High-order mass conservative compact characteristic finite volume methods for advection-dominated diffusion equations

IF 2.5 2区 数学 Q1 MATHEMATICS, APPLIED
Kai Fu , Shusen Xie , Dong Liang , Yilei Shi
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引用次数: 0

Abstract

In this work, high-order mass conservative compact characteristic finite volume methods are derived for advection-dominated diffusion equations. To overcome the restriction of the time step and obtain higher temporal accuracy, the method of characteristics is employed to treat the advection term. The compact finite volume technique is used to construct spatial fourth-order schemes with fewer blocks than traditional methods. Moreover, the Alternating Direction Implicit (ADI) method is utilized to effectively solve two-dimensional problems. The proposed compact finite volume methods can achieve temporally second-order and spatially fourth-order accuracy and possess mass conservation by implementing conservative interpolations and averaging along the characteristics. The temporal and spatial accuracy of the schemes, as well as the mass conservation property, are demonstrated in numerical tests on the solution of Gaussian pulse moving and viscous Burgers' equations. The computational results of transporting a square and a slotted cylinder show the good performance of the proposed methods in preserving mass and simulating the transport of concentration distributions with steep gradients.
平流主导扩散方程的高阶质量保守紧化特征有限体积法
本文导出了平流主导扩散方程的高阶质量保守紧致特征有限体积方法。为了克服时间步长的限制,获得更高的时间精度,采用特征化方法对平流项进行处理。采用紧致有限体积技术构造空间四阶格式,其块数比传统方法少。此外,利用交替方向隐式(ADI)方法有效地求解二维问题。所提出的紧致有限体积方法通过沿特征进行保守插值和平均,可以达到时间二阶和空间四阶精度,并具有质量守恒性。在求解高斯脉冲运动和粘性Burgers方程的数值试验中,证明了该格式的时间和空间精度以及质量守恒性。正方形和开槽圆柱输运的计算结果表明,所提方法在保持质量和模拟陡坡浓度分布输运方面具有良好的性能。
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 & Mathematics with Applications
Computers & Mathematics with Applications 工程技术-计算机:跨学科应用
CiteScore
5.10
自引率
10.30%
发文量
396
审稿时长
9.9 weeks
期刊介绍: Computers & Mathematics with Applications provides a medium of exchange for those engaged in fields contributing to building successful simulations for science and engineering using Partial Differential Equations (PDEs).
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