Nonlinear structural finite element model updating and uncertainty quantification

Hamed Ebrahimian, Rodrigo Astroza, Joel P. Conte

Resultado de la investigación: Contribución a una conferenciaArtículo

3 Citas (Scopus)

Resumen

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.
Idioma originalInglés estadounidense
DOI
EstadoPublicada - 1 ene. 2015
EventoProceedings of SPIE - The International Society for Optical Engineering -
Duración: 1 ene. 2019 → …

Conferencia

ConferenciaProceedings of SPIE - The International Society for Optical Engineering
Período1/01/19 → …

Palabras clave

  • 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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