时间精确混合非连续伽勒金方法各向异性网格间的保守解转移

IF 1.7 4区 工程技术 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Tomáš Levý, Georg May
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引用次数: 0

摘要

我们提出了一种混合非连续伽勒金(HDG)求解器,可用于一般时变平衡定律。我们特别关注非稳态问题的求解过程与各向异性网格细化框架之间的耦合。我们的目标是用尽可能少的网格元素妥善解决所有相关的非稳态特征,从而在保持精度的同时降低数值模拟的计算成本。由于各向异性网格调整会产生高度倾斜、非嵌套的三角形网格序列,因此关键的一步是在两个网格之间转换数值解。为此,我们采用伽勒金投影法进行 HDG 解法转移,因为它既能保持物理相关量的守恒性,又不会影响高阶方法的精度。我们通过数值实验验证了各向异性自适应 HDG 方法的这些特性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Conservative solution transfer between anisotropic meshes for time-accurate hybridized discontinuous Galerkin methods

Conservative solution transfer between anisotropic meshes for time-accurate hybridized discontinuous Galerkin methods

Conservative solution transfer between anisotropic meshes for time-accurate hybridized discontinuous Galerkin methods

We present a hybridized discontinuous Galerkin (HDG) solver for general time-dependent balance laws. In particular, we focus on a coupling of the solution process for unsteady problems with our anisotropic mesh refinement framework. The goal is to properly resolve all relevant unsteady features with the smallest possible number of mesh elements, and hence to reduce the computational cost of numerical simulations while maintaining its accuracy. A crucial step is then to transfer the numerical solution between two meshes, as the anisotropic mesh adaptation is producing highly skewed, non-nested sequences of triangular grids. For this purpose, we adopt the Galerkin projection for the HDG solution transfer as it preserves the conservation of physically relevant quantities and does not compromise the accuracy of high-order method. We present numerical experiments verifying these properties of the anisotropically adaptive HDG method.

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来源期刊
International Journal for Numerical Methods in Fluids
International Journal for Numerical Methods in Fluids 物理-计算机:跨学科应用
CiteScore
3.70
自引率
5.60%
发文量
111
审稿时长
8 months
期刊介绍: The International Journal for Numerical Methods in Fluids publishes refereed papers describing significant developments in computational methods that are applicable to scientific and engineering problems in fluid mechanics, fluid dynamics, micro and bio fluidics, and fluid-structure interaction. Numerical methods for solving ancillary equations, such as transport and advection and diffusion, are also relevant. The Editors encourage contributions in the areas of multi-physics, multi-disciplinary and multi-scale problems involving fluid subsystems, verification and validation, uncertainty quantification, and model reduction. Numerical examples that illustrate the described methods or their accuracy are in general expected. Discussions of papers already in print are also considered. However, papers dealing strictly with applications of existing methods or dealing with areas of research that are not deemed to be cutting edge by the Editors will not be considered for review. The journal publishes full-length papers, which should normally be less than 25 journal pages in length. Two-part papers are discouraged unless considered necessary by the Editors.
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