Localized damage detection of structures subject to multiple inputs using distance measure of autoregressive model

H. Zheng, Akira Mita, I. Yokoi

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

Abstract

In this paper, the distance measure of autoregressive (AR) model is seemed as damage indicator. Two distance measures are discussed: one is the cepstral distance, and the other is the Itakura distance. The distance measures of AR model have been successfully applied in image, speech and neurological signal processing applications. This research explores new applications of two distance measures for damage detection in civil engineering. A five-storey building model is used for performance verification. Verification simulations show efficiencies of both distance-based damage indicators when the excitations are mutually uncorrelated. However, the ability of damage indicators to damage localization is deteriorated when the multiple excitations are mutually correlated as there are strong correlations among them. In practice, the excitations acting on civil engineering structures are mutually dependent and correlated, such as wind and traffic loading or inertial forces induced by earthquake. To overcome this difficulty, a pre-whitening filter is applied to cancellation of correlations of excitations before calculating the damage indicators. To examine the proposed methodology, experiment data from a shake table test have been tested. It can be concluded from the results that, by using the pre-whitening filter, the damage identification ability of the proposed damage indicators improves significantly, especially for damage localization. The damage indicator increases monotonically with damage severity, which provides the potential to damage quantification.

Original languageEnglish
Title of host publicationProceedings of the 4th European Workshop on Structural Health Monitoring
Pages1129-1136
Number of pages8
Publication statusPublished - 2008
Event4th European Workshop on Structural Health Monitoring - Cracow, Poland
Duration: 2008 Jul 22008 Jul 4

Other

Other4th European Workshop on Structural Health Monitoring
CountryPoland
CityCracow
Period08/7/208/7/4

Fingerprint

Damage detection
Civil engineering
Earthquakes
Signal processing
Experiments

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Architecture
  • Safety, Risk, Reliability and Quality

Cite this

Zheng, H., Mita, A., & Yokoi, I. (2008). Localized damage detection of structures subject to multiple inputs using distance measure of autoregressive model. In Proceedings of the 4th European Workshop on Structural Health Monitoring (pp. 1129-1136)

Localized damage detection of structures subject to multiple inputs using distance measure of autoregressive model. / Zheng, H.; Mita, Akira; Yokoi, I.

Proceedings of the 4th European Workshop on Structural Health Monitoring. 2008. p. 1129-1136.

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

Zheng, H, Mita, A & Yokoi, I 2008, Localized damage detection of structures subject to multiple inputs using distance measure of autoregressive model. in Proceedings of the 4th European Workshop on Structural Health Monitoring. pp. 1129-1136, 4th European Workshop on Structural Health Monitoring, Cracow, Poland, 08/7/2.
Zheng H, Mita A, Yokoi I. Localized damage detection of structures subject to multiple inputs using distance measure of autoregressive model. In Proceedings of the 4th European Workshop on Structural Health Monitoring. 2008. p. 1129-1136
Zheng, H. ; Mita, Akira ; Yokoi, I. / Localized damage detection of structures subject to multiple inputs using distance measure of autoregressive model. Proceedings of the 4th European Workshop on Structural Health Monitoring. 2008. pp. 1129-1136
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