Detection of seismic damage in buildings using time series analysis and pattern recognition

Oliver Richard De Lautour, Piotr Omenzetter

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

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Abstract

In seismically active regions, the ability to accurately and efficiently quantify seismic-induced damage to civil infrastructure is imperative. This study focuses on the use of time series analysis techniques in SHM. Autoregressive (AR) models were applied to the acceleration time histories, obtained by computer simulations, of a simple 3-storey building subjected to random ground motion. Damage in the structure was simulated by a reduction in lateral stiffness. The proposed method was shown to provide good damage estimations and to be unaffected by small amounts of noise and changes in operating conditions.
Original languageEnglish
Title of host publicationProceedings of the 4th World Conference on Structural Control and Monitoring
EditorsSmyth Johnson Erik
Place of PublicationSan Diego
PublisherInternational Association for Structural Control and Monitoring
Pages1-8
Number of pages8
ISBN (Print)0979496004, 9780979496004
DOIs
Publication statusPublished - 11 Jul 2006

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    De Lautour, O. R., & Omenzetter, P. (2006). Detection of seismic damage in buildings using time series analysis and pattern recognition. In S. J. Erik (Ed.), Proceedings of the 4th World Conference on Structural Control and Monitoring (pp. 1-8). International Association for Structural Control and Monitoring. https://doi.org/10.13140/2.1.2736.8001