Discontinuous Galerkin method for incompressible viscous flow based on the entropically damped artificial compressibility

IF 2.5 3区 工程技术 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Le-Wen Chen , Yun-Long Liu , Zhao-Li Tian , Qi-Hang Hao , Qi Kong
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引用次数: 0

Abstract

The entropically damped artificial compressibility (EDAC) method was integrated into the Runge–Kutta discontinuous Galerkin (RKDG) framework to solve incompressible Navier–Stokes equations. The discontinuous Galerkin method (DG) is known for its robustness and compactness, making it an optimal choice for developing high-order numerical methods on unstructured meshes. The EDAC method adds an entropic damping term to the continuity equation of the traditional artificial compressibility method to alleviate pressure fluctuations during computation. This combination enhances numerical stability and improves computational accuracy, especially in capturing smooth and physically accurate pressure fields. The viscous terms of the momentum equations and the entropic damping term of the continuity equation are discretized together using the symmetric interior penalty Galerkin (SIPG) method by introducing the penalty term to ensure the continuity of the interface solution, which allows the framework to maintain numerical stability on unstructured grids and locally refined grids. Next, quadtree adaptive mesh refinement (AMR) technology was incorporated, and guardcells were used to realize data communication among leaf blocks, thereby enhancing the computational efficiency of the framework. Finally, several test cases were conducted to validate the framework’s precision, accuracy, boundary conditions, and effectiveness of the adaptive technology.
基于熵阻尼人工可压缩性的不可压缩粘性流的不连续Galerkin方法
将熵阻尼人工可压缩性(EDAC)方法集成到龙格-库塔不连续伽辽金(RKDG)框架中,求解不可压缩的Navier-Stokes方程。不连续伽辽金方法(DG)以其鲁棒性和紧凑性而闻名,是在非结构化网格上开发高阶数值方法的最佳选择。EDAC方法在传统人工压缩法的连续性方程中加入熵阻尼项,以减轻计算过程中的压力波动。这种组合增强了数值稳定性,提高了计算精度,特别是在捕获光滑和物理精确的压力场时。采用对称内罚伽辽金(SIPG)方法对动量方程的粘性项和连续性方程的熵阻尼项进行离散化,通过引入保证界面解连续性的罚项,使框架在非结构网格和局部精细化网格上保持数值稳定性。其次,引入四叉树自适应网格细化(AMR)技术,利用守护单元实现叶块之间的数据通信,提高了框架的计算效率;最后,通过几个测试用例验证了该框架的精度、精度、边界条件和自适应技术的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Computers & Fluids
Computers & Fluids 物理-计算机:跨学科应用
CiteScore
5.30
自引率
7.10%
发文量
242
审稿时长
10.8 months
期刊介绍: Computers & Fluids is multidisciplinary. The term ''fluid'' is interpreted in the broadest sense. Hydro- and aerodynamics, high-speed and physical gas dynamics, turbulence and flow stability, multiphase flow, rheology, tribology and fluid-structure interaction are all of interest, provided that computer technique plays a significant role in the associated studies or design methodology.
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