Analysis of monitoring data from cable-stayed bridge using sensor fusion techniques

Daniele Zonta, Federico Bruschetta, Riccardo Zandonini, Matteo Pozzi, Ming Wang, Yang Zhao, Daniele Inaudi, Daniele Posenato, Branko Glisic

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

2 Citations (Scopus)

Abstract

This paper illustrates an application of Bayesian logic to monitoring data analysis and structural condition state inference. The case study is a 260 m long cable-stayed bridge spanning the Adige River 10 km north of the town of Trento, Italy. This is a statically indeterminate structure, having a composite steel-concrete deck, supported by 12 stay cables. Structural redundancy, possible relaxation losses and an as-built condition differing from design, suggest that long-term load redistribution between cables can be expected. To monitor load redistribution, the owner decided to install a monitoring system which combines built-on-site elasto-magnetic and fiber-optic sensors. In this note, we discuss a rational way to improve the accuracy of the load estimate from the EM sensors taking advantage of the FOS information. More specifically, we use a multi-sensor Bayesian data fusion approach which combines the information from the two sensing systems with the prior knowledge, including design information and the outcomes of laboratory calibration. Using the data acquired to date, we demonstrate that combining the two measurements allows a more accurate estimate of the cable load, to better than 50 kN. 

LanguageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
Volume8692
DOIs
Publication statusPublished - 19 Apr 2013
Event2013 SPIE Conference on Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2013 - San Diego, CA, United States
Duration: 10 Mar 201314 Mar 2013

Conference

Conference2013 SPIE Conference on Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2013
CountryUnited States
CitySan Diego, CA
Period10/03/1314/03/13

Fingerprint

Cable-stayed Bridge
Sensor Fusion
Cable stayed bridges
multisensor fusion
cables
Cables
Cable
Monitoring
Sensors
Redistribution
sensors
Steel
Fiber optic sensors
Data fusion
Fiber Optic Sensor
Redundancy
Data Fusion
redundancy
estimates
guy wires

Keywords

  • Bayesian inference
  • cable-stayed bridge
  • elasto-magnetic sensors
  • fiber optic sensors
  • sensor fusion

Cite this

Zonta, D., Bruschetta, F., Zandonini, R., Pozzi, M., Wang, M., Zhao, Y., ... Glisic, B. (2013). Analysis of monitoring data from cable-stayed bridge using sensor fusion techniques. In Proceedings of SPIE - The International Society for Optical Engineering (Vol. 8692). [869229] https://doi.org/10.1117/12.2014733
Zonta, Daniele ; Bruschetta, Federico ; Zandonini, Riccardo ; Pozzi, Matteo ; Wang, Ming ; Zhao, Yang ; Inaudi, Daniele ; Posenato, Daniele ; Glisic, Branko. / Analysis of monitoring data from cable-stayed bridge using sensor fusion techniques. Proceedings of SPIE - The International Society for Optical Engineering. Vol. 8692 2013.
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abstract = "This paper illustrates an application of Bayesian logic to monitoring data analysis and structural condition state inference. The case study is a 260 m long cable-stayed bridge spanning the Adige River 10 km north of the town of Trento, Italy. This is a statically indeterminate structure, having a composite steel-concrete deck, supported by 12 stay cables. Structural redundancy, possible relaxation losses and an as-built condition differing from design, suggest that long-term load redistribution between cables can be expected. To monitor load redistribution, the owner decided to install a monitoring system which combines built-on-site elasto-magnetic and fiber-optic sensors. In this note, we discuss a rational way to improve the accuracy of the load estimate from the EM sensors taking advantage of the FOS information. More specifically, we use a multi-sensor Bayesian data fusion approach which combines the information from the two sensing systems with the prior knowledge, including design information and the outcomes of laboratory calibration. Using the data acquired to date, we demonstrate that combining the two measurements allows a more accurate estimate of the cable load, to better than 50 kN. ",
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Zonta, D, Bruschetta, F, Zandonini, R, Pozzi, M, Wang, M, Zhao, Y, Inaudi, D, Posenato, D & Glisic, B 2013, Analysis of monitoring data from cable-stayed bridge using sensor fusion techniques. in Proceedings of SPIE - The International Society for Optical Engineering. vol. 8692, 869229, 2013 SPIE Conference on Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2013, San Diego, CA, United States, 10/03/13. https://doi.org/10.1117/12.2014733

Analysis of monitoring data from cable-stayed bridge using sensor fusion techniques. / Zonta, Daniele; Bruschetta, Federico; Zandonini, Riccardo; Pozzi, Matteo; Wang, Ming; Zhao, Yang; Inaudi, Daniele; Posenato, Daniele; Glisic, Branko.

Proceedings of SPIE - The International Society for Optical Engineering. Vol. 8692 2013. 869229.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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Zonta D, Bruschetta F, Zandonini R, Pozzi M, Wang M, Zhao Y et al. Analysis of monitoring data from cable-stayed bridge using sensor fusion techniques. In Proceedings of SPIE - The International Society for Optical Engineering. Vol. 8692. 2013. 869229 https://doi.org/10.1117/12.2014733