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Results 1-5 of 5 (Search time: 0.006 seconds).

NO Title, Author(s) (Publication Title, Volume Issue, Page, Issue Date)
1
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

2
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

3
Deep Generative Tread Pattern Design Framework for Efficient Conceptual Design

Lee, Mingyu; Park, Youngseo; Jo, Hwisang; Kim, Kibum; Lee, Seungkyu; Lee, Ikjin, JOURNAL OF MECHANICAL DESIGN, v.144, no.7, 2022-07

4
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

5
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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