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科研机构
湖南大学 [4]
内容类型
期刊论文 [4]
发表日期
2019 [4]
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发表日期:2019
专题:湖南大学
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Model order reduction accelerated Monte Carlo stochastic isogeometric method for the analysis of structures with high-dimensional and independent material uncertainties.
期刊论文
Computer Methods in Applied Mechanics & Engineering, 2019, 卷号: Vol.349, 页码: 266-284
作者:
Ding, Chensen
;
Deokar, Rohit R
;
Ding, Yanjun
;
Li, Guangyao
;
Cui, Xiangyang
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/13
High-dimensional and independent material uncertainties
Model order reduction via proper orthogonal decomposition
Monte Carlo simulation (MCS)
Stochastic isogeometric analysis
Model order reduction accelerated Monte Carlo stochastic isogeometric method: Analyzing structures considering high-dimensional and independent material uncertainties
期刊论文
Computer Methods in Applied Mechanics and Engineering, 2019
作者:
Chensen Ding
;
Rohit R. Deokar
;
Yanjun Ding
;
Guangyao Li
;
Xiangyang Cui
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/13
Stochastic
isogeometric
analysis
High-dimensional
and
independent
material
uncertainties
Model
order
reduction
via
proper
orthogonal
decomposition
Monte
Carlo
simulation
(MCS)
Model order reduction accelerated Monte Carlo stochastic isogeometric method for the analysis of structures with high-dimensional and independent material uncertainties
期刊论文
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2019, 卷号: Vol.349, 页码: 266-284
作者:
Ding, CS
;
Deokar, RR
;
Ding, YJ
;
Li, GY
;
Cui, XY
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2019/12/17
Stochastic isogeometric analysis
High-dimensional and independent material uncertainties
Model order reduction via proper orthogonal decomposition
Monte Carlo simulation (MCS)
Model order reduction accelerated Monte Carlo stochastic isogeometric method for the analysis of structures with high-dimensional and independent material uncertainties
期刊论文
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2019, 卷号: Vol.349, 页码: 266-284
作者:
Ding, CS
;
Deokar, RR
;
Ding, YJ
;
Li, GY
;
Cui, XY
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2019/12/17
Stochastic isogeometric analysis
High-dimensional and independent material uncertainties
Model order reduction via proper orthogonal decomposition
Monte Carlo simulation (MCS)
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