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Implementation of an adaptive meta-model for Bayesian finite element model updating in time domain

Author

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  • Jensen, H.A.
  • Esse, C.
  • Araya, V.
  • Papadimitriou, C.

Abstract

This work explores the feasibility of integrating an adaptive meta-model into a finite element model updating formulation using dynamic response data. A Bayesian model updating approach based on a stochastic simulation method is considered in the present formulation. Such approach is combined with a surrogate technique and an efficient model reduction technique. In particular, an adaptive surrogate model based on kriging interpolants and a model reduction technique based on substructure coupling are implemented. The integration of these techniques into the updating process reduces the computational effort to manageable levels allowing the solution of complex problems. The effectiveness of the proposed strategy is demonstrated with three finite element model updating applications.

Suggested Citation

  • Jensen, H.A. & Esse, C. & Araya, V. & Papadimitriou, C., 2017. "Implementation of an adaptive meta-model for Bayesian finite element model updating in time domain," Reliability Engineering and System Safety, Elsevier, vol. 160(C), pages 174-190.
    • Handle: RePEc:eee:reensy:v:160:y:2017:i:c:p:174-190
    DOI: 10.1016/j.ress.2016.12.005
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    References listed on IDEAS

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    1. Jensen, H.A. & Muñoz, A. & Papadimitriou, C. & Millas, E., 2016. "Model-reduction techniques for reliability-based design problems of complex structural systems," Reliability Engineering and System Safety, Elsevier, vol. 149(C), pages 204-217.
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    Cited by:

    1. Jerez, D.J. & Jensen, H.A. & Beer, M., 2022. "An effective implementation of reliability methods for Bayesian model updating of structural dynamic models with multiple uncertain parameters," Reliability Engineering and System Safety, Elsevier, vol. 225(C).
    2. Liu, Yushan & Li, Luyi & Chang, Zeming, 2023. "Efficient Bayesian model updating for dynamic systems," Reliability Engineering and System Safety, Elsevier, vol. 236(C).
    3. Jensen, H.A. & Mayorga, F. & Valdebenito, M. & Chen, J., 2020. "An effective parametric model reduction technique for uncertainty propagation analysis in structural dynamics," Reliability Engineering and System Safety, Elsevier, vol. 195(C).

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