Stochastic finite elements: a spectral approach
Stochastic finite elements: a spectral approach
Monomial cubature rules since “Stroud”: a compilation
Journal of Computational and Applied Mathematics
Monomial cubature rules since “Stroud”: a compilation—part 2
Journal of Computational and Applied Mathematics - Numerical evaluation of integrals
Response Surface Methodology: Process and Product in Optimization Using Designed Experiments
Response Surface Methodology: Process and Product in Optimization Using Designed Experiments
The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations
SIAM Journal on Scientific Computing
An encyclopaedia of cubature formulas
Journal of Complexity
Efficient stochastic structural analysis using Guyan reduction
Advances in Engineering Software
Weighted stochastic response surface method considering sample weights
Structural and Multidisciplinary Optimization
Finite element modelling and optimisation of net-shape metal forming processes with uncertainties
Computers and Structures
Probability density evolution analysis of engineering structures via cubature points
Computational Mechanics
Structural and Multidisciplinary Optimization
Sampling-based approach for design optimization in the presence of interval variables
Structural and Multidisciplinary Optimization
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This paper proposes an efficient method for estimating uncertainty propagation and identifying influence factors contributing to uncertainty. In general, the system is dominated by some of the main effects and lower-order interactions due to the sparsity-of-effect principle. Therefore, the construction of polynomial chaos expansion with points of monomial cubature rules is particularly attractive in dealing with large computational model. This approach has advantages over many others as it needs far fewer sampling points for multivariate models and all of the points can be sampled. The proposed approach is validated via two mathematical functions and an engineering problem.