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
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2
Motivation for Health Monitoring
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Typical Life Cycle of a Structure
BRIMOS
10.0
Global Level
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Failure
[MPA Stuttgart]
time
modes
Warning
Structural Performance over Time
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5
o
target
BRIDGE RELIABILITY PROFILE
TIME
PERFORMANCE
TR,1 TR,2
[Frangopol, 2008]
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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]
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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]
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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
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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
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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
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Toxic Chemicals
Platform
19.5m
Chlorgas
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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)
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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
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Guided wave based SHM
Local excitation
Guided wave propagation
along the pipe wall
Guided wave propagation in pipes
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Aug. 1st 2007
Avoidable by Monitoring ?
Aug.
1st
1976
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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?
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I-35 Bridge before collapse
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Critical Joint, Gusset Plate
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Retrofit work piling of gravel
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Forensic Study
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Joint Details
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Failure Model
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Monitoring retrofit works in Austria
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RISK BASED MANAGEMENT
BRIMOS
VCDECIS
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BRIMOS for Bridges
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Hardware for Health Monitoring
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Key Problem in Civil Engineering SHM
Discrepancy in life time expectation
Major Structures min. 100 years
Monitoring Systems min. 3 years
Wireless? An Illusion?
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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
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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
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Trend over the past 7 years
1 2 1 2
12 13
In Detail:
12-13 Hz
1. Hanger Mode
Frequenz
Zeit
Frequenz
Zeit
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Cracks from Fatigue and Overload
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Monitoring Campaign
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MONITORING CAMPAIGN
Sensor Placement
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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
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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
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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
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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
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Truck Passage (Stress)
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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
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Rainflow Matrix
Damage Matrix
Life Time Prediction
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VERIFICATION of TEMPERATURE IMPACT
Temperature Influence
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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
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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
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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
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Test Beam before testing
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Excitation Device (KUL)
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Cable Stressing
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49 Impact test on post tensioned beam
120.00
G kg
response trough frequency domain
Impact Load constant
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Trend Development
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Variation of Damping over Time
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52 Damage Localization by Wavelet Analysis
Wavelet Results
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Damage Indicator for Health Monitoring
Energy Transfer
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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
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Data Base driven Statistics
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A1 - Überführung Regau
1
BRIMOS
10.0
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Regau Cross Section
800
470
166
40
12
18
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Sensor Layout
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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
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Artificial Damage
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Artificial Damage
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Demolition of the Structure
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Händischer Ausbau
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5 wire breaks at Cl 0.1%
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Corrosion of Wires
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Trend bei intakter Brücke
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Trend bei Schadensereignis
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S101 Artificial Damage Test
9. – 12. December 2008
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S101 Artificial Damage Test
9. – 12. December 2008
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SAFEPIPES: Fatigue Test
VCE
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Experimental Verification MPA
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VCE Damage Detection
Undamaged Structure
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VCE Damage Detection
Undamaged Structure
MIMOSA Project
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VCE Damage Detection
Mode 19
Mode 5
Damaged Structure
MIMOSA Project
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VCE Damage Detection
Cascade 5
Cascade 19
Damaged Structure
MIMOSA Project
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Failure
[MPA Stuttgart]
time
modes
Warning
Structural Performance over Time
Damaged Structure
MIMOSA Project
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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
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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
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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
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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
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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
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I ) SCOPE OF WORK
II ) DYNAMIC SYSTEM IDENTIFICATION – 2007
III ) PROGRESSION OF MAINTENANCE CONDITION 2007-2008
IV ) SUMMERY AND EXPERTISE
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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.
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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JUDGEMENT
According to BRIMOS classification the
structure is rated as category B. This category
represents „structures in good condition with
local damages“.
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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
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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
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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
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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
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IRIS Industrial Safety
VCE
Integrated European Industrial
Risk Reduction System
CP-IP 213968-2
Thank you for your attention
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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.
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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
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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
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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
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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
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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
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IRIS Project 2008 – 2012
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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
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Challenges for IRIS (example SP7)
| Data Integration
| Data Handling and Formats
| Intuitive Tools
| Robust, low cost Hardware
| Standards
| Education
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IRIS Project 2008 – 2012
Thank you for your attention