Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Yingshi Hu"'
Publikováno v:
IEEE Access, Vol 7, Pp 135457-135471 (2019)
Regional sensitivity on failure probability (RS-FP) can quantify the effect of the input region of interest (IRoI) on the failure probability and provide useful information for reliability based design optimization. Traditional methods for estimating
Externí odkaz:
https://doaj.org/article/4c1d4add74e94ae6ae8151a060d3ee84
Publikováno v:
Chinese Journal of Aeronautics. 35:294-308
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93378ea403bb4f446ef27adf4db27512
https://doi.org/10.1016/j.cja.2022.01.019
https://doi.org/10.1016/j.cja.2022.01.019
Publikováno v:
Structures. 35:373-387
Adaptive Kriging combined with Monte Carlo simulation (AK-MCS) is popularly used to estimate the failure probability, but its candidate sample pool (CSP) size should be large enough to guarantee the accuracy of failure probability estimation, especia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89c893f09bc542456f1ecfb585b16641
https://doi.org/10.1016/j.istruc.2021.10.090
https://doi.org/10.1016/j.istruc.2021.10.090
Publikováno v:
Applied Mathematical Modelling. 100:580-595
It is necessary to execute the safety lifetime analysis to ensure the safety service of the structure. At present, the existing safety lifetime analysis methods used different learning functions to construct a Kriging model in the time interval of in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55f9a30df0801b47dccd20207bb9adb4
https://doi.org/10.1016/j.apm.2021.08.019
https://doi.org/10.1016/j.apm.2021.08.019
Publikováno v:
Structural and Multidisciplinary Optimization. 64:2199-2212
For improving the efficiency of the time-dependent reliability analysis by the double-loop Kriging model combined with Monte Carlo simulation (DLK-MCS) and the single-loop one combined with MCS (SLK-MCS), this paper proposes a candidate sample pool (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14db819abd4e3f241bb9bd645dfeefee
https://doi.org/10.1007/s00158-021-02975-3
https://doi.org/10.1007/s00158-021-02975-3
Publikováno v:
Expert Systems with Applications. 219:119687
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74ead23a4ffe96a3645afefa640f9509
https://doi.org/10.1016/j.eswa.2023.119687
https://doi.org/10.1016/j.eswa.2023.119687
Publikováno v:
Structural and Multidisciplinary Optimization. 62:2881-2900
Most of the existing methods for estimating time-dependent failure credibility (TDFC) are based on optimization algorithms, which may result in a heavy burden on the computational cost and accuracy issue related to the local optimization. In order to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c830d9832cca0c7fb866eb8ef6a2f49
https://doi.org/10.1007/s00158-020-02694-1
https://doi.org/10.1007/s00158-020-02694-1
Publikováno v:
Eighth Symposium on Novel Photoelectronic Detection Technology and Applications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e0054d8956c94035727edcc2573ec51
https://doi.org/10.1117/12.2624667
https://doi.org/10.1117/12.2624667
Publikováno v:
Advances in Engineering Software. 173:103280
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::528403ad74b758c873bf5793e248a37b
https://doi.org/10.1016/j.advengsoft.2022.103280
https://doi.org/10.1016/j.advengsoft.2022.103280
Publikováno v:
Structural and Multidisciplinary Optimization. 60:2511-2529
In view of the lack of time-dependent reliability analysis model (TDRA) under fuzzy state, which is ubiquitous in engineering, a TDRA model under fuzzy state is proposed in this paper, followed by the corresponding safety lifetime model. To establish
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1105c30ecd8b9b2a0afa12c941e8de9
https://doi.org/10.1007/s00158-019-02343-2
https://doi.org/10.1007/s00158-019-02343-2