Results 1-10 of 11 (Search time: 0.007 seconds).
NO | Title, Author(s) (Publication Title, Volume Issue, Page, Issue Date) |
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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 | |
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 | |
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 | |
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 | |
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 | |
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 | |
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 | |
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 | |
An expected uncertainty reduction of reliability: adaptive sampling convergence criterion for Kriging-based reliability analysis Kim, Minjik; Jung, Yongsu; Lee, Mingyu; Lee, Ikjin, STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, v.65, no.7, 2022-07 | |
A reanalysis-based multi-fidelity (RBMF) surrogate framework for efficient structural optimization Lee, Mingyu; Jung, Yongsu; Choi, Jaehoon; Lee, Ikjin, COMPUTERS & STRUCTURES, v.273, 2022-12 |
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