SlideShare a Scribd company logo
1 of 114
Download to read offline
research bridges railways tunnelling monitoring technology management international
Vienna Consulting Engineers
Status and Outlook
Helmut Wenzel, Tokyo, 20. 10. 2008
SHM of Bridges 2008
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
2
Motivation for Health Monitoring
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
3
Typical Life Cycle of a Structure
BRIMOS
10.0
Global Level
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
4
Failure
[MPA Stuttgart]
time
modes
Warning
Structural Performance over Time
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
5
o
target
BRIDGE RELIABILITY PROFILE
TIME
PERFORMANCE
TR,1 TR,2
[Frangopol, 2008]
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
6
Prediction of Bridge Performance with and without
Monitoring
Time
Bridge
performance
With
monitoring
Without
monitoring
Performance threshold
Maintenance
(a)
t1 t0 Time
Bridge
performance
Performance threshold
With
monitoring
Without
monitoring
Maintenance
t1
t0
(b)
• Health monitoring can be continuous or discrete and with different
levels of accuracy;
• Performance prediction can be significantly improved through
integrated monitoring and simulation.
[Frangopol, 2008]
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
7
RELIABILITY INDEX PROFILE MODEL AND
ASSOCIATED RANDOM VARIABLES
o
PI
t P
t P
t P
t
PD
t
PD
t
PD
t
target

1

1

1

1

1
tR
R
)
(t
f
T
R
f
T
R
(t
tRP
R
P
)


f

o

o
f


(t
I
)
tI
f







f
f



f

P
D
)
P
D
(t
tPD
f

P
(t
P
)
tP
P
I
f

(t
P
I
)
tPI
REHABILITATION TIME, t
RP
REHABILITATION TIME, t
R
WITHOUT PREV. MAINT.

I
t
BRIDGE AGE, YEARS
WITH PREV. MAINT.



[Frangopol, 2008]
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
8
1. Concept (Clear Objectives) and Design
2. Optimisation and Cost-Benefit Analysis
3. Hardware
4. Software
5. Communication and Web Interface
6. Commissioning and Start Up
7. Reporting Structure
8. Periodic Reporting
9. Analysis and Expertise
10. Thresholds and Warning
11. Periodic Maintenance
12. System Upgrade
SHM in Practice
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
9
1. System Identification (SI)
2. Load Model Calibration
3. Identification of Load Pattern
4. Understanding of the cyclic Behavior
5. Find overloaded Vehicles
6. Assess extreme Events (EQ)
7. Define Condition (SHM)
8. Degradation Model
9. Find, Locate and Quantify Damage
10.Satisfy the Law and some more
Objectives in Practice
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
10
Complete Integrated Monitoring System
Automated
Data
Acquisition
Self Learning System
Monitoring Input
Sensor
Sensor/Actuator System
for Acoustic Monitoring
ACTUAL SENSOR
DATABASE
EXTERNAL
DATA
KNOWLEDGE
BASES
HISTORY
DATABASE
ARTIFICIAL INTELLIGENCE
GLOBAL DECISION SUPPORT
Internet
OPERATION
PROCESSING
PIPE DESIGN
SYSTEM
ENGINEERING
MATERIAL
TESTING
LIFE CYCLE
MANAGEMENT
IAEA
REGULATOR
Not accessible part
of the piping system
LOCAL DECISION SUPPORT
Sensor
Damage Identification and localisation
Cleaned Sensor Data
Operation
Modes
Low Margin
Other
Scientific
Use Warning
Emergency
Normal
Prognosis
Forensic
Analysis
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
11
Toxic Chemicals
Platform
19.5m
Chlorgas
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
12
Concept of SHM system
Decision
Support
System
(DSS)
1
2
4
Crucial error-prone
part of the pipe
Piezo arrays for guided wave monitoring (local information)
3
Low-frequency
node (passive)
High-frequency
nodes (active)
High-frequency
nodes (active)
Acceleration sensors 1-4
for vibration monitoring
(global information)
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
13
a. Unbeschädigte Glocke
Anregung Lineares Spektrum
Glocke schwingt in Resonanz
Sensor
Amplitude
Frequenz
Mode 1 Mode 2 Mode
3
b. Schadhafte Glocke
Anregung
Nichtlineares Spektrum
Glocke ändert Frequenzen und
Amplituden
Sensor
Amplitude
Frequenz
Mode 1 Mode 2 Mode 3
BRIMOS Identification
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
14
Guided wave based SHM
Local excitation
Guided wave propagation
along the pipe wall
Guided wave propagation in pipes
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
15
Aug. 1st 2007
Avoidable by Monitoring ?
Aug.
1st
1976
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
16
I-35 Collapse (FHWA view Sept. 2008)
| A gusset plate has been wrongly
designed (1/2” instead of 1”)
| Dead Load has been increased by
20% over the 40 years of life
| During retrofit works a local pile of
gravel (190 tons) has triggered the
failure
| Could Monitoring have helped?
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
17
I-35 Bridge before collapse
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
18
Critical Joint, Gusset Plate
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
19
Retrofit work piling of gravel
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
20
Forensic Study
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
21
Joint Details
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
22
Failure Model
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
23
Monitoring retrofit works in Austria
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
24
RISK BASED MANAGEMENT
BRIMOS
VCDECIS
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
25
BRIMOS for Bridges
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
26
Hardware for Health Monitoring
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
27
Key Problem in Civil Engineering SHM
Discrepancy in life time expectation
Major Structures min. 100 years
Monitoring Systems min. 3 years
Wireless? An Illusion?
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
28
1. Concept (Clear Objectives) and Design
2. Optimisation and Cost-Benefit Analysis
3. Hardware
4. Software
5. Communication and Web Interface
6. Commissioning and Start Up
7. Reporting Structure
8. Periodic Reporting
9. Analysis and Expertise
10. Thresholds and Warning
11. Periodic Maintenance
12. System Upgrade
SHM in Practice
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
29
ABA Permanent Monitoring since 1997
Sensor 1,
Kanal 1, 2, 3
Sensor 2,
Kanal 4, 5, 6
Sensor 3,
Kanal 7, 8, 9
Trigger:
Wind Speed  70 km/h
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
30
Tragwerk
Schornstein
Frequenz
Zeit
acc001
0
25
50
75
100
125
150
175
200
225
250
275
300
325
350
375
1.5
1.6
1.7
1.8
1.9
2.0
2.1
2.2
2.3
2.4
2.5
2.6
2.7
2.8
2.9
3.0
3.1
mg
12 13 16 17
Frequenz
Zeit
Identification
Wind triggered global modes
09.11.07
20.11.07
12-13 Hz 16-17 Hz
Kanal_10
10.11 11.11 12.11 13.11 14.11 15.11 16.11 17.11 18.11 19.11 20.11
2007
45.0
47.5
50.0
52.5
55.0
57.5
60.0
62.5
65.0
67.5
70.0
72.5
75.0
77.5
km/h
Measured Wind Speed
1 2 1 2
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
31
Trend over the past 7 years
1 2 1 2
12 13
In Detail:
12-13 Hz
1. Hanger Mode
Frequenz
Zeit
Frequenz
Zeit
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
32
Cracks from Fatigue and Overload
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
33
Monitoring Campaign
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
34
MONITORING CAMPAIGN
Sensor Placement
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
35
Steifigkeits-Verhältniswert
BERGAUF vs BERGAB
0,32
0,42
0,52
0,62
0,72
0,82
0,92
1,02
1,12
1,22
0 10 20 30 40 50 60 70
Laufindex Diagonal-Streben
BERGAUF_Lambda1^2/L^2....VollEingesp BERGAUF_Lambda2^2/L^2....EingespGelenk
BERGAUF_Lambda3^2/L^2....NachgEingesp BERGAB_Lambda1^2/L^2....VollEingesp
BERGAB_Lambda2^2/L^2....EingespGelenk BERGAB_Lambda3^2/L^2....NachgEingesp
P
atsch
S
chönberg
EXPECTED RESULTS FROM CALCULATION
Target Values
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
36
RESULTS OF THE MEASUREMENTS
Verlauf der Messwerte f1
24,5
29,5
34,5
39,5
44,5
49,5
54,5
59,5
Feld B | Feld I | Feld II | Feld III | Feld IV | Feld V
Hz
BERGAB
BERGAUF
Monitored Values
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
37
AbweichungderMesswertef1vonden
Erwartungwertenf1
-35
-30
-25
-20
-15
-10
-5
0
FeldB | FeldI | FeldII | FeldIII | FeldIV | FeldV
%
B42QV-N
II6-12QV-
IV 6QV-N
V24QV-N
V48QV-
B6QV-N
II56' QV-N
II48' QV-N
Comparison
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
38
DMS_RFBB_o (...8)
DMS_RFBB_mo (...1)
DMS_RFBB_mu (...4)
DMS_RFBB_mu (...4)
DMS_RFBB_u (...6)
DMS_RFBI_u (...5)
DMS_RFBI_o (...7)
DMS_RFBI_mo (...2)
DMS_RFBI_mI (...9)
DMS_RFBI_mB (...10)
DMS_RFBI_mu (...3)
DMS - Profil
Sondermessung Mai 2007
(V30 QV-N und S)
Sensor: Spider 8_1 CH...
Nummerierung nach Reihenfolge der Montage
Richtung Innsbruck (S)
Richtung Brenner (N)
Lage der Dehnmessstreifen:
RFBB_o.... berer Anschluss
RFBB_mo... Strebenmitte, Oberseite
RFBB_mu... Strebenmitte, Unterseite
RFBB_u.... Unterer Anschluss
Richtungsfahrbahn Brenner, o
RFB Brenner,
RFB Brenner,
RFB Brenner,
RFBI_o... berer Anschluss
RFBI_mo... Strebenmitte, Oberseite
RFBI_mI... Strebenmitte, seitlich (Innsbruck)
RFBI_mB... Strebenmitte, seitlich (Brenner)
RFBI_mu... Strebenmitte Unterseite
RFBI_u...
Richtungsfahrbahn Innsbruck, o
RFB Innsbruck,
RFB Innsbruck,
RFB Innsbruck,
RFB Innsbruck,
RFB Innsbruck, unterer Anschluss
Stationierung des Profils: x = 621m (entspricht
36m von WL Schönberg)
VERIFICATION by STRAIN GAGES
Proof Test
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
39
Truck Passage (Stress)
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
40
Ende Feld V
ZWEI LKWs
Dyges-Zeit 09:40:25
Video-Zeit 09:47:11
v= 48,16 km/h; 44,93 km/h
Dyges = 5,9721 mm ; 4,0974 mm
=>
Scaling Factor = 0,749 ; 0,758
Dygeskal = 4,4731 mm ; 3,1058 mm
Entspr. 35 t
22 t
v-Klass 45-50 km/h; 40-45 km/h
Corresponding LOAD MODEL
Load Model Determination
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
41
Rainflow Matrix
Damage Matrix
Life Time Prediction
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
42
VERIFICATION of TEMPERATURE IMPACT
Temperature Influence
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
43
st_A_o_gesamt st_A_u_gesamt st_RFBB_a_gesamt st_RFBB_m_gesamt st_RFBB_o_gesamt
st_RFBB_u_gesamt st_RFBI_a_gesamt st_RFBI_m_gesamt st_RFBI_o_gesamt st_RFBI_u_gesamt
24.5, 0h 24.5, 12h 25.5, 0h 25.5, 12h 26.5, 0h 26.5, 12h 27.5, 0h 27.5, 12h
2007
12
14
16
18
20
22
24
26
28
30
32
34
36
38
°C
Daily TEMPERATURE Records
St_RFBB_o
St_RFBB_m
St_RFBB_a
St_RFBB_u
St_RFBI_u
St_RFBI_o
St_RFBI_m
St_RFBI_a
L_RFBI
L_RFBB
St_A_u
St_A_o
Temperatur - Profil (bei Stütze V)
Sondermessung Mai 2007
Richtung Innsbruck
Richtung Brenner
Stationierung des Profils: x = 576m (entspricht
81m von WL Schönberg)
Typical Temp. Profile
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
44
gesamt_durchbiegungen MQ2_InnenTemp_Pt100 Strahlungsleistung Luftfeuchte
23.5, 0h 23.5, 8h 23.5, 16h 24.5, 0h 24.5, 8h 24.5, 16h 25.5, 0h 25.5, 8h 25.5, 16h 26.5, 0h 26.5, 8h
2007
-10
0
10
mm
15.0
17.5
20.0
22.5
25.0
27.5
°C
0.00
0.25
0.50
0.75
1.00
kW/m^2
40
60
80
100
%rF
VERIFICATION of RADIATION IMPACT
Radiation Extreme
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
45
Early Damage Detection
| Damage Indicator by RDT
| Problem of Repetition
Hauptschnitt
3430
166
1
7 1 11
1
2 1
1 1 2
K1
K2
K3
2
K4
K5
5
3
1 7 2
5
VCDAMED
VCE Damage Indicator
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
46
Test Beam before testing
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
47
Excitation Device (KUL)
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
48
Cable Stressing
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
49 Impact test on post tensioned beam
120.00
G kg

 response trough frequency domain
Impact Load constant
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
50
Trend Development
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
51
Variation of Damping over Time
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
52 Damage Localization by Wavelet Analysis
Wavelet Results
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
53
Damage Indicator for Health Monitoring
Energy Transfer
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
54
Frequency Development
sp02_214 sp02_221 sp02_223 sp02_225 sp02_227 sp02_228
sp02_230
0.0000
0.0964
0.1929
0.2893
0.3857
0.4821
0.5786
0.6750
0.7714
0.8679
0.9643
1.0607
1.1571
1.2536
1.3500
mV
0.000 0.909 1.818 2.727 3.636 4.545 5.455 6.364 7.273 8.182 9.091 10.000
Hz
03.04.03 08:56:01
Cable II & IV released
Cable II, IV & III released
Cable II, IV, III & VI released
Cable II, IV, III, VI & V released
Cable II released
Full compression force
Reinforced Beam
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
55
Data Base driven Statistics
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
56
A1 - Überführung Regau
1
BRIMOS
10.0
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
57
Regau Cross Section
800
470
166
40
12
18
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
58
Sensor Layout
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
59
0.00 1.36 2.73 4.09 5.45 6.82 8.18 9.55 10.91 12.27 13.64 15.00
Hz
ohne Last
mit Last
unter
hoher Last
Changing Spectral Characteristics
green undamaged
blue 1. Damage
red strong Damage
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
60
Artificial Damage
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
61
Artificial Damage
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
62
Demolition of the Structure
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
63
Händischer Ausbau
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
64
5 wire breaks at Cl 0.1%
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
65
Corrosion of Wires
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
66
Trend bei intakter Brücke
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
67
Trend bei Schadensereignis
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
68
S101 Artificial Damage Test
9. – 12. December 2008
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
69
S101 Artificial Damage Test
9. – 12. December 2008
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
70
SAFEPIPES: Fatigue Test
VCE
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
71
Experimental Verification MPA
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
72
VCE Damage Detection
Undamaged Structure
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
73
VCE Damage Detection
Undamaged Structure
MIMOSA Project
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
74
VCE Damage Detection
Mode 19
Mode 5
Damaged Structure
MIMOSA Project
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
75
VCE Damage Detection
Cascade 5
Cascade 19
Damaged Structure
MIMOSA Project
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
76
Failure
[MPA Stuttgart]
time
modes
Warning
Structural Performance over Time
Damaged Structure
MIMOSA Project
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
77
1. Concept (Clear Objectives) and Design
2. Optimisation and Cost-Benefit Analysis
3. Hardware
4. Software
5. Communication and Web Interface
6. Commissioning and Start Up
7. Reporting Structure
8. Periodic Reporting
9. Analysis and Expertise
10. Thresholds and Warning
11. Periodic Maintenance
12. System Upgrade
SHM in Practice
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
78
1. Concept (Clear Objectives) and Design
2. Optimisation and Cost-Benefit Analysis
3. Hardware
4. Software
5. Communication and Web Interface
6. Commissioning and Start Up
7. Reporting Structure
8. Periodic Reporting
9. Analysis and Expertise
10. Thresholds and Warning
11. Periodic Maintenance
12. System Upgrade
SHM in Practice Important Issues
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
79
1. Concept (Clear Objectives) and Design
2. Optimisation and Cost-Benefit Analysis
3. Hardware
4. Software
5. Communication and Web Interface
6. Commissioning and Start Up
7. Reporting Structure
8. Periodic Reporting
9. Analysis and Expertise
10. Thresholds and Warning
11. Periodic Maintenance
12. System Upgrade
SHM in Practice Important Issues
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
80
1. Concept (Clear Objectives) and Design
2. Optimisation and Cost-Benefit Analysis
3. Hardware
4. Software
5. Communication and Web Interface
6. Commissioning and Start Up
7. Reporting Structure
8. Periodic Reporting
9. Analysis and Expertise
10. Thresholds and Warning
11. Periodic Maintenance
12. System Upgrade
SHM in Practice Important Issues
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
81
1. Concept (Clear Objectives) and Design
2. Optimisation and Cost-Benefit Analysis
3. Hardware
4. Software
5. Communication and Web Interface
6. Commissioning and Start Up
7. Reporting Structure
8. Periodic Reporting
9. Analysis and Expertise
10. Thresholds and Warning
11. Periodic Maintenance
12. System Upgrade
SHM in Practice Important Issues
research bridges railways tunnelling monitoring technology management international
Vienna Consulting Engineers
Dynamic bridge behaviour based on periodic and
permanent monitoring with BRIMOS®
and Finite Element Analysis
Measurement, Analysis and
Interpretation of Results
SHM Example: Colle Isarco Viaduct
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
83
I ) SCOPE OF WORK
II ) DYNAMIC SYSTEM IDENTIFICATION – 2007
III ) PROGRESSION OF MAINTENANCE CONDITION 2007-2008
IV ) SUMMERY AND EXPERTISE
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
84
Scope of Work
CW North - North Main structure North
Main structure South
CW North - South
CW South - North CW South - South
Carriageway North
Carriageway South
The investigation at the Colle Isarco Viaduct included three essential
parts:
 A detailed initial measurement campaign with BRIMOS® in the
period of the 26th to the 30th of March in 2007.
 Two permanent monitoring systems – one for every carriageway,
2007-2008
 A second measurement campaign with BRIMOS® one year after
the initial one, which was performed from the 3rd to the 7th of
March in 2008.
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
85
Dynamic system identification – FE model
1st bending mode – 1BT main span 2nd bending mode – 1BT main cantilever
4th bending mode – 2BT main cantilever
3rd bending mode – 1BT main hinged girder
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
86
Sensor positions for the
main structures
Measurement based condition assessment 2007– main structures
carriagway North carriageway South
1st
bending mode 0.99 0.96 1BT main span
2nd
bending mode 1.10 1.10 1BT main cantilever
3rd
bending mode 3.83 3.89 1BT main hinged girder
4th
bending mode 6.11 6.10 2BT main cantilever
Eigenfrequency
[Hz]
Measurement campaign 2007
Eigenfrequencies of the main structures
ANPSD (vertical direction) for all measurement files, 0-15 Hz; Carriageway North (left)
and carriageway South (right)
Dynamic System Identification – 2007
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
87
time
frequency
time
frequency
NORD Station in m SUED
-2,00 -2,00
-1,50 -1,50
-1,00 -1,00
-0,50 -0,50
0,00 0,00
0,50 0,50
1,00 1,00
1,50 1,50
2,00 2,00
0,00 50,00 100,00 150,00 200,00 250,00 300,00 350,00 400,00 450,00 500,90
NORTH SOUTH
NORD Station in m SUED
-2,00 -2,00
-1,50 -1,50
-1,00 -1,00
-0,50 -0,50
0,00 0,00
0,50 0,50
1,00 1,00
1,50 1,50
2,00 2,00
0,00 50,00 100,00 150,00 200,00 250,00 300,00 350,00 400,00 450,00 500,90
NORTH SOUTH
NORD Station in m SUED
-2,00 -2,00
-1,50 -1,50
-1,00 -1,00
-0,50 -0,50
0,00 0,00
0,50 0,50
1,00 1,00
1,50 1,50
0,00 50,00 100,00 150,00 200,00 250,00 300,00 350,00 400,00 450,00 500,90
NORTH SOUTH
NORD Station in m SUED
-2,00 -2,00
-1,50 -1,50
-1,00 -1,00
-0,50 -0,50
0,00 0,00
0,50 0,50
1,00 1,00
1,50 1,50
0,00 50,00 100,00 150,00 200,00 250,00 300,00 350,00 400,00 450,00 500,90
NORTH SOUTH
NORD Station in m SUED
-2,00 -2,00
-1,50 -1,50
-1,00 -1,00
-0,50 -0,50
0,00 0,00
0,50 0,50
1,00 1,00
1,50 1,50
2,00 2,00
0,00 50,00 100,00 150,00 200,00 250,00 300,00 350,00 400,00 450,00 500,90
NORTH SOUTH
NORD Station in m SUED
-2,00 -2,00
-1,50 -1,50
-1,00 -1,00
-0,50 -0,50
0,00 0,00
0,50 0,50
1,00 1,00
1,50 1,50
2,00 2,00
0,00 50,00 100,00 150,00 200,00 250,00 300,00 350,00 400,00 450,00 500,90
NORTH SOUTH
NORD Station in m SUED
-1,00 -1,00
-0,50 -0,50
0,00 0,00
0,50 0,50
1,00 1,00
1,50 1,50
2,00 2,00
2,50 2,50
0,00 50,00 100,00 150,00 200,00 250,00 300,00 350,00 400,00 450,00 500,90
NORTH SOUTH
NORD Station in m SUED
-1,00 -1,00
-0,50 -0,50
0,00 0,00
0,50 0,50
1,00 1,00
1,50 1,50
2,00 2,00
2,50 2,50
0,00 50,00 100,00 150,00 200,00 250,00 300,00 350,00 400,00 450,00 500,90
NORTH SOUTH
Mode shape 1 – 0.99 Hz 1BT main span Mode shape 2 – 1.10 Hz 1BT main cantilever
Mode shape 4 – 6.11 Hz 1BT main cantilever
Mode shape 3 – 3.83 Hz 1BT main hinged girder
Trend of stiffness in terms of time
Carriageway North Carriageway South
Dynamic System Identification – 2007
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
88
Amplitude
Frequenz
6.4 mm²/s²
64 mm²/s²
2000 mm²/s²
1.EF
2.EF
3.EF
4.EF
5.EF
6.EF
7.EF
8.EF
9.EF
10.EF
10000
1000
100
10
0.1 1 10 100 1000
I II
III IV
Amplitude
Frequenz
10000
1000
100
10
0.1 1 10 100 1000
I II
III IV
3.78
3.82
3.63
3.61
3.62
4.04
3.99
3.70
3.73
3.68
3.86
4.11
3.73
4.17
10.00
3.42
3.99
4.14
4.04
3.88
4.08
4.21
4.20
4.19
4.42
6.19
10.00
0.60
0.51
0.48
0.51
5.76
10.00
5.27
3.24
3.13
3.13
3.88
2.91
2.89
2.92
2.78
3.44
3.34
10.00
3.65
2.96
2.95
3.07
3.29
4.22
3.71
3.99
4.21
4.83
3.02
5.33
3.38
4.87
0
2
4
6
8
10
12
390 440 490 540 590 640 690 740 790
Station [m]
Damping
values
[%]
7.62
7.16
9.95
5.32
7.69
8.54
8.78
9.00
9.06
9.49
10.00
0.99
0.93
0.96
6.30
10.00
8.05
7.69
7.91
7.88
7.83
10.00
3.49
3.47
3.39
3.38
4.32
2.23
4.30
6.61
10.00
10.00
4.82
4.90
0
2
4
6
8
10
12
390 440 490 540 590 640 690 740 790
Station [m]
Damping
values
[%]
Vibration Intensity
Carriageway North Carriageway South
Pattern of damping values
Carriageway North Carriageway South
Dynamic System Identification – 2007
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
89
Sensor position northern part
Measurement based condition assessment 2007– Northern and Southern part of the bridge
Sensor position southern part
CW North
- North
CW North
- South
CW South
- North
CW South
- South
Trend of stiffness in vertical direction, 0.2 – 25 Hz
Dynamic System Identification – 2007
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
90
Progression of maintenance condition 2007 – 2008
Main structures
Structurs´relevant
stiffness-pattern in the
vertical dimension over
the measurements´entire
time period, represented
by the reference sensor
0.2 - 7 Hz
Carriageway North
Northern part
Carriageway South
Northern part
Carriageway North
Southern part
Carriageway South
Southern part
Dynamic System Identification – 2008
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
91
Amplitude
Frequenz
6.4 mm²/s²
64 mm²/s²
2000 mm²/s²
1.EF
2.EF
3.EF
4.EF
5.EF
6.EF
7.EF
8.EF
9.EF
10.EF
10000
1000
100
10
0.1 1 10 100 1000
I II
III IV
Amplitude
Frequenz
10000
1000
100
10
0.1 1 10 100 1000
I II
III IV
Amplitude
Frequenz
10000
1000
100
10
0.1 1 10 100 1000
I II
III IV
Amplitude Frequenz
6.4 mm²/s²
64 mm²/s²
2000 mm²/s²
1.EF
2.EF
3.EF
4.EF
5.EF
6.EF
7.EF
8.EF
9.EF
10.EF
10000
1000
100
10
0.1 1 10 100 1000
I II
III IV
1.94
2.82
6.85
4.49
10
4.17
4.13
4.38
4.3
4.35
4.48
4.46
4.49
4.55
10
2.25
5.82
0.99
4.09
3.22
6.13
6.17
4.83
4.95
5.15
3.75
3.79
3.66
3.47
3.40
3.45
3.34
3.37
3.34
8.84
4.15
3.50
3.32
3.36
3.19
3.21
3.17
3.06
3.18
7.77
3.21
3.13
2.91
2.82
3.45
0
2
4
6
8
10
12
400 450 500 550 600 650 700 750
0.43
0.42
0.44
0.44
1.58
0.43
0.40
0.42
0.41
0.41
0.42
0.43
0.42
0.43
3.26
0.44
0.42
0.42
0.42
0.41
0.42
0.42
0.42
0.45
0.41
0.42
0.43
0.40
3.10
-0.47
-0.39
1.71
6.30
3.07
2.66
6.57
0.44
0.39
0.36
0.37
0.36
0.38
0.38
0.36
0.32
10.00
0.32
0.31
0.31
0.31
-1
1
3
5
7
9
11
400 450 500 550 600 650 700 750 800
8.61
8.98
8.38
8.07
0.54
9.44
9.09
8.81
7.68
9.27
8.84
9.53
8.63
9.15
10.00
5.06
3.97
3.60
8.51
8.68
8.48
5.72
5.89
5.76
5.80
0
2
4
6
8
10
12
400 450 500 550 600 650 700 750 800
0.86
0.87
0.78
0.82
1.82
7.45
7.57
5.56
5.85
6.41
6.66
6.46
6.50
6.55
9.31
10.00
6.81
6.85
6.35
6.75
6.55
6.96
6.99
7.14
7.00
0.65
0.66
0.62
0.64
0.66
0.66
0.66
0.66
0.65
0.68
10.00
0.71
0.68
0.67
0.64
0.67
0.63
0.62
0.63
0.76
10.00
0.65
0.60
0.57
0.62
0
2
4
6
8
10
12
400 450 500 550 600 650 700 750 800
Vibration Intensity and Damping Analysis - Main structures
Carriageway North
Northern part
Carriageway South
Northern part
Southern part
Southern part
Pattern of damping values
1BT main span 1BT main
cantilever
Pattern of damping values
1BT main span 1BT main
cantilever
Dynamic System Identification – 2008
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
92
Joint 1-2 1.1
Joint 2 - 2.2 0.6
Joint 2.2-3.1 1.0
Joint 3.1-3.2 1.6
Joint 3.2 - 4.1 1.3
Joint 4.1-4.2 1.0
Joint 4.2 - 5.1 1.5
Joint 5.1-5.2 0.8
Joint 5.2 - 6.1 1.2
Joint 6.1-6.2 0.7
on average 1.1
CW North -
North
Deviation of the
Eigenfrequencies
2007 vs. 2008
[%]
Joint 10.1 - 10.2 1.4
Joint 10.2 - 11.1 1.0
Joint 11.1 - 11.2 1.8
Joint 11.2 - 12.1 1.6
Joint 12.1 - 13 0.9
Joint 13 - 14 1.7
on average 1.4
CW North - South
Deviation of the
Eigenfrequencies
2007 vs. 2008
[%]
Joint 1-2 1.4
Joint 2 - 2.2 1.2
Joint 2.2-3.1 0.9
Joint 3.1-3.2 1.8
Joint 3.2 - 4.1 0.9
Joint 4.1-4.2 1.5
Joint 4.2 - 5.1 1.2
Joint 5.1-5.2 1.6
Joint 5.2 - 6.1 0.6
Joint 6.1-6.2 0.9
on average 1.2
Deviation of the
Eigenfrequencies
2007 vs. 2008
[%]
CW South - North
Joint 10.1 - 10.2 1.1
Joint 10.2 - 11.1 1.4
Joint 11.1 - 11.2 1.3
Joint 11.2 - 12.1 1.4
Joint 12.1 - 13 2.9
Joint 13 - 14 ---
on average 1.6
Deviation of the
Eigenfrequencies
2007 vs. 2008
[%]
CW South - South
0
0.5
1
1.5
2
2.5
3
N
O
R
T
H
E
R
N
P
A
R
T
J
O
I
N
T
1
-
2
J
O
I
N
T
2
-
2
.
2
J
O
I
N
T
2
.
2
-
3
.
1
J
O
I
N
T
3
.
1
-
3
.
2
J
O
I
N
T
3
.
2
-
4
.
1
J
O
I
N
T
4
.
1
-
4
.
2
J
O
I
N
T
4
.
2
-
5
.
1
J
O
I
N
T
5
.
1
-
5
.
2
J
O
I
N
T
5
.
2
-
6
.
1
J
O
I
N
T
6
.
1
-
6
.
2
S
O
U
T
H
E
R
N
P
A
R
T
J
O
I
N
T
1
0
.
1
-
1
0
.
2
J
O
I
N
T
1
0
.
2
-
1
1
.
1
J
O
I
N
T
1
1
.
1
-
1
1
.
2
J
O
I
N
T
1
1
.
2
-
1
2
.
1
J
O
I
N
T
1
2
.
1
-
1
3
J
O
I
N
T
1
3
-
1
4
Joints
Deviation
[%]
NORTHERN PART
SOUTHERN PART
Northern and Southern part of the bridge
Overwiew of the
measurement-
configuration in
2008 and 2007
Deviation of the eigenfrequencies
Dynamic System Identification – 2008
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
93
Permanent Monitoring
Ext. Epi-Sensor
BRIMOS Recorder
6.4
16.4
26.4
6.5
16.5
26.5
5.6
15.6
25.6
5.7
15.7
25.7
4.8
14.8
24.8
2007
2.5
5.0
7.5
10.0
12.5
15.0
17.5
20.0
22.5
25.0
27.5
30.0
Ext. Epi-Sensor
BRIMOS Recorder
Sensor layout
Trend of stiffness in
terms of time (0.2-50
Hz), spectrum and
temperature sequence
over the whole
measurement period in
vertical direction (CW
South)
Dynamic System Identification – 2008
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
94
Trend of stiffness in terms of time, spectra and temperature sequence over
the whole measurement period in vertical direction (CW South)
0.75 – 1.25 Hz
1BT main span
1BT main cantilever
3.5 – 4.25 Hz
1BT main hinged
girder
5.5 – 6.5 Hz
2BT main cantilever
Dynamic System Identification – 2008
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
95
Trend of stiffness in terms of time, spectra and temperature sequence over
one singel day in detail - in vertical direction (CW South)
0.75 – 1.25 Hz
1BT main span
1BT main cantilever
3.5 – 4.25 Hz
1BT main hinged girder
5.5 – 6.5 Hz
2BT main cantilever
0.2 -50 Hz
Dynamic System Identification – 2008
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
96
temperature temperature_smoothed_1 temperature_smoothed_2
torsion_rec_south torsion_rec_south_smoothed_1 torsion_rec_south_smoothed_2
torsion_epi_south torsion_epi_south_smoothed_1 torsion_epi_south_smoothed_2
27.3 16.4 6.5 26.5 15.6 5.7 25.7 14.8
2007
5
10
15
20
25
30
°C
-600
-500
-400
-300
-200
-100
0
mGrad
Analysis of long-term torsion (environmental condition)
Trend of torsion – recorder (blue) and epi-sensor (red)
– versus trend of temperature (carriageway South)
Dynamic System Identification – 2008
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
97
The structure’s dynamic response reveals the bridge to be in
good condition, but due to the design of the bridge a high
sensitivity for dynamic vibrations is clearly visible.
Prospectively the area of the main hinged girder will demand
special attention. This is indicated by the following facts:
In the trend cards of the carriageway South especially the
eigenfrequencies of the main hinged girder show a wide
variance.
In the damping analysis particularly in the transition between
the main cantilevers and the main hinged girders distinctly
increased damping values occur. Based on the measurement in
2007 this concerns especially the carriageway South, whereas
the results of the investigation in 2008 show increased values
at the carriageway North.
The analysis of vibration intensity reveals some values in the
range of II at the carriageway North and even values in the
range of III at the carriageway South. Because of the fact that
the traffic was restricted during the measurement this refers to
a high dynamic sensitivity of the structure.
Summary and Expertise
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
98
Those facts indicate a high energy dissipation in the area of the
main hinged girder on the one hand and in the area of the
junction between the hinged girder and the cantilever on the
other hand.
As a result this leads to an accelerated decrease of the viaduct’s
service life in the long term.
In respect of the static system this seems to be problematic
because the Viaduct’s design does not show any redundancy.
Therefore damages to load bearing parts can cause a sudden
collapse of the system.
Summary and Expertise
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
99
JUDGEMENT
According to BRIMOS classification the
structure is rated as category B. This category
represents „structures in good condition with
local damages“.
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
100
 Immediate actions: NONE
 Short-term actions: NONE
 Mid-term actions: NONE
 Long-term actions: Permanent monitoring with real-
time data analysis and automatic alarming in the case of
changes in the behaviour (existing system);
Monitoring of the overall structural condition by periodic
measurements with BRIMOS every six years
This approach assures the determination and observation of
slowly progressing processes in the structure, which lead
to damage or to deterioration of the structure’s operational
integrity.
In this context the increased values of vibration intensity, the
damping pattern as well as the broad distribution in the
range of the main hinged girder’s eigenfrequencies have to
be emphasised.
RECOMMENDATIONS
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
101
Standsicherheitsbeurteilungsblatt A PRODUCTOF VCE
R
Mastbezeichnung:
Bergstrasse Mast 1
Maststandort :
Stadt Bad Kreuznach
GPS-Koordinaten:
-/-
Masttyp / Mastmaterial / Aufstellungsjahr :
Lichtmast / Stahlbeton / -
Lageskizze: Foto:
Letzte Prüfung / Prüfer:
-/-
Aktuelle Prüfung / Prüfer:
19. 04. 2006/ DI Furtner
Anmerkungen:
Seitlich frei liegende Bewehrung
Frequenzspektrum:
Spektrum_Quer Spektrum_Längs
0
20
40
60
80
100
120
140
µg
F1 Quer= 2.425 Hz
0
50
100
150
200
µg
F1 Längs = 2.491 Hz
0 5 10 15 20 25 30 35 40 45 50
Hz
Klassifizierung:
Inspektion
BRIMOS
Nächste Prüfung:
April 2009
Strukturdynamische Prüfung mit BRIMOS 
Bretzenheimer Strasse
Bergstrasse
Mast 1
Mast 3
Mast 2
B
A
90000 Lighting Poles
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
102
1. Environmental Influences
2. Various Non Linearity
3. Cyclic Behavior
4. Elimination of Noise
5. Aleatory and epistemic Uncertainties
6. Data Management
7. Pattern Recognition
8. Cost – Benefit, LCC Aspects
9. Decision Support, Thresholds
10.Warning and Risk Management and, and
Research Demand
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
103
Conclusions
| SHM of Bridges has become mature, but
is still a challenge to Experts
| New promising methodologies are
emerging and should be used
| There is still a gap in knowledge requiring
further investigations and research
| The FP7 IRIS Project will bring progress
| The MIMOSA Project - Collaboration
| Summer Academy and Tutorial Sept. 09
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
104
IRIS Industrial Safety
VCE
Integrated European Industrial
Risk Reduction System
CP-IP 213968-2
Thank you for your attention
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
105
IRIS Results
| The project is led and driven by industry to consolidate and
generate knowledge and technologies
| Integration of new safety concepts related to technical,
human, organizational and cultural aspects.
| The partnership represents over 1 million workers.
| The project integrates all aspects of industrial safety with
some priority on saving human lives prior cost reductions
and is particular underpinning relevant EU policies.
| The project will have an eye on risks in the modern industrial
processes.
| It shall be embedded into the usual operational procedure in
order to benefit from already available information.
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
106
January
February
March
April
May
June
July
August
September
October
November
December
July
August
September
October
November
December
January
February
March
April
May
June
July
August
September
October
November
December
January
February
March
April
May
June
July
August
September
October
November
December
2008 2009 2010 2011
Kick Off, Final
IRIS
GeneralAssembly
Executive Board
Scientific Board
Advisory Group
IRIS Conference
Current Practice WS
SP1 meeting
SP2 meeting
SP3 meeting
SP4 meeting
SP5 meeting
SP6 meeting
SP7 meeting
SP8 meeting
AnnualAssessment
Financial Report
Other
IRIS Project 2008 – 2012
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
107
Risk Management
Project Management
Natural Disasters
Mayor Accidents
Workers Safety
Environmental Disasters
Energy Production
Fertilization
Risk based Design and Operation
SP6
SP1
SP2
SP3
SP4
SP5
SP8
1 year 2 year
Project Schedule
Sub-Projects
3 year
Online Monitoring SP7
3,5 year
Cross
Coordination
IRIS Project 2008 – 2012
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
108
Disaster
Impact
Risk Factors
Vulnerability
- Social
- Economic
- Physical
- Environmental
Hazards
- Geological
- Hydrometerological
- Biological
- Technological
- Environmental
- Man made
Knowledge Development
- Information
- Education & training
- Research
Political Commitment
- International, regional,
national, local levels
- Institutional framework
(governance)
- policy development
- legislation and codes
- organizational
development
- Community actions
Application of risk
Reduction measures
- Environmental management
- Social and economic
development practices
- Technological measures
- Physical and technical measures
- land-use/urban planning
- protection of critical facilities
- Networking and partnerships
Awareness Raising
for change in behavior
Recovery
Early Warning
On line Monitoring
Decision support system
IRIS Core
Preparedness
Emergency
Management
Risk identification &
impact assessment
Vulnerability/
capability analysis
Hazard analysis &
assessment
The focus of disaster risk reduction in IRIS
Socio-cultural
IRIS Sustainable development context
Political
Economic
Ecosystems
/
Environmental
SP2
SP1
SP6
SP7
SP3 SP4 SP5
SP8
IRIS Project 2008 – 2012
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
109
Risk Management
Project Management
Natural Disasters
Mayor Accidents
W orkers Safety
Environmental Disasters
Energy Production
Cross
Coordination
Fertilization
Risk based Design and Operation
SP6
SP1
SP2
SP3
SP4
SP5
SP8
1 year 2 year
Project Schedule
Sub-Projects
3 year 4 year
Online Monitoring SP7
T8-9
T8-8
T8-7
T8-5
T8-4
T8-3
T8-2
T8-1
T7-12
T7- 11
T7-10 T7-9
T7-8
T7-7
T7-6
T7-5
T7-4
T7-2
T7-1
T6-6
T5-4
T5-3
T5-1
T5-2
T4-4
T4-3
T4-2
T4-1
T3-6
T3-5
T3-4
T3-3
T3-2
T2-4
T3-1
T2-3
T2-1
T1-4
T1-2
T1-3
T1-1
T6-5
T6-4
T6-3
T6-1
T6-2
T2-2
T7-3
T8-6
IRIS Project 2008 – 2012
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
110
0
50
100
150
200
250
300
350
400
450
0.000 0.002 0.004 0.006 0.008
Curvature in m-1
Moment
in
KN.m
Run-1 scaled, 0.03g
Run-1, 0.24g
Run-1 scaled, 0.28g, acceptable PGA
Run-1 scaled, 0.67g
acceptable PGA
IRIS Project 2008 – 2012
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
111
IRIS Project 2008 – 2012
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
112
PRE-CODE SEISMIC DESIGN LEVEL
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
0 0.2 0.4 0.6 0.8 1
ag [g]
P(S)
Slight Moderate Extensive Complete
IRIS Project 2008 – 2012
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
113
Challenges for IRIS (example SP7)
| Data Integration
| Data Handling and Formats
| Intuitive Tools
| Robust, low cost Hardware
| Standards
| Education
University of Tokyo, 20. October 2008
Vienna Consulting Engineers
SHM of Bridges
Page
114
IRIS Project 2008 – 2012
Thank you for your attention

More Related Content

Similar to 91. SHM Presentación tokio.pdf

Design of a Subsequent Water Detection System Controlled by the Microcontroller
Design of a Subsequent Water Detection System Controlled by the MicrocontrollerDesign of a Subsequent Water Detection System Controlled by the Microcontroller
Design of a Subsequent Water Detection System Controlled by the MicrocontrollerNooria Sukmaningtyas
 
Pipeline Monitoring Using Vibroacoustic Sensing – A Review
Pipeline Monitoring Using Vibroacoustic Sensing – A ReviewPipeline Monitoring Using Vibroacoustic Sensing – A Review
Pipeline Monitoring Using Vibroacoustic Sensing – A ReviewIRJET Journal
 
IRJET - Bridge Health Observation System
IRJET -  	  Bridge Health Observation SystemIRJET -  	  Bridge Health Observation System
IRJET - Bridge Health Observation SystemIRJET Journal
 
Performance_Evaluation_of_Fully_Depleted_Silicon_on_Insulator_MOSFET.pdf
Performance_Evaluation_of_Fully_Depleted_Silicon_on_Insulator_MOSFET.pdfPerformance_Evaluation_of_Fully_Depleted_Silicon_on_Insulator_MOSFET.pdf
Performance_Evaluation_of_Fully_Depleted_Silicon_on_Insulator_MOSFET.pdfIJEACS
 
Metal Detecting Bot using NodeMCU 8266
Metal Detecting Bot using NodeMCU 8266Metal Detecting Bot using NodeMCU 8266
Metal Detecting Bot using NodeMCU 8266IRJET Journal
 
Study of different contraction design of wind tunnel for better performance b...
Study of different contraction design of wind tunnel for better performance b...Study of different contraction design of wind tunnel for better performance b...
Study of different contraction design of wind tunnel for better performance b...IRJET Journal
 
EXPERIMENTAL TECHNIQUES PPT SEM 1.pptxxx
EXPERIMENTAL TECHNIQUES PPT SEM 1.pptxxxEXPERIMENTAL TECHNIQUES PPT SEM 1.pptxxx
EXPERIMENTAL TECHNIQUES PPT SEM 1.pptxxx23se04
 
20 years of development of X-ray imaging instruments for research and industr...
20 years of development of X-ray imaging instruments for research and industr...20 years of development of X-ray imaging instruments for research and industr...
20 years of development of X-ray imaging instruments for research and industr...argebit
 
Ion Tiseanu Simpozion ARoENd 2022.pdf
Ion Tiseanu Simpozion ARoENd 2022.pdfIon Tiseanu Simpozion ARoENd 2022.pdf
Ion Tiseanu Simpozion ARoENd 2022.pdfargebit
 
LOW POWER BASED TERNARY HALF ADDER USING FIN TYPE FIELD EFFECT TRANSISTOR TEC...
LOW POWER BASED TERNARY HALF ADDER USING FIN TYPE FIELD EFFECT TRANSISTOR TEC...LOW POWER BASED TERNARY HALF ADDER USING FIN TYPE FIELD EFFECT TRANSISTOR TEC...
LOW POWER BASED TERNARY HALF ADDER USING FIN TYPE FIELD EFFECT TRANSISTOR TEC...IRJET Journal
 
Development of Semi Automatic Operated Pneumatic Based Wire Stripping Machine
Development of Semi Automatic Operated Pneumatic Based Wire Stripping MachineDevelopment of Semi Automatic Operated Pneumatic Based Wire Stripping Machine
Development of Semi Automatic Operated Pneumatic Based Wire Stripping Machineijtsrd
 
Application of ultrasonic methods for manufacture.pdf
Application of ultrasonic methods for manufacture.pdfApplication of ultrasonic methods for manufacture.pdf
Application of ultrasonic methods for manufacture.pdfGuilhermedeBarros1
 
Design & manufacturing of fixture for robotic welding
Design & manufacturing of fixture for robotic weldingDesign & manufacturing of fixture for robotic welding
Design & manufacturing of fixture for robotic weldingAkash Upadhyay
 
IRJET- Design Analysis of Exhaust Muffler with VOC Emission Filter
IRJET- Design Analysis of Exhaust Muffler with VOC Emission FilterIRJET- Design Analysis of Exhaust Muffler with VOC Emission Filter
IRJET- Design Analysis of Exhaust Muffler with VOC Emission FilterIRJET Journal
 
EXPERIMENTAL STUDY ON CONCRETE BOX GIRDER BRIDGE UNDER TRAFFIC INDUCED VIBRATION
EXPERIMENTAL STUDY ON CONCRETE BOX GIRDER BRIDGE UNDER TRAFFIC INDUCED VIBRATIONEXPERIMENTAL STUDY ON CONCRETE BOX GIRDER BRIDGE UNDER TRAFFIC INDUCED VIBRATION
EXPERIMENTAL STUDY ON CONCRETE BOX GIRDER BRIDGE UNDER TRAFFIC INDUCED VIBRATIONIAEME Publication
 
Structural Health Monitoring of a Cable-Supported Zhejiang Bridge
Structural Health Monitoring of a Cable-Supported Zhejiang BridgeStructural Health Monitoring of a Cable-Supported Zhejiang Bridge
Structural Health Monitoring of a Cable-Supported Zhejiang BridgeAbdul Majid
 

Similar to 91. SHM Presentación tokio.pdf (20)

Design of a Subsequent Water Detection System Controlled by the Microcontroller
Design of a Subsequent Water Detection System Controlled by the MicrocontrollerDesign of a Subsequent Water Detection System Controlled by the Microcontroller
Design of a Subsequent Water Detection System Controlled by the Microcontroller
 
Pipeline Monitoring Using Vibroacoustic Sensing – A Review
Pipeline Monitoring Using Vibroacoustic Sensing – A ReviewPipeline Monitoring Using Vibroacoustic Sensing – A Review
Pipeline Monitoring Using Vibroacoustic Sensing – A Review
 
IRJET - Bridge Health Observation System
IRJET -  	  Bridge Health Observation SystemIRJET -  	  Bridge Health Observation System
IRJET - Bridge Health Observation System
 
Performance_Evaluation_of_Fully_Depleted_Silicon_on_Insulator_MOSFET.pdf
Performance_Evaluation_of_Fully_Depleted_Silicon_on_Insulator_MOSFET.pdfPerformance_Evaluation_of_Fully_Depleted_Silicon_on_Insulator_MOSFET.pdf
Performance_Evaluation_of_Fully_Depleted_Silicon_on_Insulator_MOSFET.pdf
 
Normarieli's final presentation
Normarieli's final presentation Normarieli's final presentation
Normarieli's final presentation
 
Metal Detecting Bot using NodeMCU 8266
Metal Detecting Bot using NodeMCU 8266Metal Detecting Bot using NodeMCU 8266
Metal Detecting Bot using NodeMCU 8266
 
Study of different contraction design of wind tunnel for better performance b...
Study of different contraction design of wind tunnel for better performance b...Study of different contraction design of wind tunnel for better performance b...
Study of different contraction design of wind tunnel for better performance b...
 
EXPERIMENTAL TECHNIQUES PPT SEM 1.pptxxx
EXPERIMENTAL TECHNIQUES PPT SEM 1.pptxxxEXPERIMENTAL TECHNIQUES PPT SEM 1.pptxxx
EXPERIMENTAL TECHNIQUES PPT SEM 1.pptxxx
 
20 years of development of X-ray imaging instruments for research and industr...
20 years of development of X-ray imaging instruments for research and industr...20 years of development of X-ray imaging instruments for research and industr...
20 years of development of X-ray imaging instruments for research and industr...
 
Ion Tiseanu Simpozion ARoENd 2022.pdf
Ion Tiseanu Simpozion ARoENd 2022.pdfIon Tiseanu Simpozion ARoENd 2022.pdf
Ion Tiseanu Simpozion ARoENd 2022.pdf
 
LOW POWER BASED TERNARY HALF ADDER USING FIN TYPE FIELD EFFECT TRANSISTOR TEC...
LOW POWER BASED TERNARY HALF ADDER USING FIN TYPE FIELD EFFECT TRANSISTOR TEC...LOW POWER BASED TERNARY HALF ADDER USING FIN TYPE FIELD EFFECT TRANSISTOR TEC...
LOW POWER BASED TERNARY HALF ADDER USING FIN TYPE FIELD EFFECT TRANSISTOR TEC...
 
Silviu Livescu
Silviu LivescuSilviu Livescu
Silviu Livescu
 
Development of Semi Automatic Operated Pneumatic Based Wire Stripping Machine
Development of Semi Automatic Operated Pneumatic Based Wire Stripping MachineDevelopment of Semi Automatic Operated Pneumatic Based Wire Stripping Machine
Development of Semi Automatic Operated Pneumatic Based Wire Stripping Machine
 
materials-15-05093.pdf
materials-15-05093.pdfmaterials-15-05093.pdf
materials-15-05093.pdf
 
Application of ultrasonic methods for manufacture.pdf
Application of ultrasonic methods for manufacture.pdfApplication of ultrasonic methods for manufacture.pdf
Application of ultrasonic methods for manufacture.pdf
 
Design & manufacturing of fixture for robotic welding
Design & manufacturing of fixture for robotic weldingDesign & manufacturing of fixture for robotic welding
Design & manufacturing of fixture for robotic welding
 
IRJET- Design Analysis of Exhaust Muffler with VOC Emission Filter
IRJET- Design Analysis of Exhaust Muffler with VOC Emission FilterIRJET- Design Analysis of Exhaust Muffler with VOC Emission Filter
IRJET- Design Analysis of Exhaust Muffler with VOC Emission Filter
 
EXPERIMENTAL STUDY ON CONCRETE BOX GIRDER BRIDGE UNDER TRAFFIC INDUCED VIBRATION
EXPERIMENTAL STUDY ON CONCRETE BOX GIRDER BRIDGE UNDER TRAFFIC INDUCED VIBRATIONEXPERIMENTAL STUDY ON CONCRETE BOX GIRDER BRIDGE UNDER TRAFFIC INDUCED VIBRATION
EXPERIMENTAL STUDY ON CONCRETE BOX GIRDER BRIDGE UNDER TRAFFIC INDUCED VIBRATION
 
Icmac syn-air-bab-v4
Icmac syn-air-bab-v4Icmac syn-air-bab-v4
Icmac syn-air-bab-v4
 
Structural Health Monitoring of a Cable-Supported Zhejiang Bridge
Structural Health Monitoring of a Cable-Supported Zhejiang BridgeStructural Health Monitoring of a Cable-Supported Zhejiang Bridge
Structural Health Monitoring of a Cable-Supported Zhejiang Bridge
 

Recently uploaded

Porous Ceramics seminar and technical writing
Porous Ceramics seminar and technical writingPorous Ceramics seminar and technical writing
Porous Ceramics seminar and technical writingrakeshbaidya232001
 
MANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLS
MANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLSMANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLS
MANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLSSIVASHANKAR N
 
VIP Call Girls Ankleshwar 7001035870 Whatsapp Number, 24/07 Booking
VIP Call Girls Ankleshwar 7001035870 Whatsapp Number, 24/07 BookingVIP Call Girls Ankleshwar 7001035870 Whatsapp Number, 24/07 Booking
VIP Call Girls Ankleshwar 7001035870 Whatsapp Number, 24/07 Bookingdharasingh5698
 
Booking open Available Pune Call Girls Pargaon 6297143586 Call Hot Indian Gi...
Booking open Available Pune Call Girls Pargaon  6297143586 Call Hot Indian Gi...Booking open Available Pune Call Girls Pargaon  6297143586 Call Hot Indian Gi...
Booking open Available Pune Call Girls Pargaon 6297143586 Call Hot Indian Gi...Call Girls in Nagpur High Profile
 
Call Girls in Nagpur Suman Call 7001035870 Meet With Nagpur Escorts
Call Girls in Nagpur Suman Call 7001035870 Meet With Nagpur EscortsCall Girls in Nagpur Suman Call 7001035870 Meet With Nagpur Escorts
Call Girls in Nagpur Suman Call 7001035870 Meet With Nagpur EscortsCall Girls in Nagpur High Profile
 
Call Girls Service Nagpur Tanvi Call 7001035870 Meet With Nagpur Escorts
Call Girls Service Nagpur Tanvi Call 7001035870 Meet With Nagpur EscortsCall Girls Service Nagpur Tanvi Call 7001035870 Meet With Nagpur Escorts
Call Girls Service Nagpur Tanvi Call 7001035870 Meet With Nagpur EscortsCall Girls in Nagpur High Profile
 
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...ranjana rawat
 
Top Rated Pune Call Girls Budhwar Peth ⟟ 6297143586 ⟟ Call Me For Genuine Se...
Top Rated  Pune Call Girls Budhwar Peth ⟟ 6297143586 ⟟ Call Me For Genuine Se...Top Rated  Pune Call Girls Budhwar Peth ⟟ 6297143586 ⟟ Call Me For Genuine Se...
Top Rated Pune Call Girls Budhwar Peth ⟟ 6297143586 ⟟ Call Me For Genuine Se...Call Girls in Nagpur High Profile
 
Introduction and different types of Ethernet.pptx
Introduction and different types of Ethernet.pptxIntroduction and different types of Ethernet.pptx
Introduction and different types of Ethernet.pptxupamatechverse
 
Russian Call Girls in Nagpur Grishma Call 7001035870 Meet With Nagpur Escorts
Russian Call Girls in Nagpur Grishma Call 7001035870 Meet With Nagpur EscortsRussian Call Girls in Nagpur Grishma Call 7001035870 Meet With Nagpur Escorts
Russian Call Girls in Nagpur Grishma Call 7001035870 Meet With Nagpur EscortsCall Girls in Nagpur High Profile
 
University management System project report..pdf
University management System project report..pdfUniversity management System project report..pdf
University management System project report..pdfKamal Acharya
 
Extrusion Processes and Their Limitations
Extrusion Processes and Their LimitationsExtrusion Processes and Their Limitations
Extrusion Processes and Their Limitations120cr0395
 
(PRIYA) Rajgurunagar Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(PRIYA) Rajgurunagar Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...(PRIYA) Rajgurunagar Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(PRIYA) Rajgurunagar Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...ranjana rawat
 
Coefficient of Thermal Expansion and their Importance.pptx
Coefficient of Thermal Expansion and their Importance.pptxCoefficient of Thermal Expansion and their Importance.pptx
Coefficient of Thermal Expansion and their Importance.pptxAsutosh Ranjan
 
Booking open Available Pune Call Girls Koregaon Park 6297143586 Call Hot Ind...
Booking open Available Pune Call Girls Koregaon Park  6297143586 Call Hot Ind...Booking open Available Pune Call Girls Koregaon Park  6297143586 Call Hot Ind...
Booking open Available Pune Call Girls Koregaon Park 6297143586 Call Hot Ind...Call Girls in Nagpur High Profile
 
The Most Attractive Pune Call Girls Budhwar Peth 8250192130 Will You Miss Thi...
The Most Attractive Pune Call Girls Budhwar Peth 8250192130 Will You Miss Thi...The Most Attractive Pune Call Girls Budhwar Peth 8250192130 Will You Miss Thi...
The Most Attractive Pune Call Girls Budhwar Peth 8250192130 Will You Miss Thi...ranjana rawat
 
UNIT-III FMM. DIMENSIONAL ANALYSIS
UNIT-III FMM.        DIMENSIONAL ANALYSISUNIT-III FMM.        DIMENSIONAL ANALYSIS
UNIT-III FMM. DIMENSIONAL ANALYSISrknatarajan
 

Recently uploaded (20)

Porous Ceramics seminar and technical writing
Porous Ceramics seminar and technical writingPorous Ceramics seminar and technical writing
Porous Ceramics seminar and technical writing
 
MANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLS
MANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLSMANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLS
MANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLS
 
VIP Call Girls Ankleshwar 7001035870 Whatsapp Number, 24/07 Booking
VIP Call Girls Ankleshwar 7001035870 Whatsapp Number, 24/07 BookingVIP Call Girls Ankleshwar 7001035870 Whatsapp Number, 24/07 Booking
VIP Call Girls Ankleshwar 7001035870 Whatsapp Number, 24/07 Booking
 
Booking open Available Pune Call Girls Pargaon 6297143586 Call Hot Indian Gi...
Booking open Available Pune Call Girls Pargaon  6297143586 Call Hot Indian Gi...Booking open Available Pune Call Girls Pargaon  6297143586 Call Hot Indian Gi...
Booking open Available Pune Call Girls Pargaon 6297143586 Call Hot Indian Gi...
 
Call Girls in Nagpur Suman Call 7001035870 Meet With Nagpur Escorts
Call Girls in Nagpur Suman Call 7001035870 Meet With Nagpur EscortsCall Girls in Nagpur Suman Call 7001035870 Meet With Nagpur Escorts
Call Girls in Nagpur Suman Call 7001035870 Meet With Nagpur Escorts
 
(INDIRA) Call Girl Aurangabad Call Now 8617697112 Aurangabad Escorts 24x7
(INDIRA) Call Girl Aurangabad Call Now 8617697112 Aurangabad Escorts 24x7(INDIRA) Call Girl Aurangabad Call Now 8617697112 Aurangabad Escorts 24x7
(INDIRA) Call Girl Aurangabad Call Now 8617697112 Aurangabad Escorts 24x7
 
Call Girls Service Nagpur Tanvi Call 7001035870 Meet With Nagpur Escorts
Call Girls Service Nagpur Tanvi Call 7001035870 Meet With Nagpur EscortsCall Girls Service Nagpur Tanvi Call 7001035870 Meet With Nagpur Escorts
Call Girls Service Nagpur Tanvi Call 7001035870 Meet With Nagpur Escorts
 
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
 
Top Rated Pune Call Girls Budhwar Peth ⟟ 6297143586 ⟟ Call Me For Genuine Se...
Top Rated  Pune Call Girls Budhwar Peth ⟟ 6297143586 ⟟ Call Me For Genuine Se...Top Rated  Pune Call Girls Budhwar Peth ⟟ 6297143586 ⟟ Call Me For Genuine Se...
Top Rated Pune Call Girls Budhwar Peth ⟟ 6297143586 ⟟ Call Me For Genuine Se...
 
Introduction and different types of Ethernet.pptx
Introduction and different types of Ethernet.pptxIntroduction and different types of Ethernet.pptx
Introduction and different types of Ethernet.pptx
 
Russian Call Girls in Nagpur Grishma Call 7001035870 Meet With Nagpur Escorts
Russian Call Girls in Nagpur Grishma Call 7001035870 Meet With Nagpur EscortsRussian Call Girls in Nagpur Grishma Call 7001035870 Meet With Nagpur Escorts
Russian Call Girls in Nagpur Grishma Call 7001035870 Meet With Nagpur Escorts
 
University management System project report..pdf
University management System project report..pdfUniversity management System project report..pdf
University management System project report..pdf
 
Extrusion Processes and Their Limitations
Extrusion Processes and Their LimitationsExtrusion Processes and Their Limitations
Extrusion Processes and Their Limitations
 
(PRIYA) Rajgurunagar Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(PRIYA) Rajgurunagar Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...(PRIYA) Rajgurunagar Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(PRIYA) Rajgurunagar Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
 
Coefficient of Thermal Expansion and their Importance.pptx
Coefficient of Thermal Expansion and their Importance.pptxCoefficient of Thermal Expansion and their Importance.pptx
Coefficient of Thermal Expansion and their Importance.pptx
 
Water Industry Process Automation & Control Monthly - April 2024
Water Industry Process Automation & Control Monthly - April 2024Water Industry Process Automation & Control Monthly - April 2024
Water Industry Process Automation & Control Monthly - April 2024
 
Booking open Available Pune Call Girls Koregaon Park 6297143586 Call Hot Ind...
Booking open Available Pune Call Girls Koregaon Park  6297143586 Call Hot Ind...Booking open Available Pune Call Girls Koregaon Park  6297143586 Call Hot Ind...
Booking open Available Pune Call Girls Koregaon Park 6297143586 Call Hot Ind...
 
The Most Attractive Pune Call Girls Budhwar Peth 8250192130 Will You Miss Thi...
The Most Attractive Pune Call Girls Budhwar Peth 8250192130 Will You Miss Thi...The Most Attractive Pune Call Girls Budhwar Peth 8250192130 Will You Miss Thi...
The Most Attractive Pune Call Girls Budhwar Peth 8250192130 Will You Miss Thi...
 
UNIT-III FMM. DIMENSIONAL ANALYSIS
UNIT-III FMM.        DIMENSIONAL ANALYSISUNIT-III FMM.        DIMENSIONAL ANALYSIS
UNIT-III FMM. DIMENSIONAL ANALYSIS
 
Roadmap to Membership of RICS - Pathways and Routes
Roadmap to Membership of RICS - Pathways and RoutesRoadmap to Membership of RICS - Pathways and Routes
Roadmap to Membership of RICS - Pathways and Routes
 

91. SHM Presentación tokio.pdf

  • 1. research bridges railways tunnelling monitoring technology management international Vienna Consulting Engineers Status and Outlook Helmut Wenzel, Tokyo, 20. 10. 2008 SHM of Bridges 2008
  • 2. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 2 Motivation for Health Monitoring
  • 3. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 3 Typical Life Cycle of a Structure BRIMOS 10.0 Global Level
  • 4. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 4 Failure [MPA Stuttgart] time modes Warning Structural Performance over Time
  • 5. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 5 o target BRIDGE RELIABILITY PROFILE TIME PERFORMANCE TR,1 TR,2 [Frangopol, 2008]
  • 6. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 6 Prediction of Bridge Performance with and without Monitoring Time Bridge performance With monitoring Without monitoring Performance threshold Maintenance (a) t1 t0 Time Bridge performance Performance threshold With monitoring Without monitoring Maintenance t1 t0 (b) • Health monitoring can be continuous or discrete and with different levels of accuracy; • Performance prediction can be significantly improved through integrated monitoring and simulation. [Frangopol, 2008]
  • 7. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 7 RELIABILITY INDEX PROFILE MODEL AND ASSOCIATED RANDOM VARIABLES o PI t P t P t P t PD t PD t PD t target  1  1  1  1  1 tR R ) (t f T R f T R (t tRP R P )   f  o  o f   (t I ) tI f        f f    f  P D ) P D (t tPD f  P (t P ) tP P I f  (t P I ) tPI REHABILITATION TIME, t RP REHABILITATION TIME, t R WITHOUT PREV. MAINT.  I t BRIDGE AGE, YEARS WITH PREV. MAINT.    [Frangopol, 2008]
  • 8. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 8 1. Concept (Clear Objectives) and Design 2. Optimisation and Cost-Benefit Analysis 3. Hardware 4. Software 5. Communication and Web Interface 6. Commissioning and Start Up 7. Reporting Structure 8. Periodic Reporting 9. Analysis and Expertise 10. Thresholds and Warning 11. Periodic Maintenance 12. System Upgrade SHM in Practice
  • 9. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 9 1. System Identification (SI) 2. Load Model Calibration 3. Identification of Load Pattern 4. Understanding of the cyclic Behavior 5. Find overloaded Vehicles 6. Assess extreme Events (EQ) 7. Define Condition (SHM) 8. Degradation Model 9. Find, Locate and Quantify Damage 10.Satisfy the Law and some more Objectives in Practice
  • 10. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 10 Complete Integrated Monitoring System Automated Data Acquisition Self Learning System Monitoring Input Sensor Sensor/Actuator System for Acoustic Monitoring ACTUAL SENSOR DATABASE EXTERNAL DATA KNOWLEDGE BASES HISTORY DATABASE ARTIFICIAL INTELLIGENCE GLOBAL DECISION SUPPORT Internet OPERATION PROCESSING PIPE DESIGN SYSTEM ENGINEERING MATERIAL TESTING LIFE CYCLE MANAGEMENT IAEA REGULATOR Not accessible part of the piping system LOCAL DECISION SUPPORT Sensor Damage Identification and localisation Cleaned Sensor Data Operation Modes Low Margin Other Scientific Use Warning Emergency Normal Prognosis Forensic Analysis
  • 11. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 11 Toxic Chemicals Platform 19.5m Chlorgas
  • 12. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 12 Concept of SHM system Decision Support System (DSS) 1 2 4 Crucial error-prone part of the pipe Piezo arrays for guided wave monitoring (local information) 3 Low-frequency node (passive) High-frequency nodes (active) High-frequency nodes (active) Acceleration sensors 1-4 for vibration monitoring (global information)
  • 13. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 13 a. Unbeschädigte Glocke Anregung Lineares Spektrum Glocke schwingt in Resonanz Sensor Amplitude Frequenz Mode 1 Mode 2 Mode 3 b. Schadhafte Glocke Anregung Nichtlineares Spektrum Glocke ändert Frequenzen und Amplituden Sensor Amplitude Frequenz Mode 1 Mode 2 Mode 3 BRIMOS Identification
  • 14. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 14 Guided wave based SHM Local excitation Guided wave propagation along the pipe wall Guided wave propagation in pipes
  • 15. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 15 Aug. 1st 2007 Avoidable by Monitoring ? Aug. 1st 1976
  • 16. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 16 I-35 Collapse (FHWA view Sept. 2008) | A gusset plate has been wrongly designed (1/2” instead of 1”) | Dead Load has been increased by 20% over the 40 years of life | During retrofit works a local pile of gravel (190 tons) has triggered the failure | Could Monitoring have helped?
  • 17. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 17 I-35 Bridge before collapse
  • 18. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 18 Critical Joint, Gusset Plate
  • 19. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 19 Retrofit work piling of gravel
  • 20. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 20 Forensic Study
  • 21. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 21 Joint Details
  • 22. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 22 Failure Model
  • 23. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 23 Monitoring retrofit works in Austria
  • 24. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 24 RISK BASED MANAGEMENT BRIMOS VCDECIS
  • 25. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 25 BRIMOS for Bridges
  • 26. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 26 Hardware for Health Monitoring
  • 27. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 27 Key Problem in Civil Engineering SHM Discrepancy in life time expectation Major Structures min. 100 years Monitoring Systems min. 3 years Wireless? An Illusion?
  • 28. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 28 1. Concept (Clear Objectives) and Design 2. Optimisation and Cost-Benefit Analysis 3. Hardware 4. Software 5. Communication and Web Interface 6. Commissioning and Start Up 7. Reporting Structure 8. Periodic Reporting 9. Analysis and Expertise 10. Thresholds and Warning 11. Periodic Maintenance 12. System Upgrade SHM in Practice
  • 29. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 29 ABA Permanent Monitoring since 1997 Sensor 1, Kanal 1, 2, 3 Sensor 2, Kanal 4, 5, 6 Sensor 3, Kanal 7, 8, 9 Trigger: Wind Speed  70 km/h
  • 30. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 30 Tragwerk Schornstein Frequenz Zeit acc001 0 25 50 75 100 125 150 175 200 225 250 275 300 325 350 375 1.5 1.6 1.7 1.8 1.9 2.0 2.1 2.2 2.3 2.4 2.5 2.6 2.7 2.8 2.9 3.0 3.1 mg 12 13 16 17 Frequenz Zeit Identification Wind triggered global modes 09.11.07 20.11.07 12-13 Hz 16-17 Hz Kanal_10 10.11 11.11 12.11 13.11 14.11 15.11 16.11 17.11 18.11 19.11 20.11 2007 45.0 47.5 50.0 52.5 55.0 57.5 60.0 62.5 65.0 67.5 70.0 72.5 75.0 77.5 km/h Measured Wind Speed 1 2 1 2
  • 31. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 31 Trend over the past 7 years 1 2 1 2 12 13 In Detail: 12-13 Hz 1. Hanger Mode Frequenz Zeit Frequenz Zeit
  • 32. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 32 Cracks from Fatigue and Overload
  • 33. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 33 Monitoring Campaign
  • 34. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 34 MONITORING CAMPAIGN Sensor Placement
  • 35. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 35 Steifigkeits-Verhältniswert BERGAUF vs BERGAB 0,32 0,42 0,52 0,62 0,72 0,82 0,92 1,02 1,12 1,22 0 10 20 30 40 50 60 70 Laufindex Diagonal-Streben BERGAUF_Lambda1^2/L^2....VollEingesp BERGAUF_Lambda2^2/L^2....EingespGelenk BERGAUF_Lambda3^2/L^2....NachgEingesp BERGAB_Lambda1^2/L^2....VollEingesp BERGAB_Lambda2^2/L^2....EingespGelenk BERGAB_Lambda3^2/L^2....NachgEingesp P atsch S chönberg EXPECTED RESULTS FROM CALCULATION Target Values
  • 36. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 36 RESULTS OF THE MEASUREMENTS Verlauf der Messwerte f1 24,5 29,5 34,5 39,5 44,5 49,5 54,5 59,5 Feld B | Feld I | Feld II | Feld III | Feld IV | Feld V Hz BERGAB BERGAUF Monitored Values
  • 37. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 37 AbweichungderMesswertef1vonden Erwartungwertenf1 -35 -30 -25 -20 -15 -10 -5 0 FeldB | FeldI | FeldII | FeldIII | FeldIV | FeldV % B42QV-N II6-12QV- IV 6QV-N V24QV-N V48QV- B6QV-N II56' QV-N II48' QV-N Comparison
  • 38. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 38 DMS_RFBB_o (...8) DMS_RFBB_mo (...1) DMS_RFBB_mu (...4) DMS_RFBB_mu (...4) DMS_RFBB_u (...6) DMS_RFBI_u (...5) DMS_RFBI_o (...7) DMS_RFBI_mo (...2) DMS_RFBI_mI (...9) DMS_RFBI_mB (...10) DMS_RFBI_mu (...3) DMS - Profil Sondermessung Mai 2007 (V30 QV-N und S) Sensor: Spider 8_1 CH... Nummerierung nach Reihenfolge der Montage Richtung Innsbruck (S) Richtung Brenner (N) Lage der Dehnmessstreifen: RFBB_o.... berer Anschluss RFBB_mo... Strebenmitte, Oberseite RFBB_mu... Strebenmitte, Unterseite RFBB_u.... Unterer Anschluss Richtungsfahrbahn Brenner, o RFB Brenner, RFB Brenner, RFB Brenner, RFBI_o... berer Anschluss RFBI_mo... Strebenmitte, Oberseite RFBI_mI... Strebenmitte, seitlich (Innsbruck) RFBI_mB... Strebenmitte, seitlich (Brenner) RFBI_mu... Strebenmitte Unterseite RFBI_u... Richtungsfahrbahn Innsbruck, o RFB Innsbruck, RFB Innsbruck, RFB Innsbruck, RFB Innsbruck, RFB Innsbruck, unterer Anschluss Stationierung des Profils: x = 621m (entspricht 36m von WL Schönberg) VERIFICATION by STRAIN GAGES Proof Test
  • 39. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 39 Truck Passage (Stress)
  • 40. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 40 Ende Feld V ZWEI LKWs Dyges-Zeit 09:40:25 Video-Zeit 09:47:11 v= 48,16 km/h; 44,93 km/h Dyges = 5,9721 mm ; 4,0974 mm => Scaling Factor = 0,749 ; 0,758 Dygeskal = 4,4731 mm ; 3,1058 mm Entspr. 35 t 22 t v-Klass 45-50 km/h; 40-45 km/h Corresponding LOAD MODEL Load Model Determination
  • 41. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 41 Rainflow Matrix Damage Matrix Life Time Prediction
  • 42. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 42 VERIFICATION of TEMPERATURE IMPACT Temperature Influence
  • 43. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 43 st_A_o_gesamt st_A_u_gesamt st_RFBB_a_gesamt st_RFBB_m_gesamt st_RFBB_o_gesamt st_RFBB_u_gesamt st_RFBI_a_gesamt st_RFBI_m_gesamt st_RFBI_o_gesamt st_RFBI_u_gesamt 24.5, 0h 24.5, 12h 25.5, 0h 25.5, 12h 26.5, 0h 26.5, 12h 27.5, 0h 27.5, 12h 2007 12 14 16 18 20 22 24 26 28 30 32 34 36 38 °C Daily TEMPERATURE Records St_RFBB_o St_RFBB_m St_RFBB_a St_RFBB_u St_RFBI_u St_RFBI_o St_RFBI_m St_RFBI_a L_RFBI L_RFBB St_A_u St_A_o Temperatur - Profil (bei Stütze V) Sondermessung Mai 2007 Richtung Innsbruck Richtung Brenner Stationierung des Profils: x = 576m (entspricht 81m von WL Schönberg) Typical Temp. Profile
  • 44. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 44 gesamt_durchbiegungen MQ2_InnenTemp_Pt100 Strahlungsleistung Luftfeuchte 23.5, 0h 23.5, 8h 23.5, 16h 24.5, 0h 24.5, 8h 24.5, 16h 25.5, 0h 25.5, 8h 25.5, 16h 26.5, 0h 26.5, 8h 2007 -10 0 10 mm 15.0 17.5 20.0 22.5 25.0 27.5 °C 0.00 0.25 0.50 0.75 1.00 kW/m^2 40 60 80 100 %rF VERIFICATION of RADIATION IMPACT Radiation Extreme
  • 45. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 45 Early Damage Detection | Damage Indicator by RDT | Problem of Repetition Hauptschnitt 3430 166 1 7 1 11 1 2 1 1 1 2 K1 K2 K3 2 K4 K5 5 3 1 7 2 5 VCDAMED VCE Damage Indicator
  • 46. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 46 Test Beam before testing
  • 47. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 47 Excitation Device (KUL)
  • 48. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 48 Cable Stressing
  • 49. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 49 Impact test on post tensioned beam 120.00 G kg   response trough frequency domain Impact Load constant
  • 50. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 50 Trend Development
  • 51. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 51 Variation of Damping over Time
  • 52. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 52 Damage Localization by Wavelet Analysis Wavelet Results
  • 53. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 53 Damage Indicator for Health Monitoring Energy Transfer
  • 54. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 54 Frequency Development sp02_214 sp02_221 sp02_223 sp02_225 sp02_227 sp02_228 sp02_230 0.0000 0.0964 0.1929 0.2893 0.3857 0.4821 0.5786 0.6750 0.7714 0.8679 0.9643 1.0607 1.1571 1.2536 1.3500 mV 0.000 0.909 1.818 2.727 3.636 4.545 5.455 6.364 7.273 8.182 9.091 10.000 Hz 03.04.03 08:56:01 Cable II & IV released Cable II, IV & III released Cable II, IV, III & VI released Cable II, IV, III, VI & V released Cable II released Full compression force Reinforced Beam
  • 55. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 55 Data Base driven Statistics
  • 56. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 56 A1 - Überführung Regau 1 BRIMOS 10.0
  • 57. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 57 Regau Cross Section 800 470 166 40 12 18
  • 58. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 58 Sensor Layout
  • 59. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 59 0.00 1.36 2.73 4.09 5.45 6.82 8.18 9.55 10.91 12.27 13.64 15.00 Hz ohne Last mit Last unter hoher Last Changing Spectral Characteristics green undamaged blue 1. Damage red strong Damage
  • 60. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 60 Artificial Damage
  • 61. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 61 Artificial Damage
  • 62. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 62 Demolition of the Structure
  • 63. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 63 Händischer Ausbau
  • 64. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 64 5 wire breaks at Cl 0.1%
  • 65. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 65 Corrosion of Wires
  • 66. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 66 Trend bei intakter Brücke
  • 67. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 67 Trend bei Schadensereignis
  • 68. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 68 S101 Artificial Damage Test 9. – 12. December 2008
  • 69. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 69 S101 Artificial Damage Test 9. – 12. December 2008
  • 70. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 70 SAFEPIPES: Fatigue Test VCE
  • 71. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 71 Experimental Verification MPA
  • 72. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 72 VCE Damage Detection Undamaged Structure
  • 73. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 73 VCE Damage Detection Undamaged Structure MIMOSA Project
  • 74. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 74 VCE Damage Detection Mode 19 Mode 5 Damaged Structure MIMOSA Project
  • 75. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 75 VCE Damage Detection Cascade 5 Cascade 19 Damaged Structure MIMOSA Project
  • 76. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 76 Failure [MPA Stuttgart] time modes Warning Structural Performance over Time Damaged Structure MIMOSA Project
  • 77. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 77 1. Concept (Clear Objectives) and Design 2. Optimisation and Cost-Benefit Analysis 3. Hardware 4. Software 5. Communication and Web Interface 6. Commissioning and Start Up 7. Reporting Structure 8. Periodic Reporting 9. Analysis and Expertise 10. Thresholds and Warning 11. Periodic Maintenance 12. System Upgrade SHM in Practice
  • 78. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 78 1. Concept (Clear Objectives) and Design 2. Optimisation and Cost-Benefit Analysis 3. Hardware 4. Software 5. Communication and Web Interface 6. Commissioning and Start Up 7. Reporting Structure 8. Periodic Reporting 9. Analysis and Expertise 10. Thresholds and Warning 11. Periodic Maintenance 12. System Upgrade SHM in Practice Important Issues
  • 79. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 79 1. Concept (Clear Objectives) and Design 2. Optimisation and Cost-Benefit Analysis 3. Hardware 4. Software 5. Communication and Web Interface 6. Commissioning and Start Up 7. Reporting Structure 8. Periodic Reporting 9. Analysis and Expertise 10. Thresholds and Warning 11. Periodic Maintenance 12. System Upgrade SHM in Practice Important Issues
  • 80. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 80 1. Concept (Clear Objectives) and Design 2. Optimisation and Cost-Benefit Analysis 3. Hardware 4. Software 5. Communication and Web Interface 6. Commissioning and Start Up 7. Reporting Structure 8. Periodic Reporting 9. Analysis and Expertise 10. Thresholds and Warning 11. Periodic Maintenance 12. System Upgrade SHM in Practice Important Issues
  • 81. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 81 1. Concept (Clear Objectives) and Design 2. Optimisation and Cost-Benefit Analysis 3. Hardware 4. Software 5. Communication and Web Interface 6. Commissioning and Start Up 7. Reporting Structure 8. Periodic Reporting 9. Analysis and Expertise 10. Thresholds and Warning 11. Periodic Maintenance 12. System Upgrade SHM in Practice Important Issues
  • 82. research bridges railways tunnelling monitoring technology management international Vienna Consulting Engineers Dynamic bridge behaviour based on periodic and permanent monitoring with BRIMOS® and Finite Element Analysis Measurement, Analysis and Interpretation of Results SHM Example: Colle Isarco Viaduct
  • 83. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 83 I ) SCOPE OF WORK II ) DYNAMIC SYSTEM IDENTIFICATION – 2007 III ) PROGRESSION OF MAINTENANCE CONDITION 2007-2008 IV ) SUMMERY AND EXPERTISE
  • 84. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 84 Scope of Work CW North - North Main structure North Main structure South CW North - South CW South - North CW South - South Carriageway North Carriageway South The investigation at the Colle Isarco Viaduct included three essential parts:  A detailed initial measurement campaign with BRIMOS® in the period of the 26th to the 30th of March in 2007.  Two permanent monitoring systems – one for every carriageway, 2007-2008  A second measurement campaign with BRIMOS® one year after the initial one, which was performed from the 3rd to the 7th of March in 2008.
  • 85. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 85 Dynamic system identification – FE model 1st bending mode – 1BT main span 2nd bending mode – 1BT main cantilever 4th bending mode – 2BT main cantilever 3rd bending mode – 1BT main hinged girder
  • 86. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 86 Sensor positions for the main structures Measurement based condition assessment 2007– main structures carriagway North carriageway South 1st bending mode 0.99 0.96 1BT main span 2nd bending mode 1.10 1.10 1BT main cantilever 3rd bending mode 3.83 3.89 1BT main hinged girder 4th bending mode 6.11 6.10 2BT main cantilever Eigenfrequency [Hz] Measurement campaign 2007 Eigenfrequencies of the main structures ANPSD (vertical direction) for all measurement files, 0-15 Hz; Carriageway North (left) and carriageway South (right) Dynamic System Identification – 2007
  • 87. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 87 time frequency time frequency NORD Station in m SUED -2,00 -2,00 -1,50 -1,50 -1,00 -1,00 -0,50 -0,50 0,00 0,00 0,50 0,50 1,00 1,00 1,50 1,50 2,00 2,00 0,00 50,00 100,00 150,00 200,00 250,00 300,00 350,00 400,00 450,00 500,90 NORTH SOUTH NORD Station in m SUED -2,00 -2,00 -1,50 -1,50 -1,00 -1,00 -0,50 -0,50 0,00 0,00 0,50 0,50 1,00 1,00 1,50 1,50 2,00 2,00 0,00 50,00 100,00 150,00 200,00 250,00 300,00 350,00 400,00 450,00 500,90 NORTH SOUTH NORD Station in m SUED -2,00 -2,00 -1,50 -1,50 -1,00 -1,00 -0,50 -0,50 0,00 0,00 0,50 0,50 1,00 1,00 1,50 1,50 0,00 50,00 100,00 150,00 200,00 250,00 300,00 350,00 400,00 450,00 500,90 NORTH SOUTH NORD Station in m SUED -2,00 -2,00 -1,50 -1,50 -1,00 -1,00 -0,50 -0,50 0,00 0,00 0,50 0,50 1,00 1,00 1,50 1,50 0,00 50,00 100,00 150,00 200,00 250,00 300,00 350,00 400,00 450,00 500,90 NORTH SOUTH NORD Station in m SUED -2,00 -2,00 -1,50 -1,50 -1,00 -1,00 -0,50 -0,50 0,00 0,00 0,50 0,50 1,00 1,00 1,50 1,50 2,00 2,00 0,00 50,00 100,00 150,00 200,00 250,00 300,00 350,00 400,00 450,00 500,90 NORTH SOUTH NORD Station in m SUED -2,00 -2,00 -1,50 -1,50 -1,00 -1,00 -0,50 -0,50 0,00 0,00 0,50 0,50 1,00 1,00 1,50 1,50 2,00 2,00 0,00 50,00 100,00 150,00 200,00 250,00 300,00 350,00 400,00 450,00 500,90 NORTH SOUTH NORD Station in m SUED -1,00 -1,00 -0,50 -0,50 0,00 0,00 0,50 0,50 1,00 1,00 1,50 1,50 2,00 2,00 2,50 2,50 0,00 50,00 100,00 150,00 200,00 250,00 300,00 350,00 400,00 450,00 500,90 NORTH SOUTH NORD Station in m SUED -1,00 -1,00 -0,50 -0,50 0,00 0,00 0,50 0,50 1,00 1,00 1,50 1,50 2,00 2,00 2,50 2,50 0,00 50,00 100,00 150,00 200,00 250,00 300,00 350,00 400,00 450,00 500,90 NORTH SOUTH Mode shape 1 – 0.99 Hz 1BT main span Mode shape 2 – 1.10 Hz 1BT main cantilever Mode shape 4 – 6.11 Hz 1BT main cantilever Mode shape 3 – 3.83 Hz 1BT main hinged girder Trend of stiffness in terms of time Carriageway North Carriageway South Dynamic System Identification – 2007
  • 88. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 88 Amplitude Frequenz 6.4 mm²/s² 64 mm²/s² 2000 mm²/s² 1.EF 2.EF 3.EF 4.EF 5.EF 6.EF 7.EF 8.EF 9.EF 10.EF 10000 1000 100 10 0.1 1 10 100 1000 I II III IV Amplitude Frequenz 10000 1000 100 10 0.1 1 10 100 1000 I II III IV 3.78 3.82 3.63 3.61 3.62 4.04 3.99 3.70 3.73 3.68 3.86 4.11 3.73 4.17 10.00 3.42 3.99 4.14 4.04 3.88 4.08 4.21 4.20 4.19 4.42 6.19 10.00 0.60 0.51 0.48 0.51 5.76 10.00 5.27 3.24 3.13 3.13 3.88 2.91 2.89 2.92 2.78 3.44 3.34 10.00 3.65 2.96 2.95 3.07 3.29 4.22 3.71 3.99 4.21 4.83 3.02 5.33 3.38 4.87 0 2 4 6 8 10 12 390 440 490 540 590 640 690 740 790 Station [m] Damping values [%] 7.62 7.16 9.95 5.32 7.69 8.54 8.78 9.00 9.06 9.49 10.00 0.99 0.93 0.96 6.30 10.00 8.05 7.69 7.91 7.88 7.83 10.00 3.49 3.47 3.39 3.38 4.32 2.23 4.30 6.61 10.00 10.00 4.82 4.90 0 2 4 6 8 10 12 390 440 490 540 590 640 690 740 790 Station [m] Damping values [%] Vibration Intensity Carriageway North Carriageway South Pattern of damping values Carriageway North Carriageway South Dynamic System Identification – 2007
  • 89. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 89 Sensor position northern part Measurement based condition assessment 2007– Northern and Southern part of the bridge Sensor position southern part CW North - North CW North - South CW South - North CW South - South Trend of stiffness in vertical direction, 0.2 – 25 Hz Dynamic System Identification – 2007
  • 90. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 90 Progression of maintenance condition 2007 – 2008 Main structures Structurs´relevant stiffness-pattern in the vertical dimension over the measurements´entire time period, represented by the reference sensor 0.2 - 7 Hz Carriageway North Northern part Carriageway South Northern part Carriageway North Southern part Carriageway South Southern part Dynamic System Identification – 2008
  • 91. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 91 Amplitude Frequenz 6.4 mm²/s² 64 mm²/s² 2000 mm²/s² 1.EF 2.EF 3.EF 4.EF 5.EF 6.EF 7.EF 8.EF 9.EF 10.EF 10000 1000 100 10 0.1 1 10 100 1000 I II III IV Amplitude Frequenz 10000 1000 100 10 0.1 1 10 100 1000 I II III IV Amplitude Frequenz 10000 1000 100 10 0.1 1 10 100 1000 I II III IV Amplitude Frequenz 6.4 mm²/s² 64 mm²/s² 2000 mm²/s² 1.EF 2.EF 3.EF 4.EF 5.EF 6.EF 7.EF 8.EF 9.EF 10.EF 10000 1000 100 10 0.1 1 10 100 1000 I II III IV 1.94 2.82 6.85 4.49 10 4.17 4.13 4.38 4.3 4.35 4.48 4.46 4.49 4.55 10 2.25 5.82 0.99 4.09 3.22 6.13 6.17 4.83 4.95 5.15 3.75 3.79 3.66 3.47 3.40 3.45 3.34 3.37 3.34 8.84 4.15 3.50 3.32 3.36 3.19 3.21 3.17 3.06 3.18 7.77 3.21 3.13 2.91 2.82 3.45 0 2 4 6 8 10 12 400 450 500 550 600 650 700 750 0.43 0.42 0.44 0.44 1.58 0.43 0.40 0.42 0.41 0.41 0.42 0.43 0.42 0.43 3.26 0.44 0.42 0.42 0.42 0.41 0.42 0.42 0.42 0.45 0.41 0.42 0.43 0.40 3.10 -0.47 -0.39 1.71 6.30 3.07 2.66 6.57 0.44 0.39 0.36 0.37 0.36 0.38 0.38 0.36 0.32 10.00 0.32 0.31 0.31 0.31 -1 1 3 5 7 9 11 400 450 500 550 600 650 700 750 800 8.61 8.98 8.38 8.07 0.54 9.44 9.09 8.81 7.68 9.27 8.84 9.53 8.63 9.15 10.00 5.06 3.97 3.60 8.51 8.68 8.48 5.72 5.89 5.76 5.80 0 2 4 6 8 10 12 400 450 500 550 600 650 700 750 800 0.86 0.87 0.78 0.82 1.82 7.45 7.57 5.56 5.85 6.41 6.66 6.46 6.50 6.55 9.31 10.00 6.81 6.85 6.35 6.75 6.55 6.96 6.99 7.14 7.00 0.65 0.66 0.62 0.64 0.66 0.66 0.66 0.66 0.65 0.68 10.00 0.71 0.68 0.67 0.64 0.67 0.63 0.62 0.63 0.76 10.00 0.65 0.60 0.57 0.62 0 2 4 6 8 10 12 400 450 500 550 600 650 700 750 800 Vibration Intensity and Damping Analysis - Main structures Carriageway North Northern part Carriageway South Northern part Southern part Southern part Pattern of damping values 1BT main span 1BT main cantilever Pattern of damping values 1BT main span 1BT main cantilever Dynamic System Identification – 2008
  • 92. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 92 Joint 1-2 1.1 Joint 2 - 2.2 0.6 Joint 2.2-3.1 1.0 Joint 3.1-3.2 1.6 Joint 3.2 - 4.1 1.3 Joint 4.1-4.2 1.0 Joint 4.2 - 5.1 1.5 Joint 5.1-5.2 0.8 Joint 5.2 - 6.1 1.2 Joint 6.1-6.2 0.7 on average 1.1 CW North - North Deviation of the Eigenfrequencies 2007 vs. 2008 [%] Joint 10.1 - 10.2 1.4 Joint 10.2 - 11.1 1.0 Joint 11.1 - 11.2 1.8 Joint 11.2 - 12.1 1.6 Joint 12.1 - 13 0.9 Joint 13 - 14 1.7 on average 1.4 CW North - South Deviation of the Eigenfrequencies 2007 vs. 2008 [%] Joint 1-2 1.4 Joint 2 - 2.2 1.2 Joint 2.2-3.1 0.9 Joint 3.1-3.2 1.8 Joint 3.2 - 4.1 0.9 Joint 4.1-4.2 1.5 Joint 4.2 - 5.1 1.2 Joint 5.1-5.2 1.6 Joint 5.2 - 6.1 0.6 Joint 6.1-6.2 0.9 on average 1.2 Deviation of the Eigenfrequencies 2007 vs. 2008 [%] CW South - North Joint 10.1 - 10.2 1.1 Joint 10.2 - 11.1 1.4 Joint 11.1 - 11.2 1.3 Joint 11.2 - 12.1 1.4 Joint 12.1 - 13 2.9 Joint 13 - 14 --- on average 1.6 Deviation of the Eigenfrequencies 2007 vs. 2008 [%] CW South - South 0 0.5 1 1.5 2 2.5 3 N O R T H E R N P A R T J O I N T 1 - 2 J O I N T 2 - 2 . 2 J O I N T 2 . 2 - 3 . 1 J O I N T 3 . 1 - 3 . 2 J O I N T 3 . 2 - 4 . 1 J O I N T 4 . 1 - 4 . 2 J O I N T 4 . 2 - 5 . 1 J O I N T 5 . 1 - 5 . 2 J O I N T 5 . 2 - 6 . 1 J O I N T 6 . 1 - 6 . 2 S O U T H E R N P A R T J O I N T 1 0 . 1 - 1 0 . 2 J O I N T 1 0 . 2 - 1 1 . 1 J O I N T 1 1 . 1 - 1 1 . 2 J O I N T 1 1 . 2 - 1 2 . 1 J O I N T 1 2 . 1 - 1 3 J O I N T 1 3 - 1 4 Joints Deviation [%] NORTHERN PART SOUTHERN PART Northern and Southern part of the bridge Overwiew of the measurement- configuration in 2008 and 2007 Deviation of the eigenfrequencies Dynamic System Identification – 2008
  • 93. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 93 Permanent Monitoring Ext. Epi-Sensor BRIMOS Recorder 6.4 16.4 26.4 6.5 16.5 26.5 5.6 15.6 25.6 5.7 15.7 25.7 4.8 14.8 24.8 2007 2.5 5.0 7.5 10.0 12.5 15.0 17.5 20.0 22.5 25.0 27.5 30.0 Ext. Epi-Sensor BRIMOS Recorder Sensor layout Trend of stiffness in terms of time (0.2-50 Hz), spectrum and temperature sequence over the whole measurement period in vertical direction (CW South) Dynamic System Identification – 2008
  • 94. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 94 Trend of stiffness in terms of time, spectra and temperature sequence over the whole measurement period in vertical direction (CW South) 0.75 – 1.25 Hz 1BT main span 1BT main cantilever 3.5 – 4.25 Hz 1BT main hinged girder 5.5 – 6.5 Hz 2BT main cantilever Dynamic System Identification – 2008
  • 95. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 95 Trend of stiffness in terms of time, spectra and temperature sequence over one singel day in detail - in vertical direction (CW South) 0.75 – 1.25 Hz 1BT main span 1BT main cantilever 3.5 – 4.25 Hz 1BT main hinged girder 5.5 – 6.5 Hz 2BT main cantilever 0.2 -50 Hz Dynamic System Identification – 2008
  • 96. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 96 temperature temperature_smoothed_1 temperature_smoothed_2 torsion_rec_south torsion_rec_south_smoothed_1 torsion_rec_south_smoothed_2 torsion_epi_south torsion_epi_south_smoothed_1 torsion_epi_south_smoothed_2 27.3 16.4 6.5 26.5 15.6 5.7 25.7 14.8 2007 5 10 15 20 25 30 °C -600 -500 -400 -300 -200 -100 0 mGrad Analysis of long-term torsion (environmental condition) Trend of torsion – recorder (blue) and epi-sensor (red) – versus trend of temperature (carriageway South) Dynamic System Identification – 2008
  • 97. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 97 The structure’s dynamic response reveals the bridge to be in good condition, but due to the design of the bridge a high sensitivity for dynamic vibrations is clearly visible. Prospectively the area of the main hinged girder will demand special attention. This is indicated by the following facts: In the trend cards of the carriageway South especially the eigenfrequencies of the main hinged girder show a wide variance. In the damping analysis particularly in the transition between the main cantilevers and the main hinged girders distinctly increased damping values occur. Based on the measurement in 2007 this concerns especially the carriageway South, whereas the results of the investigation in 2008 show increased values at the carriageway North. The analysis of vibration intensity reveals some values in the range of II at the carriageway North and even values in the range of III at the carriageway South. Because of the fact that the traffic was restricted during the measurement this refers to a high dynamic sensitivity of the structure. Summary and Expertise
  • 98. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 98 Those facts indicate a high energy dissipation in the area of the main hinged girder on the one hand and in the area of the junction between the hinged girder and the cantilever on the other hand. As a result this leads to an accelerated decrease of the viaduct’s service life in the long term. In respect of the static system this seems to be problematic because the Viaduct’s design does not show any redundancy. Therefore damages to load bearing parts can cause a sudden collapse of the system. Summary and Expertise
  • 99. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 99 JUDGEMENT According to BRIMOS classification the structure is rated as category B. This category represents „structures in good condition with local damages“.
  • 100. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 100  Immediate actions: NONE  Short-term actions: NONE  Mid-term actions: NONE  Long-term actions: Permanent monitoring with real- time data analysis and automatic alarming in the case of changes in the behaviour (existing system); Monitoring of the overall structural condition by periodic measurements with BRIMOS every six years This approach assures the determination and observation of slowly progressing processes in the structure, which lead to damage or to deterioration of the structure’s operational integrity. In this context the increased values of vibration intensity, the damping pattern as well as the broad distribution in the range of the main hinged girder’s eigenfrequencies have to be emphasised. RECOMMENDATIONS
  • 101. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 101 Standsicherheitsbeurteilungsblatt A PRODUCTOF VCE R Mastbezeichnung: Bergstrasse Mast 1 Maststandort : Stadt Bad Kreuznach GPS-Koordinaten: -/- Masttyp / Mastmaterial / Aufstellungsjahr : Lichtmast / Stahlbeton / - Lageskizze: Foto: Letzte Prüfung / Prüfer: -/- Aktuelle Prüfung / Prüfer: 19. 04. 2006/ DI Furtner Anmerkungen: Seitlich frei liegende Bewehrung Frequenzspektrum: Spektrum_Quer Spektrum_Längs 0 20 40 60 80 100 120 140 µg F1 Quer= 2.425 Hz 0 50 100 150 200 µg F1 Längs = 2.491 Hz 0 5 10 15 20 25 30 35 40 45 50 Hz Klassifizierung: Inspektion BRIMOS Nächste Prüfung: April 2009 Strukturdynamische Prüfung mit BRIMOS  Bretzenheimer Strasse Bergstrasse Mast 1 Mast 3 Mast 2 B A 90000 Lighting Poles
  • 102. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 102 1. Environmental Influences 2. Various Non Linearity 3. Cyclic Behavior 4. Elimination of Noise 5. Aleatory and epistemic Uncertainties 6. Data Management 7. Pattern Recognition 8. Cost – Benefit, LCC Aspects 9. Decision Support, Thresholds 10.Warning and Risk Management and, and Research Demand
  • 103. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 103 Conclusions | SHM of Bridges has become mature, but is still a challenge to Experts | New promising methodologies are emerging and should be used | There is still a gap in knowledge requiring further investigations and research | The FP7 IRIS Project will bring progress | The MIMOSA Project - Collaboration | Summer Academy and Tutorial Sept. 09
  • 104. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 104 IRIS Industrial Safety VCE Integrated European Industrial Risk Reduction System CP-IP 213968-2 Thank you for your attention
  • 105. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 105 IRIS Results | The project is led and driven by industry to consolidate and generate knowledge and technologies | Integration of new safety concepts related to technical, human, organizational and cultural aspects. | The partnership represents over 1 million workers. | The project integrates all aspects of industrial safety with some priority on saving human lives prior cost reductions and is particular underpinning relevant EU policies. | The project will have an eye on risks in the modern industrial processes. | It shall be embedded into the usual operational procedure in order to benefit from already available information.
  • 106. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 106 January February March April May June July August September October November December July August September October November December January February March April May June July August September October November December January February March April May June July August September October November December 2008 2009 2010 2011 Kick Off, Final IRIS GeneralAssembly Executive Board Scientific Board Advisory Group IRIS Conference Current Practice WS SP1 meeting SP2 meeting SP3 meeting SP4 meeting SP5 meeting SP6 meeting SP7 meeting SP8 meeting AnnualAssessment Financial Report Other IRIS Project 2008 – 2012
  • 107. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 107 Risk Management Project Management Natural Disasters Mayor Accidents Workers Safety Environmental Disasters Energy Production Fertilization Risk based Design and Operation SP6 SP1 SP2 SP3 SP4 SP5 SP8 1 year 2 year Project Schedule Sub-Projects 3 year Online Monitoring SP7 3,5 year Cross Coordination IRIS Project 2008 – 2012
  • 108. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 108 Disaster Impact Risk Factors Vulnerability - Social - Economic - Physical - Environmental Hazards - Geological - Hydrometerological - Biological - Technological - Environmental - Man made Knowledge Development - Information - Education & training - Research Political Commitment - International, regional, national, local levels - Institutional framework (governance) - policy development - legislation and codes - organizational development - Community actions Application of risk Reduction measures - Environmental management - Social and economic development practices - Technological measures - Physical and technical measures - land-use/urban planning - protection of critical facilities - Networking and partnerships Awareness Raising for change in behavior Recovery Early Warning On line Monitoring Decision support system IRIS Core Preparedness Emergency Management Risk identification & impact assessment Vulnerability/ capability analysis Hazard analysis & assessment The focus of disaster risk reduction in IRIS Socio-cultural IRIS Sustainable development context Political Economic Ecosystems / Environmental SP2 SP1 SP6 SP7 SP3 SP4 SP5 SP8 IRIS Project 2008 – 2012
  • 109. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 109 Risk Management Project Management Natural Disasters Mayor Accidents W orkers Safety Environmental Disasters Energy Production Cross Coordination Fertilization Risk based Design and Operation SP6 SP1 SP2 SP3 SP4 SP5 SP8 1 year 2 year Project Schedule Sub-Projects 3 year 4 year Online Monitoring SP7 T8-9 T8-8 T8-7 T8-5 T8-4 T8-3 T8-2 T8-1 T7-12 T7- 11 T7-10 T7-9 T7-8 T7-7 T7-6 T7-5 T7-4 T7-2 T7-1 T6-6 T5-4 T5-3 T5-1 T5-2 T4-4 T4-3 T4-2 T4-1 T3-6 T3-5 T3-4 T3-3 T3-2 T2-4 T3-1 T2-3 T2-1 T1-4 T1-2 T1-3 T1-1 T6-5 T6-4 T6-3 T6-1 T6-2 T2-2 T7-3 T8-6 IRIS Project 2008 – 2012
  • 110. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 110 0 50 100 150 200 250 300 350 400 450 0.000 0.002 0.004 0.006 0.008 Curvature in m-1 Moment in KN.m Run-1 scaled, 0.03g Run-1, 0.24g Run-1 scaled, 0.28g, acceptable PGA Run-1 scaled, 0.67g acceptable PGA IRIS Project 2008 – 2012
  • 111. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 111 IRIS Project 2008 – 2012
  • 112. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 112 PRE-CODE SEISMIC DESIGN LEVEL 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 0 0.2 0.4 0.6 0.8 1 ag [g] P(S) Slight Moderate Extensive Complete IRIS Project 2008 – 2012
  • 113. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 113 Challenges for IRIS (example SP7) | Data Integration | Data Handling and Formats | Intuitive Tools | Robust, low cost Hardware | Standards | Education
  • 114. University of Tokyo, 20. October 2008 Vienna Consulting Engineers SHM of Bridges Page 114 IRIS Project 2008 – 2012 Thank you for your attention