Output-only identification of civil structures using nonlinear finite element model updating

Hamed Ebrahimian, Rodrigo Astroza, Joel P. Conte

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

Abstract

This paper presents a novel approach for output-only nonlinear system identification of structures using data recorded during earthquake events. In this approach, state-of-the-art nonlinear structural FE modeling and analysis techniques are combined with Bayesian Inference method to estimate (i) time-invariant parameters governing the nonlinear hysteretic material constitutive models used in the FE model of the structure, and (ii) the time history of the earthquake ground motion. To validate the performance of the proposed framework, the simulated responses of a bridge pier to an earthquake ground motion is polluted with artificial output measurement noise and used to jointly estimate the unknown material parameters and the time history of the earthquake ground motion. This proof-of-concept example illustrates the succeßful performance of the proposed approach even in the presence of high measurement noise.

Original languageEnglish
Title of host publicationHealth Monitoring of Structural and Biological Systems 2015
EditorsTribikram Kundu
PublisherSPIE
ISBN (Electronic)9781628415414
DOIs
StatePublished - 2015
Externally publishedYes
EventHealth Monitoring of Structural and Biological Systems 2015 - San Diego, United States
Duration: 9 Mar 201512 Mar 2015

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume9438
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceHealth Monitoring of Structural and Biological Systems 2015
Country/TerritoryUnited States
CitySan Diego
Period9/03/1512/03/15

Bibliographical note

Publisher Copyright:
© 2015 SPIE.

Keywords

  • Bayesian inference
  • Blind identification
  • Civil structure
  • Damage identification
  • Finite element model updating
  • Health monitoring
  • Nonlinear finite element model
  • Nonlinear system
  • Nonlinear system identification
  • Output only estimation

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