Validating strain gauge placement methods for structural health monitoring of large cable support bridge

Z. Y. Wu, K. Zhou, H. W. Shenton, M. J. Chajes

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

Abstract

The field measurements that provide engineers with adequate useful information are required for effectively monitoring and evaluating structural performance. Strain information generally shows powerful capacity for detecting the local structural property variations. Thus strain gauges are commonly used for monitoring and testing structural performance. Placing strain gauges is the key step towards a cost-effective monitoring or testing program. This paper presents the applications of strain gauge placement optimization for a large cable supported bridge to validate the methods that are developed for maximizing the strain contributions to the structural performance assessment. The sensor placement solutions are optimized using a genetic algorithm-based optimization solver, leading to a number of features that enrich the application flexibility. A case study has been carried out to demonstrate the effectiveness of the developed tool for real world applications.

Original languageEnglish
Title of host publicationSHMII 2017 - 8th International Conference on Structural Health Monitoring of Intelligent Infrastructure, Proceedings
EditorsSaeed Mahini, Saeed Mahini, Tommy Chan
PublisherInternational Society for Structural Health Monitoring of Intelligent Infrastructure, ISHMII
Pages414-422
Number of pages9
ISBN (Electronic)9781925553055
Publication statusPublished - 2017
Externally publishedYes
Event8th International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 2017 - Brisbane, Australia
Duration: 5 Dec 20178 Dec 2017

Publication series

NameSHMII 2017 - 8th International Conference on Structural Health Monitoring of Intelligent Infrastructure, Proceedings

Conference

Conference8th International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 2017
Country/TerritoryAustralia
CityBrisbane
Period5/12/178/12/17

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Artificial Intelligence
  • Building and Construction

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