A new invariant-domain-preserving framework for 1D PAMPA schemes with a provably IDP cell-average update and an unconditionally positivity-preserving point-value update via softplus/ReLU variable transformations.
Active flux methods for hyperbolic conservation laws -- flux vector splitting and bound-preservation
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abstract
The active flux (AF) method is a compact high-order finite volume method that simultaneously evolves cell averages and point values at cell interfaces. Within the method of lines framework, the existing Jacobian splitting-based point value update incorporates the upwind idea but suffers from a stagnation issue for nonlinear problems due to inaccurate estimation of the upwind direction, and also from a mesh alignment issue partially resulting from decoupled point value updates. This paper proposes to use flux vector splitting for the point value update, offering a natural and uniform remedy to those two issues. To improve robustness, this paper also develops bound-preserving (BP) AF methods for hyperbolic conservation laws. Two cases are considered: preservation of the maximum principle for the scalar case, and preservation of positive density and pressure for the compressible Euler equations. The update of the cell average is rewritten as a convex combination of the original high-order fluxes and robust low-order (local Lax-Friedrichs or Rusanov) fluxes, and the desired bounds are enforced by choosing the right amount of low-order fluxes. A similar blending strategy is used for the point value update. In addition, a shock sensor-based limiting is proposed to enhance the convex limiting for the cell average, which can suppress oscillations well. Several challenging tests are conducted to verify the robustness and effectiveness of the BP AF methods, including flow past a forward-facing step and high Mach number jets.
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A Novel and Simple Invariant-Domain-Preserving Framework for PAMPA Scheme: 1D Case
A new invariant-domain-preserving framework for 1D PAMPA schemes with a provably IDP cell-average update and an unconditionally positivity-preserving point-value update via softplus/ReLU variable transformations.