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Wireless Monitoring for Assessment of Concrete
Railway Bridges – Experiences from Field Tests.
Professor Dr. Björn Täljsten1
Dr. Cosmin Popescu1
Dr. Rasoul Nilforoush2
1Luleå University of Technology
2AFRY AB
Agenda
• Introduction
• Hypothesis
• Monitoring
• Evaluation
• Conclusions
The Abisko bridge
Luleå
Abisko
Stockholm
Narvik
The Abisko bridge is located in the North of Sweden, at the iron ore line. It’s a
three span prestressed trough bridge built 1978. Since construction the bridge
axle loads from the trains has increased from 140 kN to 325 kN and are now
aiming for 400 kN per axle.
Introduction
The iron ore line is an important part of the infrastructure for
transporting iron ore to Narvik (Norway) and to Luleå.
Abiskojåkka.
A train has 68 wagons, each with ca 100 ton iron ore
12 trains/day transport about 25 Mton/year
Maintenance cost ~ 45 k€/km, year
Introduction
The latest inspection (specific) showed cracks in the box girders, why it is a subject of interest to
investigate the cause and behaviour of the bridge in a greater extent. When the current axle load,
325 kN, was to be implemented a classification of the bridge was conducted. The classification
done in 2016, Bennitz (2016), showed that the bridge was able to handle the new axle load.
The cause of the cracks was at that point not completely understood.
Crack widths:
0.1 - 0.4mm unloaded
Hypotheses
Specific drivers for the Abisko bridge is:
o Cause of cracks
o Load carrying capacity (increased axle loads)
o Expected life
Hypotheses:
o The cracks are caused by temperature
o The cracks are caused early in the building stage due to normal forces of the prestressing cables
Methods:
o Monitoring
o NDT (Non destructive testing)
o Analysis/Modelling
Hypotheses:
o The cracks are caused by temperature
o The cracks are caused due to normal forces of the prestressing cables
Cracks
Cracks
Cracks
F
F
Hypotheses
Monitoring
A systems for wireless monitoring has been installed. It consists in general of a base
station, the hub, with an external antenna and nodes attached. The sensors are
connected to the nodes. The sensors in this project are
o Temperature
o Strain
o Deflection/crack opening
o Accelerometers
The base station is run on 220 V, but the nodes can either be run on battery or 12 V,
here we have chosen 12 V supply for the nodes and sensors.
In addition to the system above we have also installed a optical
monitoring systems for crack monitoring and are also investigating a fibre
optic system for crack sensing.
We have also used NDT methods to measure the placement of the
tendons and the depths of the cracks.
A general overview of the installed monitoring system is shown below. Sensors
have been installed in all three spans where cracks were found.
The following abbreviations have been used:
A: Accelerometer
N: Node
P: Power supply, node
S: Crack gauge
R: Antenna
T: Temperature sensors (thermo-element)
In addition we also have strain gauges, not shown in
the figures to the left
The nodes also have internal temperature sensors.
In total we have:
3 accelerometers:
10 LVDT (Crack gauges)
6 external temperature sensors
4 nodes
6 strain gauges
Monitoring
The base station and some of the sensors are shown in the figure below
Base station with 220 V power supply. Antenna placed outside. All data are
transferred from the nodes to the base-station. The data is then transferred
to the cloud via a 4g router. It is equipped with a back-up battery for 24
hours.
Crack sensor connected
to the node and
protected with a plastic
box.
Node to which the sensors are connected. The data are
also stored locally on the node.
Accelerometer
Strain gauge
Monitoring
Overview of the system in span 2.
The base station is in span 1.
Temperature sensors are placed in span 1 and through
the thickness of the webs. Typical results is shown
below.
We can notice some minor variation between west and
east side
Some results from temperature
Monitoring
Some results from LVDT (Span 2). Here we have several train passages over approximately 24
hours. The results indicate that the crack opens and closes during the passage. The maximum
opening is approximately 0,02 mm for LVDT5.
Corresponding strains over the crack is shown in the lower figure. These are measured in the same
crack as LVDT5 and LVDT 7 respectively. The strain levels are high, but they are not possible to
transfer into stress since they are placed over a crack.
Monitoring
Fibre optic sensing
ODiSI 6000 platform (Optical Distributed Sensor Interrogator)
Controller and interrogator Standoff cable and Remote module High-Definition fiber optic sensor
Monitoring
Non-Destructive Testing
The purpose with the NDT assessment is to reveal to actual placement of the steel
reinforcement and concrete cover and also, if possible, the prestressing cables. Here
also the strength of the concrete is measured. We have used:
o A smith hammer for strength
o Cover meter for steel reinforcement
o A GPR for ducts and tendons
o UPV for crack depth measurements
o FOS for detecting cracks
The results from the cover-meter shows that the concrete cover varies between 20 mm up to ca 70
mm. The mean distance of the reinforcement is 204 mm and the diameter 10 mm. In the figures
below the process for measurement and some results are shown.
The average result from the Smith hammer tests show that the concrete quality
varies between ca 50 MPa up to above 70 MPa.
It was possible to map the location of the ducts with GPR. We mapped
over a distance to find the horizontal location of the cable.
Section 17.5 m from east support
We also mapped the crack depth by UPV (ultrasound pulse velocity). The crack
depths varied between ca 30 mm up to ca 150 mm.
a a
2a 2a
Non-Destructive Testing
Modelling
The geometry of the bridge was drawn according to the drawings in BaTMan.
This was done using the format dwg which was later transformed to the IGES
format before being imported to the pre-processor GiD. Also, all the
reinforcement bars and tendons were drawn and transformed to the IGES
format before imported, approximately 14 500 reinforcement bars in total has
been incorporated in the model. However, we have not updated the model
with the actual data from the NDT and measurements.
Summary
o The wireless system works as intended but the amount of data created is very large. A
solution to this is to only record “important” data, i.e. crack widths over a given value.
o The battery back up did not work during the winter, the battery froze.
o Collecting data from NDT takes a long time due to hand held equipment. However, primary
data shows that the concrete cover varies between 30 mm up to 70 mm. GPR and UPV very
valuable to detect tendon location and crack depths.
o The FOS system used is very promising, we could detect cracks that can not be seen by the
eye. However, the system was very sensitive and we will replace the current fibres with a
more resistant one.
o Making the digital model has taken long time and we have just recently started to simulate
effects from temperature. A primary result is that temperature is not the cause of the cracks.
o The conclusion from the inspection/monitoring is that the bursting forces have created the
cracks. However, it is complicated to calculate actual forces since the prestressing force is
unknow.
D2 (A4) Björn Täljsten - Wireless monitoring for assessment of concrete railway bridges – Experiences from field tests.pptx

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D2 (A4) Björn Täljsten - Wireless monitoring for assessment of concrete railway bridges – Experiences from field tests.pptx

  • 1. Wireless Monitoring for Assessment of Concrete Railway Bridges – Experiences from Field Tests. Professor Dr. Björn Täljsten1 Dr. Cosmin Popescu1 Dr. Rasoul Nilforoush2 1Luleå University of Technology 2AFRY AB
  • 2. Agenda • Introduction • Hypothesis • Monitoring • Evaluation • Conclusions The Abisko bridge
  • 4. The Abisko bridge is located in the North of Sweden, at the iron ore line. It’s a three span prestressed trough bridge built 1978. Since construction the bridge axle loads from the trains has increased from 140 kN to 325 kN and are now aiming for 400 kN per axle. Introduction The iron ore line is an important part of the infrastructure for transporting iron ore to Narvik (Norway) and to Luleå.
  • 5. Abiskojåkka. A train has 68 wagons, each with ca 100 ton iron ore 12 trains/day transport about 25 Mton/year Maintenance cost ~ 45 k€/km, year
  • 6. Introduction The latest inspection (specific) showed cracks in the box girders, why it is a subject of interest to investigate the cause and behaviour of the bridge in a greater extent. When the current axle load, 325 kN, was to be implemented a classification of the bridge was conducted. The classification done in 2016, Bennitz (2016), showed that the bridge was able to handle the new axle load. The cause of the cracks was at that point not completely understood. Crack widths: 0.1 - 0.4mm unloaded
  • 7. Hypotheses Specific drivers for the Abisko bridge is: o Cause of cracks o Load carrying capacity (increased axle loads) o Expected life Hypotheses: o The cracks are caused by temperature o The cracks are caused early in the building stage due to normal forces of the prestressing cables Methods: o Monitoring o NDT (Non destructive testing) o Analysis/Modelling
  • 8. Hypotheses: o The cracks are caused by temperature o The cracks are caused due to normal forces of the prestressing cables Cracks Cracks Cracks F F Hypotheses
  • 9. Monitoring A systems for wireless monitoring has been installed. It consists in general of a base station, the hub, with an external antenna and nodes attached. The sensors are connected to the nodes. The sensors in this project are o Temperature o Strain o Deflection/crack opening o Accelerometers The base station is run on 220 V, but the nodes can either be run on battery or 12 V, here we have chosen 12 V supply for the nodes and sensors. In addition to the system above we have also installed a optical monitoring systems for crack monitoring and are also investigating a fibre optic system for crack sensing. We have also used NDT methods to measure the placement of the tendons and the depths of the cracks.
  • 10. A general overview of the installed monitoring system is shown below. Sensors have been installed in all three spans where cracks were found. The following abbreviations have been used: A: Accelerometer N: Node P: Power supply, node S: Crack gauge R: Antenna T: Temperature sensors (thermo-element) In addition we also have strain gauges, not shown in the figures to the left The nodes also have internal temperature sensors. In total we have: 3 accelerometers: 10 LVDT (Crack gauges) 6 external temperature sensors 4 nodes 6 strain gauges Monitoring
  • 11. The base station and some of the sensors are shown in the figure below Base station with 220 V power supply. Antenna placed outside. All data are transferred from the nodes to the base-station. The data is then transferred to the cloud via a 4g router. It is equipped with a back-up battery for 24 hours. Crack sensor connected to the node and protected with a plastic box. Node to which the sensors are connected. The data are also stored locally on the node. Accelerometer Strain gauge Monitoring
  • 12. Overview of the system in span 2. The base station is in span 1. Temperature sensors are placed in span 1 and through the thickness of the webs. Typical results is shown below. We can notice some minor variation between west and east side Some results from temperature Monitoring
  • 13. Some results from LVDT (Span 2). Here we have several train passages over approximately 24 hours. The results indicate that the crack opens and closes during the passage. The maximum opening is approximately 0,02 mm for LVDT5. Corresponding strains over the crack is shown in the lower figure. These are measured in the same crack as LVDT5 and LVDT 7 respectively. The strain levels are high, but they are not possible to transfer into stress since they are placed over a crack. Monitoring
  • 14. Fibre optic sensing ODiSI 6000 platform (Optical Distributed Sensor Interrogator) Controller and interrogator Standoff cable and Remote module High-Definition fiber optic sensor Monitoring
  • 15. Non-Destructive Testing The purpose with the NDT assessment is to reveal to actual placement of the steel reinforcement and concrete cover and also, if possible, the prestressing cables. Here also the strength of the concrete is measured. We have used: o A smith hammer for strength o Cover meter for steel reinforcement o A GPR for ducts and tendons o UPV for crack depth measurements o FOS for detecting cracks The results from the cover-meter shows that the concrete cover varies between 20 mm up to ca 70 mm. The mean distance of the reinforcement is 204 mm and the diameter 10 mm. In the figures below the process for measurement and some results are shown. The average result from the Smith hammer tests show that the concrete quality varies between ca 50 MPa up to above 70 MPa.
  • 16. It was possible to map the location of the ducts with GPR. We mapped over a distance to find the horizontal location of the cable. Section 17.5 m from east support We also mapped the crack depth by UPV (ultrasound pulse velocity). The crack depths varied between ca 30 mm up to ca 150 mm. a a 2a 2a Non-Destructive Testing
  • 17. Modelling The geometry of the bridge was drawn according to the drawings in BaTMan. This was done using the format dwg which was later transformed to the IGES format before being imported to the pre-processor GiD. Also, all the reinforcement bars and tendons were drawn and transformed to the IGES format before imported, approximately 14 500 reinforcement bars in total has been incorporated in the model. However, we have not updated the model with the actual data from the NDT and measurements.
  • 18. Summary o The wireless system works as intended but the amount of data created is very large. A solution to this is to only record “important” data, i.e. crack widths over a given value. o The battery back up did not work during the winter, the battery froze. o Collecting data from NDT takes a long time due to hand held equipment. However, primary data shows that the concrete cover varies between 30 mm up to 70 mm. GPR and UPV very valuable to detect tendon location and crack depths. o The FOS system used is very promising, we could detect cracks that can not be seen by the eye. However, the system was very sensitive and we will replace the current fibres with a more resistant one. o Making the digital model has taken long time and we have just recently started to simulate effects from temperature. A primary result is that temperature is not the cause of the cracks. o The conclusion from the inspection/monitoring is that the bursting forces have created the cracks. However, it is complicated to calculate actual forces since the prestressing force is unknow.