3 papers
cs.LG2025
Constructing balanced datasets for predicting failure modes in structural systems under seismic hazards
Jungho Kim, Taeyong Kim
Accurate prediction of structural failure modes under seismic excitations is essential for seismic risk and resilience assessment. Traditional simulation-based approaches often res…
cs.LG2024
Deep learning-based modularized loading protocol for parameter estimation of Bouc-Wen class models
Sebin Oh, Junho Song, Taeyong Kim
This study proposes a modularized deep learning-based loading protocol for optimal parameter estimation of Bouc-Wen (BW) class models. The protocol consists of two key components:…
stat.AP2024
Accelerated System-Reliability-based Disaster Resilience Analysis for Structural Systems
Taeyong Kim, Sang-ri Yi
Resilience has emerged as a crucial concept for evaluating structural performance under disasters because of its ability to extend beyond traditional risk assessments, accounting f…