可压缩磁流体力学的隐式杂交间断Galerkin方法

C. Ciucă , P. Fernandez , A. Christophe , N.C. Nguyen , J. Peraire
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引用次数: 22

摘要

我们提出了理想和电阻可压缩磁流体力学(MHD)的杂交不连续伽辽金(HDG)方法。HDG方法是完全隐式的、高阶的精确方法,具有区别于其他不连续伽辽金方法的独特性。特别是,它们将全局耦合的未知量减少到元素边界上解的近似轨迹,从而导致比其他DG方法小得多的全局自由度。此外,我们开发了一种冲击捕获方法,通过在MHD方程中的物理粘度中适当添加人工体积粘度、分子粘度、热导率和电阻率来处理冲击。我们展示了HDG方法对理想MHD问题的最优收敛性,并验证了我们对磁重联问题的电阻实现。对于光滑问题,我们观察到使用广义拉格朗日乘子(GLM)公式可以将磁场发散的误差减少两个数量级。我们在许多测试案例中证明了我们的冲击捕捉方法的稳健性,并将我们的结果与其他MHD求解器进行了定性和定量比较。对于冲击问题,我们观察到,有效处理冲击波和无发散约束对于确保数值稳定性至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implicit hybridized discontinuous Galerkin methods for compressible magnetohydrodynamics

We present hybridized discontinuous Galerkin (HDG) methods for ideal and resistive compressible magnetohydrodynamics (MHD). The HDG methods are fully implicit, high-order accurate and endowed with a unique feature which distinguishes themselves from other discontinuous Galerkin (DG) methods. In particular, they reduce the globally coupled unknowns to the approximate trace of the solution on element boundaries, thereby resulting in considerably smaller global degrees of freedom than other DG methods. Furthermore, we develop a shock capturing method to deal with shocks by appropriately adding artificial bulk viscosity, molecular viscosity, thermal conductivity, and electric resistivity to the physical viscosities in the MHD equations. We show the optimal convergence of the HDG methods for ideal MHD problems and validate our resistive implementation for a magnetic reconnection problem. For smooth problems, we observe that employing a generalized Lagrange multiplier (GLM) formulation can reduce the errors in the divergence of the magnetic field by two orders of magnitude. We demonstrate the robustness of our shock capturing method on a number of test cases and compare our results, both qualitatively and quantitatively, with other MHD solvers. For shock problems, we observe that an effective treatment of both the shock wave and the divergence-free constraint is crucial to ensuring numerical stability.

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来源期刊
Journal of Computational Physics: X
Journal of Computational Physics: X Physics and Astronomy-Physics and Astronomy (miscellaneous)
CiteScore
6.10
自引率
0.00%
发文量
7
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