5 papers
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…
Transfer Learning-Based Surrogate Modeling for Nonlinear Time-History Response Analysis of High-Fidelity Structural Models
Keiichi Ishikawa, Yuma Matsumoto, Taro Yaoyama +2
In a performance based earthquake engineering (PBEE) framework, nonlinear time-history response analysis (NLTHA) for numerous ground motions are required to assess the seismic risk…
Waveform-Based Probabilistic Seismic Hazard Analysis Using Ground-Motion Generative Models
Yuma Matsumoto, Taro Yaoyama, Sangwon Lee +2
In probabilistic seismic hazard analysis (PSHA), the exceedance probability of a ground-motion intensity measure (IM) is typically evaluated. However, in recent years, dynamic resp…
CrimEdit: Controllable Editing for Counterfactual Object Removal, Insertion, and Movement
Boseong Jeon, Junghyuk Lee, Jimin Park +4
Recent works on object removal and insertion have enhanced their performance by handling object effects such as shadows and reflections, using diffusion models trained on counterfa…
Data augmentation using diffusion models to enhance inverse Ising inference
Yechan Lim, Sangwon Lee, Junghyo Jo
Identifying model parameters from observed configurations poses a fundamental challenge in data science, especially with limited data. Recently, diffusion models have emerged as a…