Sensor fusion on structural monitoring data analysis: Application to a cable-stayed bridge

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

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

5 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 publicationDamage Assessment of Structures X
Pages812-819
Number of pages8
DOIs
StatePublished - Sep 16 2013
Event10th International Conference on Damage Assessment of Structures, DAMAS 2013 - Dublin, Ireland
Duration: Jul 8 2013Jul 10 2013

Publication series

NameKey Engineering Materials
Volume569-570
ISSN (Print)1013-9826

Other

Other10th International Conference on Damage Assessment of Structures, DAMAS 2013
CountryIreland
CityDublin
Period7/8/137/10/13

All Science Journal Classification (ASJC) codes

  • Materials Science(all)
  • Mechanics of Materials
  • Mechanical Engineering

Keywords

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

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  • Cite this

    Zonta, D., Bruschetta, F., Zandonini, R., Pozzi, M., Ming-Wang, Glisic, B., Inaudi, D., Posenato, D., & Yang-Zhao (2013). Sensor fusion on structural monitoring data analysis: Application to a cable-stayed bridge. In Damage Assessment of Structures X (pp. 812-819). (Key Engineering Materials; Vol. 569-570). https://doi.org/10.4028/www.scientific.net/KEM.569-570.812