Zobrazeno 1 - 10
of 54
pro vyhledávání: '"ZENG Xiaoshu"'
Autor:
Zeng, Xiaoshu, Geraci, Gianluca, Eldred, Michael S., Jakeman, John D., Gorodetsky, Alex A., Ghanem, Roger
Multifidelity uncertainty quantification (MF UQ) sampling approaches have been shown to significantly reduce the variance of statistical estimators while preserving the bias of the highest-fidelity model, provided that the low-fidelity models are wel
Externí odkaz:
http://arxiv.org/abs/2304.08644
Autor:
Zeng, Xiaoshu, Ghanem, Roger
Publikováno v:
Comput. Methods Appl. Mech. Engrg. 405 (2023) 115845
The present work addresses the issue of accurate stochastic approximations in high-dimensional parametric space using tools from uncertainty quantification (UQ). The basis adaptation method and its accelerated algorithm in polynomial chaos expansions
Externí odkaz:
http://arxiv.org/abs/2211.13420
Autor:
Zeng, Xiaoshu, Ghanem, Roger
Publikováno v:
In Computer Methods in Applied Mechanics and Engineering 1 January 2025 433 Part A
Publikováno v:
In Computer Methods in Applied Mechanics and Engineering 15 February 2025 435
Autor:
Zeng, Xiaoshu, Ghanem, Roger
Publikováno v:
In Computer Methods in Applied Mechanics and Engineering 15 February 2023 405
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In Journal of Sound and Vibration 24 November 2017 409:287-305
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In Journal of Materials Science & Technology May 2017 33(5):452-460