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Hyperbolicity-Preserving and Well-Balanced Stochastic Galerkin Method for Shallow Water Equations
SIAM Journal on Scientific Computing ( IF 3.1 ) Pub Date : 2021-03-11 , DOI: 10.1137/20m1360736
Dihan Dai , Yekaterina Epshteyn , Akil Narayan

SIAM Journal on Scientific Computing, Volume 43, Issue 2, Page A929-A952, January 2021.
A stochastic Galerkin formulation for a stochastic system of balanced or conservation laws may fail to preserve the hyperbolicity of the original system. In this work, we develop a hyperbolicity-preserving stochastic Galerkin formulation for the one-dimensional shallow water equations by carefully selecting the polynomial chaos expansion of the nonlinear $q^2/h$ term in terms of the polynomial chaos expansions of the conserved variables. In addition, in an arbitrary finite stochastic dimension, we establish a sufficient condition to guarantee the hyperbolicity of the stochastic Galerkin system through a finite number of conditions at stochastic quadrature points. Further, we develop a well-balanced central-upwind scheme for the stochastic shallow water model and derive the associated hyperbolicity-preserving CFL-type condition. The performance of the developed method is illustrated on a number of challenging numerical tests.


中文翻译:

浅水方程组的双曲保性和均衡的随机Galerkin方法

SIAM科学计算杂志,第43卷,第2期,第A929-A952页,2021年1月。
平衡或守恒定律的随机系统的随机Galerkin公式可能无法保留原始系统的双曲性。在这项工作中,我们通过根据守恒变量的多项式混沌展开式仔细选择非线性$ q ^ 2 / h $项的多项式混沌展开式,为一维浅水方程式开发了一个保持双曲率的随机Galerkin公式。 。另外,在任意有限的随机维度上,我们建立了一个充分的条件,以通过在随机正交点上的有限数量的条件来保证随机Galerkin系统的双曲性。此外,我们为随机浅水模型开发了一个平衡良好的中心迎风方案,并推导了相关的保双曲CFL类型条件。
更新日期:2021-03-12
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