可压缩Navier-Stokes-Fourier系统有限体积法的误差估计

IF 2.2 2区 数学 Q1 MATHEMATICS, APPLIED Mathematics of Computation Pub Date : 2023-05-08 DOI:10.1090/mcom/3852
Danica Basarić, Mária Lukáčova-Medvidova, Hana Mizerová, Bangwei She, Yuhuan Yuan
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引用次数: 0

摘要

本文研究了可压缩Navier-Stokes-Fourier系统有限体积近似的收敛速率。为此,我们首先证明了正则唯一强解的局部存在性,并在密度和温度保持有界的情况下,分析了它在时间上的全局扩展。我们做了一个物理上合理的假设,即数值密度和温度从上到下均匀地有界。相对能量为我们提供了一种优雅的方法来推导有限体积解和强解之间的先验误差估计。
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Error estimates of a finite volume method for the compressible Navier–Stokes–Fourier system
In this paper we study the convergence rate of a finite volume approximation of the compressible Navier–Stokes–Fourier system. To this end we first show the local existence of a regular unique strong solution and analyse its global extension in time as far as the density and temperature remain bounded. We make a physically reasonable assumption that the numerical density and temperature are uniformly bounded from above and below. The relative energy provides us an elegant way to derive a priori error estimates between finite volume solutions and the strong solution.
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来源期刊
Mathematics of Computation
Mathematics of Computation 数学-应用数学
CiteScore
3.90
自引率
5.00%
发文量
55
审稿时长
7.0 months
期刊介绍: All articles submitted to this journal are peer-reviewed. The AMS has a single blind peer-review process in which the reviewers know who the authors of the manuscript are, but the authors do not have access to the information on who the peer reviewers are. This journal is devoted to research articles of the highest quality in computational mathematics. Areas covered include numerical analysis, computational discrete mathematics, including number theory, algebra and combinatorics, and related fields such as stochastic numerical methods. Articles must be of significant computational interest and contain original and substantial mathematical analysis or development of computational methodology.
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