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Model order reduction accelerated Monte Carlo stochastic isogeometric method: Analyzing structures considering high-dimensional and independent material uncertainties
Chensen Ding; Rohit R. Deokar; Yanjun Ding; Guangyao Li; Xiangyang Cui; Kumar K. Tamma; Stéphane P.A. Bordas
刊名Computer Methods in Applied Mechanics and Engineering
2019
关键词Stochastic isogeometric analysis High-dimensional and independent material uncertainties Model order reduction via proper orthogonal decomposition Monte Carlo simulation (MCS)
ISSN号0045-7825
URL标识查看原文
公开日期[db:dc_date_available]
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/4616830
专题湖南大学
作者单位1.b Institute of Computational Engineering, University of Luxembourg, Maison du Nombre,
2.Avenue de la Fonte, 4364 Esch-sur-Alzette, Luxembourg a State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Changsha 410082, PR China
3.Department of Forensic Science, School of Basic Medical Sciences, Central South University, Changsha 410013, PR China
4.Department of Mechanical Engineering, University of Minnesota-Twin Cities, Minneapolis, MN 55455, United States f Institute of Mechanics and Advanced Materials, School of Engineering, Cardiff University, UK
5.Department of Medical Research, China Medical University Hospital, China Medical University, Taichung, Taiwan
推荐引用方式
GB/T 7714
Chensen Ding,Rohit R. Deokar,Yanjun Ding,et al. Model order reduction accelerated Monte Carlo stochastic isogeometric method: Analyzing structures considering high-dimensional and independent material uncertainties[J]. Computer Methods in Applied Mechanics and Engineering,2019.
APA Chensen Ding.,Rohit R. Deokar.,Yanjun Ding.,Guangyao Li.,Xiangyang Cui.,...&Stéphane P.A. Bordas.(2019).Model order reduction accelerated Monte Carlo stochastic isogeometric method: Analyzing structures considering high-dimensional and independent material uncertainties.Computer Methods in Applied Mechanics and Engineering.
MLA Chensen Ding,et al."Model order reduction accelerated Monte Carlo stochastic isogeometric method: Analyzing structures considering high-dimensional and independent material uncertainties".Computer Methods in Applied Mechanics and Engineering (2019).
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