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Taeyong Kim
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Year
Response prediction of nonlinear hysteretic systems by deep neural networks
T Kim, OS Kwon, J Song
Neural Networks 111, 1-10, 2019
922019
Probabilistic evaluation of seismic responses using deep learning method
T Kim, J Song, OS Kwon
Structural Safety 84, 101913, 2020
682020
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
482020
Generalized reliability importance measure (GRIM) using Gaussian mixture
T Kim, J Song
Reliability Engineering & System Safety 173, 105-115, 2018
292018
System-reliability-based disaster resilience analysis: Framework and applications to structural systems
S Lim, T Kim, J Song
Structural Safety 96, 102202, 2022
252022
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
212021
Machine-learning-based prediction of vortex-induced vibration in long-span bridges using limited information
S Kim, T Kim
Engineering Structures 266, 114551, 2022
152022
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
132023
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
82021
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
72023
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
42023
Development of generalized reliability importance measure (GRIM) using Gaussian mixture
T Kim, J Song
Reliability and Optimization of Structural Systems 147, 2018
42018
Deep learning‐based response spectrum analysis method for building structures
T Kim, OS Kwon, J Song
Earthquake Engineering & Structural Dynamics, 2024
12024
Development of a differential load cell negating inertial force
T Kim, MA Villacres, J Shim, OS Kwon, HK Kim
Measurement 223, 113789, 2023
12023
System‐reliability‐based disaster resilience analysis for structures considering aleatory uncertainties in external loads
S Yi, T Kim
Earthquake Engineering & Structural Dynamics 52 (15), 4939-4963, 2023
12023
Accelerated system-reliability-based disaster resilience analysis for structural systems
T Kim, S Yi
Structural Safety 109, 102479, 2024
2024
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
System-reliability-based Disaster Resilience Evaluation of Cable-stayed Bridge under Fire Hazard Using Reliability-Redundancy Analysis
S Lim, T Kim, S Yi, H Kim, J Song
Proceedings of the 20th working conference of the IFIP WG 7.5 on Reliability …, 2022
2022
Deep Learning-based Prediction of Seismic Responses and Losses of Nonlinear Structural Systems
김태용
서울대학교 대학원, 2021
2021
Regional Seismic Loss Assessment by Deep-Learning-based Prediction of Structural Responses
T Kim, J Song, OS Kwon
2019
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Articles 1–20