A latent-space Bayesian framework using multimodal variational autoencoders and GPU-parallel sequential Monte Carlo sampling enables efficient finite element model updating of building structures under seismic excitation with quantified uncertainties.
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Finite element model updating of building structures under seismic excitation: A parallelized latent space-based Bayesian framework
A latent-space Bayesian framework using multimodal variational autoencoders and GPU-parallel sequential Monte Carlo sampling enables efficient finite element model updating of building structures under seismic excitation with quantified uncertainties.