Damage identification using temperature-driven SHM

M. Yarnold, B. Murphy, J. Reilly, Branko Glisic

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Temperature-driven structural health monitoring (SHM) of bridge structures has progressed over the past several years due to its advantages over other conventional forms of monitoring. The concept for temperature-driven evaluation utilizes thermal inputs as excitations to the structural system. Therefore, data acquisition of these excitations, along with the corresponding responses (e.g. strains or displacements), allows for identification of unique signatures (or baselines) of the structure. Some of the logistical advantages of temperature-driven SHM are the large measurement signal-to-noise ratios, minimal data storage and time synchronization requirements, and relatively inexpensive equipment. However, research has indicated the biggest advantage is the sensitivity of temperature-driven signatures to realistic structural changes, potentially as a result of damage. Recently, a long-span cantilever truss bridge has been instrumented with a temperature-driven monitoring system that includes localized temperature, strain, and displacement measurements. A numerical study of the structure is presented, which evaluates the sensitivity of the SHM system to realistic damage scenarios.

Original languageEnglish (US)
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
Pages569-577
Number of pages9
ISBN (Electronic)9781925553055
StatePublished - Jan 1 2017
Event8th International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 2017 - Brisbane, Australia
Duration: Dec 5 2017Dec 8 2017

Publication series

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

Other

Other8th International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 2017
CountryAustralia
CityBrisbane
Period12/5/1712/8/17

All Science Journal Classification (ASJC) codes

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

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  • Cite this

    Yarnold, M., Murphy, B., Reilly, J., & Glisic, B. (2017). Damage identification using temperature-driven SHM. In S. Mahini, S. Mahini, & T. Chan (Eds.), SHMII 2017 - 8th International Conference on Structural Health Monitoring of Intelligent Infrastructure, Proceedings (pp. 569-577). (SHMII 2017 - 8th International Conference on Structural Health Monitoring of Intelligent Infrastructure, Proceedings). International Society for Structural Health Monitoring of Intelligent Infrastructure, ISHMII.