Practical uncertainty quantification analysis involving statistically dependent random variables D Lee, S Rahman Applied Mathematical Modelling 84, 324-356, 2020 | 18 | 2020 |
Robust design optimization under dependent random variables by a generalized polynomial chaos expansion D Lee, S Rahman Structural and Multidisciplinary Optimization 63 (5), 2425-2457, 2021 | 15 | 2021 |
Reliability-based design optimization under dependent random variables by a generalized polynomial chaos expansion D Lee, S Rahman Structural and multidisciplinary optimization 65 (1), 21, 2022 | 14 | 2022 |
High-dimensional stochastic design optimization under dependent random variables by a dimensionally decomposed generalized polynomial chaos expansion D Lee, S Rahman International journal for uncertainty quantification 13 (4), 2023 | 7 | 2023 |
Bi-fidelity conditional value-at-risk estimation by dimensionally decomposed generalized polynomial chaos expansion D Lee, B Kramer Structural and Multidisciplinary Optimization 66 (2), 33, 2023 | 6 | 2023 |
Robust design optimization by spline dimensional decomposition D Lee, R Jahanbin, S Rahman Probabilistic Engineering Mechanics 68, 103218, 2022 | 5 | 2022 |
Multifidelity conditional value-at-risk estimation by dimensionally decomposed generalized polynomial chaos-Kriging D Lee, B Kramer Reliability Engineering & System Safety 235, 109208, 2023 | 3 | 2023 |
Stochastic optimization for design under uncertainty with dependent random variables D Lee The University of Iowa, 2021 | 3 | 2021 |
A Parametric Study of Submarining for Obese Female Passengers using Morphed Human Body Models D Lee, I Lee, S Kim, T Kim, G Shaw IRCOBI Conference Proceedings, 2016 | 3 | 2016 |
Generalized polynomial chaos expansion by reanalysis using static condensation based on substructuring D Lee, S Chang, J Lee Applied Mathematics and Mechanics 45 (5), 819-836, 2024 | 1 | 2024 |
Global sensitivity analysis with limited data via sparsity-promoting D-MORPH regression: Application to char combustion D Lee, E Lavichant, B Kramer Journal of Computational Physics 511, 113116, 2024 | | 2024 |
Global sensitivity analysis in the limited data setting with application to char combustion D Lee, E Lavichant, B Kramer arXiv preprint arXiv:2307.07486, 2023 | | 2023 |
An approximate control variates approach to multifidelity distribution estimation R Han, B Kramer, D Lee, A Narayan, Y Xu arXiv preprint arXiv:2303.06422, 2023 | | 2023 |
A Generalized Polynomial Chaos Expansion for Stochastic Design Optimization under Dependent Random Variables 15th U.S. National Congress on Computational Mechanics, 2019 | | 2019 |
High-Dimensional Stochastic Sensitivity Analysis and Design Optimization for Dependent Random Variables 13th World Congress on Computational Mechanics, 2018 | | 2018 |
In Vivo Responses of Human Subjects under Low-velocity Collision Loadings S Kim, I Lee, D Lee, YK Cho, L Song, D Lim IRCOBI Conference Proceedings, 2016 | | 2016 |
Do we always include the concerned nodes in the condensed system? 12th US National Congress on Computational Mechanics, 2013 | | 2013 |
개선된 다단계 부구조화 기법을 이용한 대형구조물의 재해석 방법 이동진 서울대학교 대학원, 2013 | | 2013 |
Sizing optimization structural reanalysis technique with enhanced multi-level substructuring scheme 2nd International Conference on Computational Design in Engineering, 2012 | | 2012 |
MULTIFIDELITY RISK ASSESSMENTS FOR NONLINEAR SYSTEMS UNDER HIGH-DIMENSIONAL DEPENDENT RANDOM VARIABLES D Lee, B Kramer | | |