An effective approach based on reliability methods for high-dimensional Bayesian model updating of dynamical nonlinear structures

Research output: Contribution to journalConference articleResearchpeer review

Authors

  • D. J. Jerez
  • H. J. Jensen
  • M. Beer
  • C. Figueroa

Research Organisations

External Research Organisations

  • Universidad Tecnica Federico Santa Maria
  • Tongji University
  • University of Liverpool
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Details

Original languageEnglish
Article number192001
JournalJournal of Physics: Conference Series
Volume2647
Issue number19
Publication statusPublished - 2024
Event12th International Conference on Structural Dynamics, EURODYN 2023 - Delft, Netherlands
Duration: 2 Jul 20235 Jul 2023

Abstract

Bayesian model updating represents a sound formulation to incorporate the unavoidable uncertainties arising in the system identification of infrastructure assets. However, the treatment of cases involving a relatively large number of model parameters remains an open issue, especially for dynamic nonlinear structural models. In this context, an effective implementation of subset simulation is considered within the framework of Bayesian model updating with structural reliability methods (BUS). For improved numerical efficiency, a substructure coupling technique for dynamic analysis is implemented to develop a reduced-order model strategy. To assess the capabilities of the proposed method, an application example that considers a three-dimensional bridge model equipped with nonlinear devices is presented.

ASJC Scopus subject areas

Cite this

An effective approach based on reliability methods for high-dimensional Bayesian model updating of dynamical nonlinear structures. / Jerez, D. J.; Jensen, H. J.; Beer, M. et al.
In: Journal of Physics: Conference Series, Vol. 2647, No. 19, 192001, 2024.

Research output: Contribution to journalConference articleResearchpeer review

Jerez DJ, Jensen HJ, Beer M, Figueroa C. An effective approach based on reliability methods for high-dimensional Bayesian model updating of dynamical nonlinear structures. Journal of Physics: Conference Series. 2024;2647(19):192001. doi: 10.1088/1742-6596/2647/19/192001
Jerez, D. J. ; Jensen, H. J. ; Beer, M. et al. / An effective approach based on reliability methods for high-dimensional Bayesian model updating of dynamical nonlinear structures. In: Journal of Physics: Conference Series. 2024 ; Vol. 2647, No. 19.
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