Development of site-specific live load models for bridge condition assessment based on Long-Term SHM Data

Yunxia Xia, Yiqing Ni

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review


To evaluate the bridge condition and optimize cost-effective bridge maintenance programs, the knowledge of site-specific live loads is nearly indispensable. Data collected by the structural heath monitoring (SHM) system provide valuable information to develop sitespecific live load models. The Tsing Ma Bridge (TMB) in Hong Kong, which was instrumented with a permanent SHM system after the completion of its construction, is taken as the testbed. Based on nine years of weigh-in-motion and strain data, as well as typical recordings of the close-circuit television video system, which was installed to monitor the traffic of the bridge, this paper studies the development of live load models for bridge condition assessment making full use of long-Term SHM data. The live load is modelled by a uniform distribution load and single concentrated load. Multilane factors and dynamic impact of vehicles are also considered. Models for bridge evaluation under both the serviceability limit state and ultimate limit state are developed. The TMB is a typical suspension bridge, not only because of its large scale, but also because of the extraordinarily heavy and busy traffic on it. Therefore, in addition to evaluating the condition of the TMB, the developed live load model can also serve as a reference for the design and condition assessment of other long-span bridges.
Original languageEnglish
Title of host publication8th European Workshop on Structural Health Monitoring, EWSHM 2016
Number of pages10
ISBN (Electronic)9781510827936
Publication statusPublished - 1 Jan 2016
Event8th European Workshop on Structural Health Monitoring, EWSHM 2016 - Bilbao, Spain
Duration: 5 Jul 20168 Jul 2016


Conference8th European Workshop on Structural Health Monitoring, EWSHM 2016


  • Bridge
  • Condition assessment
  • Live load model
  • Structural health monitoring

ASJC Scopus subject areas

  • Health Information Management
  • Computer Science Applications

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