Accelerated system-reliability-based disaster resilience analysis for structural systems T Kim, S Yi Structural Safety 109, 102479, 2024 | | 2024 |
Bouc–Wen class models considering hysteresis mechanism of RC columns in nonlinear dynamic analysis S Oh, T Kim, J Song International Journal of Non-Linear Mechanics 148, 104263, 2023 | 4 | 2023 |
Clustering‐based adaptive ground motion selection algorithm for efficient estimation of structural fragilities T Kim, OS Kwon, J Song Earthquake Engineering & Structural Dynamics 50 (6), 1755-1776, 2021 | 21 | 2021 |
Deep learning based seismic response prediction of hysteretic systems having degradation and pinching T Kim, OS Kwon, J Song Earthquake Engineering & Structural Dynamics 52 (8), 2384-2406, 2023 | 14 | 2023 |
Deep Learning-based Prediction of Seismic Responses and Losses of Nonlinear Structural Systems 김태용 서울대학교 대학원, 2021 | | 2021 |
Deep learning‐based response spectrum analysis method for building structures T Kim, OS Kwon, J Song Earthquake Engineering & Structural Dynamics 53 (4), 1638-1655, 2024 | 1 | 2024 |
Deep neural network‐based regional seismic loss assessment considering correlation between EDP residuals of building structures C Kang, T Kim, OS Kwon, J Song Earthquake Engineering & Structural Dynamics 52 (11), 3414-3434, 2023 | 7 | 2023 |
Development of a differential load cell negating inertial force T Kim, MA Villacres, J Shim, OS Kwon, HK Kim Measurement 223, 113789, 2023 | 1 | 2023 |
Development of generalized reliability importance measure (GRIM) using Gaussian mixture T Kim, J Song Reliability and Optimization of Structural Systems 147, 2018 | 2 | 2018 |
Enhancing Seismic Fragility Analysis of Structural System: Developing Intensity Measure and Ground Motion Selection Algorithm 김태용 서울대학교 대학원, 2017 | | 2017 |
Generalized reliability importance measure (GRIM) using Gaussian mixture T Kim, J Song Reliability Engineering & System Safety 173, 105-115, 2018 | 29 | 2018 |
Generalized Reliability Importance Measure Using Gaussian Mixture T Kim, J Song | | 2017 |
Machine-learning-based prediction of vortex-induced vibration in long-span bridges using limited information S Kim, T Kim Engineering Structures 266, 114551, 2022 | 17 | 2022 |
Pre‐and post‐earthquake regional loss assessment using deep learning T Kim, J Song, OS Kwon Earthquake Engineering & Structural Dynamics 49 (7), 657-678, 2020 | 50 | 2020 |
Probabilistic evaluation of seismic responses using deep learning method T Kim, J Song, OS Kwon Structural Safety 84, 101913, 2020 | 71 | 2020 |
Regional Seismic Loss Assessment by Deep-Learning-based Prediction of Structural Responses T Kim, J Song, OS Kwon | | 2019 |
Response prediction of nonlinear hysteretic systems by deep neural networks T Kim, OS Kwon, J Song Neural Networks 111, 1-10, 2019 | 91 | 2019 |
Review of nonlinear modelling parameters and acceptance criteria in ASCE 41 for seismic evaluation and upgrading of steel structures in Canada T Kim, OS Kwon, J Acosta, R Fathi-Fazl, F Fazileh, Z Cai Canadian Journal of Civil Engineering 50 (8), 688-708, 2023 | | 2023 |
Seismic performance of a long-span cable-stayed bridge under spatially varying bidirectional Spectrum-compatible ground motions T Kim, OS Kwon, J Song Journal of Structural Engineering 147 (4), 04021015, 2021 | 8 | 2021 |
Seismic resilience assessment of urban communities using Bayesian network C Kang, T Kim | | |