Algorithmic Framework for Stochastic Galerkin Method

Jan Havelka; Jan Sýkora; Anna Kučerová

doi:10.4028/www.scientific.net/AMM.825.123

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 825Algorithmic Framework for Stochastic Galerkin...

Algorithmic Framework for Stochastic Galerkin Method

Abstract:

In this contribution we focus on the computational aspects for practical use of the uncertainty propagation in groundwater flow environment using stochastic finite element method based on generalized polynomial chaos (gPC), where the uncertain part is taking place only in the spatial distribution of the transport properties. In recent years, there has been a growing trend towards real world applications in computational mechanics, thus the reduction techniques have become very desirable. Our focus is on efficient Matlab implementation in terms of computational time and memory consumption without modifying the mathematical background.

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Periodical:

Applied Mechanics and Materials (Volume 825)

Pages:

123-128

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.825.123

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Online since:

February 2016

Authors:

Jan Havelka*, Jan Sýkora, Anna Kučerová

Keywords:

Generalized Polynomial Chaos, Groundwater Flow, Stochastic Finite Element Method, Uncertainty Propagation

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* - Corresponding Author

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