Dynamic performance estimation of tall buildings based on wavelet analysis and output only identification

K. Ichimura, H. Kameda, A. Mita

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

Abstract

Structural health monitoring (SHM) has become an important technology due to numerous design and construction malpractice scandals which have occurred and the seismic damage of related structures. For the practical use of SHM, the ability to accurately estimate the state of structures is becoming very important. This study focuses on the determination of the modal parameters based on output only measurements. If an input is excited randomly, Random Decrement Technique (RDT) is applied to separate the random responses from the determination free vibrations. This algorithm is very simple, but RDT needs band-pass filtering procedure to decouple the multi modal component to single modal component. In order to overcome the weakness of RDT, the method which integrates RDT and wavelet transform (WT) is proposed. WT is used as time-frequency representation for the determination of modal parameters of structures and can decouple the modal components automatically.

Original languageEnglish
Title of host publicationProceedings of the 5th European Workshop - Structural Health Monitoring 2010
Pages919-924
Number of pages6
Publication statusPublished - 2010 Dec 1
Event5th European Workshop on Structural Health Monitoring 2010 - Naples, Italy
Duration: 2010 Jun 282010 Jul 4

Publication series

NameProceedings of the 5th European Workshop - Structural Health Monitoring 2010

Other

Other5th European Workshop on Structural Health Monitoring 2010
CountryItaly
CityNaples
Period10/6/2810/7/4

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ASJC Scopus subject areas

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

Cite this

Ichimura, K., Kameda, H., & Mita, A. (2010). Dynamic performance estimation of tall buildings based on wavelet analysis and output only identification. In Proceedings of the 5th European Workshop - Structural Health Monitoring 2010 (pp. 919-924). (Proceedings of the 5th European Workshop - Structural Health Monitoring 2010).