Cost reduction of stochastic Galerkin method by adaptive identification of significant polynomial chaos bases for elliptic equations
Volume: 340, Pages: 54 - 69
Published: Oct 1, 2018
Abstract
One widely used and computationally efficient method for uncertainty quantification using spectral stochastic finite element is the stochastic Galerkin method. Here the solution is represented in polynomial chaos expansion, and the residual of the discretized governing equation is projected on the polynomial chaos bases. This results in a system of deterministic algebraic equations with the polynomials chaos coefficients as unknown. However, one...
Paper Details
Title
Cost reduction of stochastic Galerkin method by adaptive identification of significant polynomial chaos bases for elliptic equations
Published Date
Oct 1, 2018
Volume
340
Pages
54 - 69
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