Showing results 1 to 6 of 6
Conservative reliability-based design optimization method with insufficient input data Cho H.; Choi K.K.; Gaul N.J.; Lee, IkJin; Lamb D.; Gorsich D., STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, v.54, no.6, pp.1609 - 1630, 2016-12 |
Design Sensitivity Method for Sampling-Based RBDO With Varying Standard Deviation Cho, Hyunkyoo; Choi, K. K; Lee, IkJin; Lamb, David, JOURNAL OF MECHANICAL DESIGN, v.138, no.1, 2016-01 |
Efficient sampling-based inverse reliability analysis combining Monte Carlo simulation (MCS) and feedforward neural network (FNN) Lee, Ungki; Lee, Ikjin, STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, v.65, no.1, 2022-01 |
Sampling-Based Stochastic Sensitivity Analysis Using Score Functions for RBDO Problems With Correlated Random Variables Lee, Ikjin; Choi, K. K.; Noh, Yoojeong; Zhao, Liang; Gorsich, David, JOURNAL OF MECHANICAL DESIGN, v.133, no.2, 2011-02 |
Shared autonomous electric vehicle design and operations under uncertainties: a reliability-based design optimization approach Lee, Ungki; Kang, Namwoo; Lee, Ikjin, STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, v.61, no.4, pp.1529 - 1545, 2020-04 |
크리깅 메타모델과 유전알고리즘을 이용한 신뢰도 계산 및 신뢰도기반 최적설계 조태민; 이병채, 대한기계학회논문집 A, v.33, no.11, pp.1195 - 1201, 2009-11 |
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