On estimating the accuracy of monitoring methods using Bayesian error propagation technique

Daniele Zonta, Federico Bruschetta, Carlo Cappello, R. Zandonini, Matteo Pozzi, Ming Wang, B. Glisic, D. Inaudi, D. Posenato, Y. Zhao

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

6 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationSensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2014
PublisherSPIE
ISBN (Print)9780819499875
DOIs
StatePublished - Jan 1 2014
EventSensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2014 - San Diego, CA, United States
Duration: Mar 10 2014Mar 13 2014

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume9061
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Other

OtherSensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2014
CountryUnited States
CitySan Diego, CA
Period3/10/143/13/14

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Keywords

  • Bayesian inference
  • Cable-Stayed bridge
  • Elasto-magnetic sensors
  • Fiber optic sensors

Fingerprint Dive into the research topics of 'On estimating the accuracy of monitoring methods using Bayesian error propagation technique'. Together they form a unique fingerprint.

  • Cite this

    Zonta, D., Bruschetta, F., Cappello, C., Zandonini, R., Pozzi, M., Wang, M., Glisic, B., Inaudi, D., Posenato, D., & Zhao, Y. (2014). On estimating the accuracy of monitoring methods using Bayesian error propagation technique. In Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2014 [90612B] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 9061). SPIE. https://doi.org/10.1117/12.2046409