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Reliability assessment of cable-stayed bridges based on structural health monitoring techniques

  • School of Civil Engineering, Harbin Institute of Technology
  • School of Transportation Science and Engineering, Harbin Institute of Technology
  • Dalian University of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

This paper presents the reliability analysis approach of long-span cable-stayed bridges based on structural health monitoring (SHM) technology. First, the framework of structural reliability analysis is recognised based on SHM. The modelling approach of vehicle loads and environmental actions and the extreme value of responses based on SHM are proposed, and then models of vehicle and environmental actions and the extreme value of inner force are statistically obtained using the monitored data of a cable-stayed bridge. For the components without FBG strain sensors, the effects and models (extreme values) of dead load, unit temperature load, and wind load of the bridge can be calculated by the updated finite element model and monitored load models. The bearing capacity of a deteriorated structure can be obtained by the updated finite element model or durability analysis. The reliability index of the bridge's critical components (stiffening girder in this study) can be estimated by using a reliability analysis method, e.g. first order reliability method (FORM) based on the models of extreme value of response and ultimate capacity of the structure. Finally, the proposed approach is validated by a practical long-span cable-stayed bridge with the SHM system. In the example, reliability indices of the bridge's stiffening girder at the stage after repair and replacement after 18 years of operation, and the damaged stage are evaluated.

Original languageEnglish
Pages (from-to)829-845
Number of pages17
JournalStructure and Infrastructure Engineering
Volume8
Issue number9
DOIs
StatePublished - Sep 2012
Externally publishedYes

Keywords

  • finite element model
  • long span bridges
  • reliability estimation
  • structural health monitoring (SHM)

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