Static homotopy response analysis of structure with random variables of arbitrary distributions by minimizing stochastic residual error
出版年份 2023 全文链接
标题
Static homotopy response analysis of structure with random variables of arbitrary distributions by minimizing stochastic residual error
作者
关键词
-
出版物
COMPUTERS & STRUCTURES
Volume 288, Issue -, Pages 107153
出版商
Elsevier BV
发表日期
2023-09-05
DOI
10.1016/j.compstruc.2023.107153
参考文献
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- (2022) Hui Huo et al. COMPUTERS & STRUCTURES
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- (2021) Biswarup Bhattacharyya STRUCTURAL SAFETY
- Structural stochastic responses determination via a sample-based stochastic finite element method
- (2021) Zhibao Zheng et al. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
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- (2021) Zhifeng Wu et al. APPLIED MATHEMATICAL MODELLING
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- (2021) Rossella Laudani et al. APPLIED MATHEMATICAL MODELLING
- Iterative Polynomial Dimensional Decomposition approach towards solution of structural mechanics problems with material randomness
- (2021) Kamaljyoti Nath et al. PROBABILISTIC ENGINEERING MECHANICS
- Neumann enriched polynomial chaos approach for stochastic finite element problems
- (2021) S.E. Pryse et al. PROBABILISTIC ENGINEERING MECHANICS
- Uncertainty analysis in solid mechanics with uniform and triangular distributions using stochastic perturbation-based Finite Element Method
- (2021) Marcin Kamiński FINITE ELEMENTS IN ANALYSIS AND DESIGN
- A new stochastic isogeometric analysis method based on reduced basis vectors for engineering structures with random field uncertainties
- (2020) Zhenyu Liu et al. APPLIED MATHEMATICAL MODELLING
- Arbitrary polynomial chaos expansion method for uncertainty quantification and global sensitivity analysis in structural dynamics
- (2020) Hua-Ping Wan et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- A polynomial dimensional decomposition framework based on topology derivatives for stochastic topology sensitivity analysis of high-dimensional complex systems and a type of benchmark problems
- (2020) Xuchun Ren PROBABILISTIC ENGINEERING MECHANICS
- On the performance evaluation of stochastic finite elements in linear and nonlinear problems
- (2020) Nan Feng et al. COMPUTERS & STRUCTURES
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- (2020) Zhibao Zheng et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- An iterative polynomial chaos approach toward stochastic elastostatic structural analysis with non‐Gaussian randomness
- (2019) Kamaljyoti Nath et al. INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING
- Spectral stochastic isogeometric analysis of free vibration
- (2019) Keyan Li et al. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
- Spectral stochastic isogeometric analysis for linear stability analysis of plate
- (2019) Keyan Li et al. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
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- (2019) Bartłomiej Pokusiński et al. COMPUTERS & STRUCTURES
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- (2019) Pinghe Ni et al. OCEAN ENGINEERING
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- (2019) Yuan Feng et al. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
- Spectral stochastic isogeometric analysis of linear elasticity
- (2018) Keyan Li et al. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
- Stochastic meshfree method for elastic buckling analysis of columns
- (2018) Aman Gupta et al. COMPUTERS & STRUCTURES
- Isogeometric generalized n th order perturbation-based stochastic method for exact geometric modeling of (composite) structures: Static and dynamic analysis with random material parameters
- (2018) Chensen Ding et al. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
- An explicit method for simulating non-Gaussian and non-stationary stochastic processes by Karhunen-Loève and polynomial chaos expansion
- (2018) Hongzhe Dai et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- A new homotopy-based approach for structural stochastic analysis
- (2018) Heng Zhang et al. PROBABILISTIC ENGINEERING MECHANICS
- An iteration method for predicting static response of nonlinear structural systems with non-deterministic parameters
- (2018) Zheng Lv et al. APPLIED MATHEMATICAL MODELLING
- Homotopy approach for random eigenvalue problem
- (2017) Bin Huang et al. INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING
- Statistical Framework for Sensitivity Analysis of Structural Dynamic Characteristics
- (2017) Hua-Ping Wan et al. JOURNAL OF ENGINEERING MECHANICS
- Simulation of higher-order stochastic processes by spectral representation
- (2017) Michael D. Shields et al. PROBABILISTIC ENGINEERING MECHANICS
- Hybrid perturbation-Galerkin methods for structural reliability analysis
- (2017) Ye-Jun Li et al. PROBABILISTIC ENGINEERING MECHANICS
- Statistical Framework for Sensitivity Analysis of Structural Dynamic Characteristics
- (2017) Hua-Ping Wan et al. JOURNAL OF ENGINEERING MECHANICS
- Estimation of evolutionary spectra for simulation of non-stationary and non-Gaussian stochastic processes
- (2013) M.D. Shields et al. COMPUTERS & STRUCTURES
- Transformed perturbation stochastic finite element method for static response analysis of stochastic structures
- (2013) Baizhan Xia et al. FINITE ELEMENTS IN ANALYSIS AND DESIGN
- Potential problems with random parameters by the generalized perturbation-based stochastic finite element method
- (2010) Marcin Kamiński COMPUTERS & STRUCTURES
- Adaptive sparse polynomial chaos expansion based on least angle regression
- (2010) Géraud Blatman et al. JOURNAL OF COMPUTATIONAL PHYSICS
- An adaptive algorithm to build up sparse polynomial chaos expansions for stochastic finite element analysis
- (2009) Géraud Blatman et al. PROBABILISTIC ENGINEERING MECHANICS
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