Integration of multi-point influence line information for damage localization of bridge structures

Bridge structures have always been susceptible to various interferences during their service life, including corrosion, overload, fatigue, etc. The damage information collected by a single sensor is easily disturbed by the ambient environments, and a bridge damage localization method is proposed, which integrates the influence line (IL) information of multiple sensors. Initially, the strain IL of the measuring point is estimated based on the vehicle-induced strain response and moving load configurations. Subsequently, the bridge is divided into multiple sections, and a damage detection framework based on information fusion is established to obtain the basic probability of each section. Finally, according to multi-point ILs and multi-source information fusion rules, the basic probability matrix is calculated to evaluate the probability of damage for each section. The finite element model is utilized for numerical verification to simulate the damage scenarios under different noises, and the feasibility of the proposed method is verified with the laboratory tests on a scaled suspension bridge loaded by a two-axle vehicle. This study introduces innovative contributions in the following aspects: (1) Relative influence line area difference is used as the basic probability assignment (BPA); (2) The basic probability matrix is formed according to the sum of each BPA, which effectively alleviates the problem of evidence conflicts; (3) The location of the damage can be identified by the Grubbs criterion and maximum value.

• Record URL:
  • https://doi.org/10.1007/s13349-023-00739-9
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/21905452
• Supplemental Notes:
  • © Springer-Verlag GmbH Germany, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
• Authors:
  • Zhang, Chi
  • Zhu, Jinsong
  • 0000-0001-9003-0040
  • Zhou, Shuai
• Publication Date: 2024-2

Language

• English

Media Info

• Media Type: Web
• Pagination: pp 449-463
• Serial:
  • Journal of Civil Structural Health Monitoring
  • Volume: 14
  • Issue Number: 2
  • Publisher: Springer Verlag
  • ISSN: 2190-5452
  • EISSN: 2190-5479
  • Serial URL: http://link.springer.com/journal/13349

Subject/Index Terms

• TRT Terms: Bridges; Detection and identification; Fault location; Structural health monitoring
• Subject Areas: Bridges and other structures; Highways;

Filing Info

• Accession Number: 01911838
• Record Type: Publication
• Files: TRIS
• Created Date: Mar 14 2024 9:37AM