Efficient Bayesian inference for finite element model updating with surrogate modeling techniques

Li, Qiang; Du, Xiuli; Ni, Pinghe; Han, Qiang; Xu, Kun; Yuan, Zhishen

doi:10.1007/s13349-024-00768-y

J Civil Struct Health Monit

2024

DOI: 10.1007/s13349-024-00768-y

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Efficient Bayesian inference for finite element model updating with surrogate modeling techniques

Qiang Li,

Xiuli Du,

Pinghe Ni

et al.

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Cited by 4 publications

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Efficient Bayesian inference for finite element model updating with surrogate modeling techniques

Cited by 4 publications

References 42 publications

Probabilistic parameter estimation and reliability assessment of nonlinear structures based on generative adversarial networks with Gaussian process regression

Probabilistic parameter estimation and reliability assessment of nonlinear structures based on generative adversarial networks with Gaussian process regression

A novel wireless IoT sensing system for cable force identification and monitoring

Improved hierarchical Bayesian modeling framework with arbitrary polynomial chaos for probabilistic model updating

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