Sensor placement optimization for damage evaluation of bridges subject to ship collision

Y. L. Guo, Yiqing Ni, S. K. Chen

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

Abstract

Hundreds of ship-bridge collision accidents were reported around the world every year. Post-collision damage and condition assessment is of significant importance for decision making on if closure of the bridge to traffic is necessary and for planning the consequent bridge strengthening or retrofitting. An on-line structural health monitoring (SHM) systems makes it feasible to monitor the dynamic responses during ship collision and detect post-collision damage of the instrumented bridge using monitoring data. The damage information contained in the monitoring data, which is critical for damage detection, however is largely dependent on the sensor layout. In this paper, a sensor placement optimization (SPO) method targeting post-collision damage detection of bridges is proposed. The objective of the proposed method is to select the optimal sensor set so that the measured data are most informative for damage detection. The information entropy is used as the optimization criterion. Considering all possible ship-bridge collision scenarios, the optimal sensor placement is obtained using a multi-objective optimization algorithm which simultaneously minimizes the information entropy index for each scenario. One advantage of the proposed method is that the optimal sensor placement is effective under all possible ship collision scenarios. Also, the method can identify the regions with high sensitivity with respect to the changes in damage monitoring model (DMM) parameters. Thirdly, the method can guarantee a redundancy of sensors in the most sensitive regions; in particular, it leaves a certain freedom to determine the critical elements in DMMs. The proposed method is applicable in practice to determining the sensor placement prior to field testing with intent to identify post-collision damage. The cable-stayed Ting Kau Bridge (TKB) in Hong Kong is employed to demonstrate the feasibility and effectiveness of the proposed method.
Original languageEnglish
Title of host publicationProceedings of the 1st International Postgraduate Conference on Infrastructure and Environment, IPCIE 2009
Pages543-550
Number of pages8
Publication statusPublished - 1 Dec 2009
Event1st International Postgraduate Conference on Infrastructure and Environment, IPCIE 2009 - Hong Kong, Hong Kong
Duration: 5 Jun 20096 Jun 2009

Conference

Conference1st International Postgraduate Conference on Infrastructure and Environment, IPCIE 2009
Country/TerritoryHong Kong
CityHong Kong
Period5/06/096/06/09

Keywords

  • Cable- stayed bridge
  • Damage detection
  • Information entropy
  • Sensitivity
  • Sensor placement optimization
  • Ship-bridge collision

ASJC Scopus subject areas

  • Building and Construction
  • Environmental Science(all)

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