标量双曲型问题的不连续Galerkin离散化的熵稳定和保性质限制

IF 3.8 2区 数学 Q1 MATHEMATICS
D. Kuzmin
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引用次数: 15

摘要

摘要本文提出的方法弥补了非线性双曲型问题的熵稳定方法和保正不连续伽辽金方法之间的差距。分别使用基于熵条件和离散极大值原理的通量限制器来强制实现熵稳定性和可选地保留单元平均值的局部边界。利用rusanov型熵黏性约束分段线性DG近似的(有限)梯度产生的熵。熵稳定项的泰勒基表示表明,它以类似于斜率限制的方式惩罚解梯度,并且需要隐式处理以避免严重的时间步长限制。基于顶点的斜率限制器的可选应用限制了DG解被单元平均值的局部最大值和最小值所约束。对两个具有非线性非凸通量函数的标量二维测试问题进行了数值研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Entropy stabilization and property-preserving limiters for ℙ1 discontinuous Galerkin discretizations of scalar hyperbolic problems
Abstract The methodology proposed in this paper bridges the gap between entropy stable and positivity-preserving discontinuous Galerkin (DG) methods for nonlinear hyperbolic problems. The entropy stability property and, optionally, preservation of local bounds for cell averages are enforced using flux limiters based on entropy conditions and discrete maximum principles, respectively. Entropy production by the (limited) gradients of the piecewise-linear DG approximation is constrained using Rusanov-type entropy viscosity. The Taylor basis representation of the entropy stabilization term reveals that it penalizes the solution gradients in a manner similar to slope limiting and requires implicit treatment to avoid severe time step restrictions. The optional application of a vertex-based slope limiter constrains the DG solution to be bounded by local maxima and minima of the cell averages. Numerical studies are performed for two scalar two-dimensional test problems with nonlinear and nonconvex flux functions.
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来源期刊
CiteScore
5.90
自引率
3.30%
发文量
17
审稿时长
>12 weeks
期刊介绍: The Journal of Numerical Mathematics (formerly East-West Journal of Numerical Mathematics) contains high-quality papers featuring contemporary research in all areas of Numerical Mathematics. This includes the development, analysis, and implementation of new and innovative methods in Numerical Linear Algebra, Numerical Analysis, Optimal Control/Optimization, and Scientific Computing. The journal will also publish applications-oriented papers with significant mathematical content in computational fluid dynamics and other areas of computational engineering, finance, and life sciences.
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