A globally divergence-free entropy stable nodal DG method for conservative ideal MHD equations
Yuchang Liu, Wei Guo, Yan Jiang, Mengping Zhang
TL;DR
The paper introduces a globally divergence-free entropy-stable nodal DG method (ES-GDF) for the conservative 2D ideal MHD equations, enabling direct discretization of the original conservation form while preserving $\nabla\cdot\mathbf B=0$ through interface constraint updates and a least-squares interior reconstruction. By combining Gauss–Lobatto SBP operators, an entropy-conservative flux inside elements, and an entropy-stable flux at interfaces, the scheme achieves discrete entropy stability under the divergence-free constraint; a novel limiter and an energy-correction step ensure robust shock-capturing without sacrificing the divergence-free property. A semi-discrete entropy analysis and a fully discrete ES-GDF framework (with SSP-RK4 time stepping) are developed, including a LS-based magnetic-field reconstruction to maintain divergence-freeness and a targeted limiter to control oscillations near shocks. Numerical experiments across smooth and discontinuous MHD benchmarks demonstrate high-order accuracy, effective entropy dissipation, and tight control of divergence, validating the method's robustness and potential for scalable, physically faithful simulations.
Abstract
We propose an arbitrarily high-order globally divergence-free entropy stable nodal discontinuous Galerkin (DG) method to directly solve the conservative form of the ideal MHD equations using appropriate quadrature rules. The method ensures a globally divergence-free magnetic field by updating it at interfaces with a constraint-preserving formulation [5] and employing a novel least-squares reconstruction technique. Leveraging this property, the semi-discrete nodal DG scheme is proven to be entropy stable. To handle the problems with strong shocks, we introduce a novel limiting strategy that suppresses unphysical oscillations while preserving the globally divergence-free property. Numerical experiments verify the accuracy and efficacy of our method.
