Dynamic curvature based monitoring in a highway overpass

K. Kliewer, Branko Glisic

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

Abstract

With the growing challenge of aging infrastructure and the increasing cost for replacement and repair, structural health monitoring (SHM) offers an approach to address these challenges. It has been found in the literature that curvature and strain based methods may offer a more reliable approach to dynamic SHM compared to other methods such as acceleration and frequency based approaches. This research focuses on the application of a curvature based damage detection method, the normalized curvature ratio (NCR), to an in-service highway overpass. This method is widely applicable to beam like structures because it permits a structure to remain in-service, utilizes the service loads for monitoring, and is adaptable to a variety of sensor arrangements. Additionally, this research will focus on the use of long-gage fiber Bragg grating (FBG) sensors as they offer numerous benefits compared to other sensors currently available, such as low cost, multiplexing capabilities and the ability for both static and dynamic monitoring. Fiber optic sensors also allow for the instrumentation of large areas of a structure with long-gages sensors which helps enable global monitoring of the structure. Previous research applying this curvature based method in both small-scale laboratory testing and applied this method to a girder on an inservice highway overpass, demonstrating the feasibility of this method as a potential damage sensitive feature. This resaerch will focus on the applications of this method to girder 2 of the in-service highway overpass. Long term dynamic strain measurements from vibrations due to traffic loading on the structure have been measured through a series of FBG strain sensors instrumented on the structure. This research shows encouraging results and the potential for the NCR to be used as a simplistic metric for damage detection using FBG strain sensors.

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
Pages501-508
Number of pages8
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

    Kliewer, K., & Glisic, B. (2017). Dynamic curvature based monitoring in a highway overpass. In S. Mahini, S. Mahini, & T. Chan (Eds.), SHMII 2017 - 8th International Conference on Structural Health Monitoring of Intelligent Infrastructure, Proceedings (pp. 501-508). (SHMII 2017 - 8th International Conference on Structural Health Monitoring of Intelligent Infrastructure, Proceedings). International Society for Structural Health Monitoring of Intelligent Infrastructure, ISHMII.