Efficient High-Order Space-Angle-Energy Polytopic Discontinuous Galerkin Finite Element Methods for Linear Boltzmann Transport

IF 2.8 2区 数学 Q1 MATHEMATICS, APPLIED Journal of Scientific Computing Pub Date : 2024-07-02 DOI:10.1007/s10915-024-02569-3
Paul Houston, Matthew E. Hubbard, Thomas J. Radley, Oliver J. Sutton, Richard S. J. Widdowson
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Abstract

We introduce an hp-version discontinuous Galerkin finite element method (DGFEM) for the linear Boltzmann transport problem. A key feature of this new method is that, while offering arbitrary order convergence rates, it may be implemented in an almost identical form to standard multigroup discrete ordinates methods, meaning that solutions can be computed efficiently with high accuracy and in parallel within existing software. This method provides a unified discretisation of the space, angle, and energy domains of the underlying integro-differential equation and naturally incorporates both local mesh and local polynomial degree variation within each of these computational domains. Moreover, general polytopic elements can be handled by the method, enabling efficient discretisations of problems posed on complicated spatial geometries. We study the stability and hp-version a priori error analysis of the proposed method, by deriving suitable hp-approximation estimates together with a novel inf-sup bound. Numerical experiments highlighting the performance of the method for both polyenergetic and monoenergetic problems are presented.

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线性玻尔兹曼输运的高效高阶空间-角度-能量多拓扑非连续伽勒金有限元方法
我们为线性玻尔兹曼输运问题引入了一种 hp 版本的非连续伽勒金有限元法(DGFEM)。这种新方法的一个主要特点是,在提供任意阶收敛率的同时,它可以以与标准多组离散序数法几乎相同的形式实现,这意味着可以在现有软件中高效、高精度、并行地计算解。该方法对底层积分微分方程的空间域、角度域和能量域进行了统一离散化,并自然地将局部网格和局部多项式度变化纳入每个计算域。此外,该方法还能处理一般的多边形元素,从而高效地离散化复杂空间几何图形上的问题。我们通过推导合适的 hp 近似估计值和新颖的 inf-sup 约束,研究了所提方法的稳定性和 hp 版本先验误差分析。我们还介绍了该方法在多能问题和单能问题上的性能。
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来源期刊
Journal of Scientific Computing
Journal of Scientific Computing 数学-应用数学
CiteScore
4.00
自引率
12.00%
发文量
302
审稿时长
4-8 weeks
期刊介绍: Journal of Scientific Computing is an international interdisciplinary forum for the publication of papers on state-of-the-art developments in scientific computing and its applications in science and engineering. The journal publishes high-quality, peer-reviewed original papers, review papers and short communications on scientific computing.
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