Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Hyunkyoo Cho"'
Publikováno v:
Journal of Mechanical Design; Sep2023, Vol. 145 Issue 9, p1-12, 12p
Publikováno v:
Journal of Mechanical Science and Technology. 35:1487-1499
The effect of design variables on the performance measures in the entire design space can be evaluated by global sensitivity analysis (GSA). Therefore, a high-dimensional engineering problem can be transformed to a reduced-dimensional problem by asce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23ed50e2f1c293a3ccc852cf37c4081c
https://doi.org/10.1007/s12206-021-0314-9
https://doi.org/10.1007/s12206-021-0314-9
Publikováno v:
Structural and Multidisciplinary Optimization. 62:1809-1820
In this paper, intelligent initial point selection for performance measure approach (PMA) of reliability-based design optimization (RBDO) is proposed to improve computational efficiency of the most probable point (MPP) search. Unlike existing PMA alg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d263b2d96a68ae6f6e198c6840d647a
https://doi.org/10.1007/s00158-020-02577-5
https://doi.org/10.1007/s00158-020-02577-5
Publikováno v:
Structural and Multidisciplinary Optimization. 61:999-1010
To perform reliability-based design optimization (RBDO) in engineering systems, reliability analysis is required to calculate probability of failure (PF) for each performance function. Most probable point (MPP)–based dimensional reduction method (D
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::197f57705c0c6cd23fd7ce1c926db570
https://doi.org/10.1007/s00158-019-02403-7
https://doi.org/10.1007/s00158-019-02403-7
Publikováno v:
Structural and Multidisciplinary Optimization. 61:253-266
Reliability analysis accounting for only randomness of input variables often shows a significant error due to the lack of knowledge and insufficient data in the real world. Confidence of reliability indicates that the reliability has uncertainty caus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44a140e6f8feec675c3bb6e39370144a
https://doi.org/10.1007/s00158-019-02357-w
https://doi.org/10.1007/s00158-019-02357-w
Publikováno v:
Structural and Multidisciplinary Optimization. 60:1967-1982
In most of the reliability-based design optimization (RBDO) researches, accurate input statistical model has been assumed to concentrate on the variability of random variables; however, only a limited number of data are available to quantify the inpu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d49a414c328f8e7a278357348b4d5bf
https://doi.org/10.1007/s00158-019-02299-3
https://doi.org/10.1007/s00158-019-02299-3
Publikováno v:
Journal of Mechanical Science and Technology. 33:2211-2218
The flow in the draft tube of a Francis turbine is highly complex and unstable when the turbine operates far from its design point. To extend the Francis turbine operation range to meet the variable energy demand, a J-groove technology is introduced
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::264b317e23895d0e98abb9b10bbfc769
https://doi.org/10.1007/s12206-019-0423-x
https://doi.org/10.1007/s12206-019-0423-x
Autor:
Young-Seok Choi, Seung-Jun Kim, Jungwan Park, Jun-Won Suh, Ujjwal Shrestha, Zhenmu Chen, Hyunkyoo Cho, Young-Do Choi, Tae-Gyu Hwang, Kanghee Lee, Hyeon-Mo Yang, Won-Gu Joo, Jin-Hyuk Kim
Publikováno v:
The KSFM Journal of Fluid Machinery. 22:22-29
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fce0f4a903a1f600ba5cd09d4d4309a2
https://doi.org/10.5293/kfma.2019.22.2.022
https://doi.org/10.5293/kfma.2019.22.2.022
Publikováno v:
Structural and Multidisciplinary Optimization. 59:1761-1773
Conventional most probable point (MPP)-based dimension reduction methods (DRM) show better accuracy in reliability analysis than first-order reliability methods (FORM), and thus have been successfully applied to reliability-based design optimization
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b52b6c0e1f1ee774d97764e49e85bb7
https://doi.org/10.1007/s00158-018-2160-7
https://doi.org/10.1007/s00158-018-2160-7
Publikováno v:
Structural and Multidisciplinary Optimization. 59:1439-1454
In recent years, the importance of computationally efficient surrogate models has been emphasized as the use of high-fidelity simulation models increases. However, high-dimensional models require a lot of samples for surrogate modeling. To reduce the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cdf9e3b7c4f15a2a533681fd8e7f8a1f
https://doi.org/10.1007/s00158-018-2137-6
https://doi.org/10.1007/s00158-018-2137-6