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stat.AP2026
Finite element model updating of building structures under seismic excitation: A parallelized latent space-based Bayesian framework
Taro Yaoyama, Sangwon Lee, Minoru Matsubara +3
Enhancing seismic fragility and risk assessment of nuclear power plants relies on accurate prediction of reactor building responses to seismic hazards, which can be further improve…
stat.AP2024
Latent Space-Based Likelihood Estimation Using a Single Observation for Bayesian Updating of a Nonlinear Hysteretic Model
Sangwon Lee, Taro Yaoyama, Yuma Matsumoto +2
This study presents a novel approach to quantifying uncertainties in Bayesian model updating, which is effective in sparse or single observations. Conventional uncertainty quantifi…
stat.AP2024
Latent Space-based Stochastic Model Updating
Sangwon Lee, Taro Yaoyama, Masaru Kitahara +1
Model updating of engineering systems inevitably involves handling both aleatory or inherent randomness and epistemic uncertainties or uncertainities arising from a lack of knowled…