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A spectral method for stochastic fractional PDEs using dynamically-orthogonal/bi-orthogonal decomposition
期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2022, 卷号: 461, 页码: 17
作者:
Zhao, Yue
;
Mao, Zhiping
;
Guo, Ling
;
Tang, Yifa
;
Karniadakis, George Em
收藏
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浏览/下载:15/0
  |  
提交时间:2023/02/07
Uncertainty quantification
Anomalous transport
Quasi Monte Carlo simulation
Generalized polynomial chaos
Long-time integration
Poly-fractonomials
Reverse jet parameters study on aerodynamic thermal uncertainty of a blunt body
期刊论文
AEROSPACE SCIENCE AND TECHNOLOGY, 2020, 卷号: 107, 页码: 106260
作者:
Zhang W
;
Wang S
;
Wang Q
;
Ju SJ(鞠胜军)
;
Yan C
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2021/02/09
Aerodynamic thermal
Opposing jets
Parametric sensitivity analysis
Uncertainty quantification
Analysis of Variance
Non-Intrusive Polynomial Chaos
Efficient Stochastic Galerkin Methods for Maxwell's Equations with Random Inputs
期刊论文
JOURNAL OF SCIENTIFIC COMPUTING, 2019, 卷号: 80, 期号: 1, 页码: 248-267
作者:
Fang, Zhiwei
;
Li, Jichun
;
Tang, Tao
;
Zhou, Tao
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  |  
浏览/下载:42/0
  |  
提交时间:2020/01/10
Maxwell's equations
Finite element method
Random inputs
Polynomial chaos methods
Stochastic Galerkin
The Distribution and Uncertainty Quantification of Wind Profile in the Stochastic General Ekman Momentum Approximation Model
期刊论文
JOURNAL OF METEOROLOGICAL RESEARCH, 2019, 卷号: 33, 期号: 2, 页码: 336-348
作者:
Yan, Bing
;
Huang, Sixun
;
Feng, Jing
;
Wang, Yu
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  |  
浏览/下载:4/0
  |  
提交时间:2019/08/22
generalized polynomial chaos
Monte Carlo method
general Ekman momentum approximation model
Ekman spiral
Data-driven polynomial chaos expansions: A weighted least-square approximation
期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2019, 卷号: 381, 页码: 129-145
作者:
Guo, Ling
;
Liu, Yongle
;
Zhou, Tao
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  |  
浏览/下载:19/0
  |  
提交时间:2019/03/11
Uncertainty quantification
Data-driven polynomial chaos expansions
Weighted least-squares
Equilibrium measure
Adaptive multi-fidelity polynomial chaos approach to Bayesian inference in inverse problems
期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2019, 卷号: 381, 页码: 110-128
作者:
Yan, Liang
;
Zhou, Tao
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  |  
浏览/下载:108/0
  |  
提交时间:2019/03/11
Bayesian inverse problems
Multi-fidelity polynomial chaos
Surrogate modeling
Markov chain Monte Carlo
Multi-level multi-fidelity sparse polynomial chaos expansion based on Gaussian process regression
期刊论文
Computer Methods in Applied Mechanics and Engineering, 2019
作者:
Kai Cheng
;
Zhenzhou Lu
;
Ying Zhen
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浏览/下载:10/0
  |  
提交时间:2019/12/13
Multi-fidelity approach
Polynomial chaos expansion
Gaussian process
Autoregressive scheme
Predicting reinforcing bar development length using polynomial chaos expansions
期刊论文
Engineering Structures, 2019, 卷号: Vol.195, 页码: 524-535
作者:
Zaher Mundher Yaseen
;
Behrooz Keshtegar
;
Hyeon-Jong Hwang
;
Moncef L. Nehdi
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  |  
浏览/下载:120/0
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提交时间:2019/12/13
Polynomial chaos expansion
Model
Prediction
Rebar
Development length
Bond stress
Concrete cover
Compressive strength
Design code
Level‐set topology optimization for robust design of structures under hybrid uncertainties.
期刊论文
International Journal for Numerical Methods in Engineering, 2019, 卷号: Vol.117 No.5, 页码: 523-542
作者:
Zheng, Jing
;
Luo, Zhen
;
Jiang, Chao
;
Wu, Jinglai
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浏览/下载:0/0
  |  
提交时间:2019/12/13
hybrid uncertainties
hyperbolic Polynomial Chaos–Chebyshev Interval method
robust design
topology optimization
A time-variant extreme-value event evolution method for time-variant reliability analysis
期刊论文
Mechanical Systems and Signal Processing, 2019, 卷号: Vol.130, 页码: 333-348
作者:
M.H. Ping
;
X. Han
;
C. Jiang
;
X.Y. Xiao
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  |  
浏览/下载:4/0
  |  
提交时间:2019/12/17
Time-variant reliability
Extreme-value event evolution
Univariate dimension reduction method
Time-dependent polynomial chaos expansion method
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