New High-Order Numerical Methods for Hyperbolic Systems of Nonlinear PDEs with Uncertainties

Alina Chertock , Michael Herty , Arsen S. Iskhakov , Safa Janajra , Alexander Kurganov , Mária Lukáčová-Medvid’ová

Communications on Applied Mathematics and Computation ›› 2024, Vol. 6 ›› Issue (3) : 2011 -2044.

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Communications on Applied Mathematics and Computation ›› 2024, Vol. 6 ›› Issue (3) : 2011 -2044. DOI: 10.1007/s42967-024-00392-z
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New High-Order Numerical Methods for Hyperbolic Systems of Nonlinear PDEs with Uncertainties

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Abstract

In this paper, we develop new high-order numerical methods for hyperbolic systems of nonlinear partial differential equations (PDEs) with uncertainties. The new approach is realized in the semi-discrete finite-volume framework and is based on fifth-order weighted essentially non-oscillatory (WENO) interpolations in (multidimensional) random space combined with second-order piecewise linear reconstruction in physical space. Compared with spectral approximations in the random space, the presented methods are essentially non-oscillatory as they do not suffer from the Gibbs phenomenon while still achieving high-order accuracy. The new methods are tested on a number of numerical examples for both the Euler equations of gas dynamics and the Saint-Venant system of shallow-water equations. In the latter case, the methods are also proven to be well-balanced and positivity-preserving.

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Alina Chertock, Michael Herty, Arsen S. Iskhakov, Safa Janajra, Alexander Kurganov, Mária Lukáčová-Medvid’ová. New High-Order Numerical Methods for Hyperbolic Systems of Nonlinear PDEs with Uncertainties. Communications on Applied Mathematics and Computation, 2024, 6(3): 2011-2044 DOI:10.1007/s42967-024-00392-z

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Funding

Division of Mathematical Sciences(DMS-2208438)

Deutsche Forschungsgemeinschaft(20021702/GRK2326)

Germany’s Excellence Strategy EXC-2023 Internet of Production(390621612)

National Natural Science Foundation of China(12171226)

Guangdong Provincial Key Laboratory Of Computational Science And Material Design(2019B030301001)

Deutsche Forschungsgemeinschaft(SFB/TRR 146 Multiscale Simulation Methods for Soft Matter Systems)

LeRoy B. Martin, Jr. Distinguished Professorship Foundation

LeRoy B. Martin, Jr. Distinguished Professorship Foundation

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