Damage assessment of a building via a Bayesian probabilistic approach with earthquake responses

Chiung-Shiann Huang, J. W. Lin, W. C. Su

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

Abstract

This work modifies the Bayesian probabilistic approach of Sun and Betti (2015) to considerably save computation time on identifying the accurate stiffness and damping matrices of a building via a genetic algorithm by imposing the constrains that are established from the modal parameters identified from earthquake responses of the building via the wavelet transformation along with ARX model. The true damping model and bandwidth of the stiffness matrix of a real building are unknown a priori. This study numerically investigates the effects of using a wrong damping model and incorrect bandwidth of stiffness matrix on determining the stiffness parameters. These numerical studies are carried out for seven-story shear buildings with considering the effects of noise and incomplete measurements. Finally, the proposed procedure is applied to process the acceleration responses of two eight-story steel frames under shaking table tests.

Original languageEnglish
Title of host publicationProceedings of the International Offshore and Polar Engineering Conference, 2018
EditorsJin S. Chung, Beom-Soo Hyun, Dmitri Matskevitch, Alan M. Wang
PublisherInternational Society of Offshore and Polar Engineers
Pages483-491
Number of pages9
ISBN (Print)9781880653876
StatePublished - 1 Jan 2018
Event28th International Ocean and Polar Engineering Conference, 2018 - Sapporo, Japan
Duration: 10 Jun 201815 Jun 2018

Publication series

NameProceedings of the International Offshore and Polar Engineering Conference
ISSN (Print)1098-6189
ISSN (Electronic)1555-1792

Conference

Conference28th International Ocean and Polar Engineering Conference, 2018
CountryJapan
CitySapporo
Period10/06/1815/06/18

Keywords

  • Acceleration responses
  • Bayesian approach
  • Damage assessment
  • Model updating

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