Showing results 5 to 18 of 18
Confidence-Based Design Optimization for a More Conservative Optimum under Surrogate Model Uncertainty Caused by Gaussian Process Jung, Yongsu; Kang, Kyeonghwan; Cho, Hyunkyoo; Lee, Ikjin, JOURNAL OF MECHANICAL DESIGN, v.143, no.9, 2021-09 |
Deep Generative Design: Integration of Topology Optimization and Generative Models Oh, Sangeun; Jung, Yongsu; Kim, Seongsin; Lee, Ikjin; Kang, Namwoo, JOURNAL OF MECHANICAL DESIGN, v.141, no.11, 2019-11 |
Determination of sample size for input variables in RBDO through bi-objective confidence-based design optimization under input model uncertainty Jung, Yongsu; Cho, Hyunkyoo; Duan, Zunyi; Lee, Ikjin, STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, v.61, no.1, pp.253 - 266, 2020-01 |
Distribution estimation of Johnson-Cook parameters considering correlation in quasi-static state Choo, Jeonghwan; Jung, Yongsu; Jo, Hwisang; Kim, Juhaing; Lee, Ikjin, INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES, v.244, 2023-04 |
Intelligent initial point selection for MPP search in reliability-based design optimization Jung, Yongsu; Cho, Hyunkyoo; Lee, Ikjin, STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, v.62, no.4, pp.1809 - 1820, 2020-10 |
Modeling, analysis, and optimization under uncertainties: a review Acar, Erdem; Bayrak, Gamze; Jung, Yongsu; Lee, Ikjin; Ramu, Palaniappan; Ravichandran, Suja Shree, STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, v.64, no.11, pp.2909 - 2945, 2021-11 |
Modified augmented Lagrangian coordination and alternating direction method of multipliers with parallelization in non-hierarchical analytical target cascading Jung, Yongsu; Kang, Namwoo; Lee, Ikjin, STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, v.58, no.2, pp.555 - 573, 2018-08 |
MPP-based approximated DRM (ADRM) using simplified bivariate approximation with linear regression Jung, Yongsu; Cho, Hyunkyoo; Lee, Ikjin, STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, v.59, no.5, pp.1761 - 1773, 2019-05 |
Optimal design of experiments for optimization-based model calibration using Fisher information matrix Jung, Yongsu; Lee, Ikjin, RELIABILITY ENGINEERING & SYSTEM SAFETY, v.216, pp.107968, 2021-12 |
Optimization-based model calibration of marginal and joint output distributions utilizing analytical gradients Jo, Hwisang; Lee, Kyungeun; Lee, Mingyu; Jung, Yongsu; Lee, Ikjin, STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, v.63, no.6, pp.2853 - 2868, 2021-06 |
Probabilistic analytical target cascading using kernel density estimation for accurate uncertainty propagation Jung, Yongsu; Lee, Jongmin; Lee, Mingyu; Kang, Namwoo; Lee, Ikjin, STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, v.61, no.5, pp.2077 - 2095, 2020-05 |
Reliability measure approach for confidence-based design optimization under insufficient input data Jung, Yongsu; Cho, Hyunkyoo; Lee, Ikjin, STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION , v.60, no.5, pp.1967 - 1982, 2019-11 |
Statistical model calibration and design optimization under aleatory and epistemic uncertainty Jung, Yongsu; Jo, Hwisang; Choo, Jeonghwan; Lee, Ikjin, RELIABILITY ENGINEERING & SYSTEM SAFETY, v.222, 2022-06 |
Statistical model calibration of correlated unknown model variables through identifiability improvement Choo, Jeonghwan; Jung, Yongsu; Jo, Hwisang; Lee, Ikjin, Probabilistic Engineering Mechanics, v.77, pp.103670, 2024-07 |
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