Nonlinear structural finite element model updating and uncertainty quantification

Hamed Ebrahimian, Rodrigo Astroza, Joel P. Conte

Research output: Contribution to conferencePaper

1 Scopus citations

Abstract

This paper presents a framework for nonlinear finite element (FE) model updating, in which state-of-the-art nonlinear structural FE modeling and analysis techniques are combined with the maximum likelihood estimation method (MLE) to estimate time-invariant parameters governing the nonlinear hysteretic material constitutive models used in the FE model of the structure. The estimation uncertainties are evaluated based on the Cramer-Rao lower bound (CRLB) theorem. A proof-of-concept example, consisting of a cantilever steel column representing a bridge pier, is provided to verify the proposed nonlinear FE model updating framework.
Original languageAmerican English
DOIs
StatePublished - 1 Jan 2015
EventProceedings of SPIE - The International Society for Optical Engineering -
Duration: 1 Jan 2019 → …

Conference

ConferenceProceedings of SPIE - The International Society for Optical Engineering
Period1/01/19 → …

Keywords

  • Bayesian inference
  • Cramer-Rao lower bound
  • Gradientbased optimization
  • model updating
  • nonlinear finite element model
  • nonlinear system identification
  • parameter estimation
  • structural damage identification
  • structural health monitoring
  • uncertainty quantification

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