Approximate well-balanced WENO finite difference schemes using a global-flux quadrature method with multi-step ODE integrator weights

In this work, high-order discrete well-balanced methods for one-dimensional hyperbolic systems of balance laws are proposed. We aim to construct a method whose discrete steady states correspond to solutions of arbitrary high-order ODE integrators. However, this property is embedded directly into the scheme, eliminating the need to apply the ODE integrator explicitly to solve the local Cauchy problem . To achieve this, we employ a WENO finite difference framework and apply WENO reconstruction to a global flux assembled nodewise as the sum of the physical flux and a source primitive. The novel idea is to compute the source primitive using high-order multi-step ODE methods applied on the finite difference grid. This approach provides a locally well-balanced splitting of the source integral, with weights derived from the ODE integrator. By construction, the discrete solutions of the proposed schemes align with those of the underlying ODE integrator. The proposed methods employ WENO flux reconstructions of varying orders, combined with multi-step ODE methods of up to order 8, achieving steady-state accuracy determined solely by the ODE method’s consistency. Numerical experiments using scalar balance laws and shallow water equations confirm that the methods achieve optimal convergence for time-dependent solutions and significant error reduction for steady-state solutions.

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Publication Details

Journal
Computers & Fluids
Published
2025-04-28
DOI
https://doi.org/10.1016/j.compfluid.2025.106646
Citations
1
Primary Topic
Computational Fluid Dynamics and Aerodynamics
Type
article
Field-Weighted Citation Impact
1.33

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article

Approximate well-balanced WENO finite difference schemes using a global-flux quadrature method with multi-step ODE integrator weights

Carlos Parés, Μαρία Καζολέα, Mario Ricchiuto
1 citations
Computers & Fluids
Computational Fluid Dynamics and Aerodynamics
1.33
article

Approximate well-balanced WENO finite difference schemes using a global-flux quadrature method with multi-step ODE integrator weights

Carlos Parés, Μαρία Καζολέα, Mario Ricchiuto
article en
1 citations

Abstract

In this work, high-order discrete well-balanced methods for one-dimensional hyperbolic systems of balance laws are proposed. We aim to construct a method whose discrete steady states correspond to solutions of arbitrary high-order ODE integrators. However, this property is embedded directly into the scheme, eliminating the need to apply the ODE integrator explicitly to solve the local Cauchy problem . To achieve this, we employ a WENO finite difference framework and apply WENO reconstruction to a global flux assembled nodewise as the sum of the physical flux and a source primitive. The novel idea is to compute the source primitive using high-order multi-step ODE methods applied on the finite difference grid. This approach provides a locally well-balanced splitting of the source integral, with weights derived from the ODE integrator. By construction, the discrete solutions of the proposed schemes align with those of the underlying ODE integrator. The proposed methods employ WENO flux reconstructions of varying orders, combined with multi-step ODE methods of up to order 8, achieving steady-state accuracy determined solely by the ODE method’s consistency. Numerical experiments using scalar balance laws and shallow water equations confirm that the methods achieve optimal convergence for time-dependent solutions and significant error reduction for steady-state solutions.

Computers & FluidsVol. 296
Centre National de la Recherche Scientifique (FR), Institut national de recherche en sciences et technologies du numérique (FR), Université de Bordeaux (FR), Institut Polytechnique de Bordeaux (FR), Institut de Mathématiques de Bordeaux (FR), Universidad de Málaga (ES)
Université de Bordeaux, European Regional Development Fund, Agencia Estatal de Investigación
Openalex Percentile: Top 24%
Computational Fluid Dynamics and Aerodynamics
1.33
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