Entropy-based Damage Detection for Three-dimensional Structures

Tzu-Kang Lin, T. C. Tseng, A. G. Laínez

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A three-dimensional structural health monitoring (SHM) system based on multiscale cross-sample entropy (MSCE) is proposed. Ambient vibration signals on the roof of a structure are measured, and vertical MSCE analysis is applied to evaluate the vertical damage location by analyzing individual signals on different floors. Results are quantified using the vertical damage index (DI). The damage orientation of damaged floors is then detected by analyzing the biaxial signals in four directions of each damaged floor through the planar MSCE analysis. Results are physically quantified using the planar DI. According to the results obtained from the evaluation of the proposed system on a three-dimensional structure, the damage condition and elevation were reliably diagnosed. Moreover, average accuracy rates of 93% (vertical) and 91% (planar) were achieved through the proposed DI method. Therefore, structural damage can be reliably detected after major earthquakes.

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
Pages1432-1441
Number of pages10
ISBN (Electronic)9781925553055
StatePublished - 1 Jan 2017
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
CountryAustralia
CityBrisbane
Period5/12/178/12/17

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