High-order accurate implicit time marching scheme for solving compressible Navier–Stokes equations based on temporal reconstruction

IF 3.8 2区 物理与天体物理 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Hanyu Zhou, Yu-xin Ren
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引用次数: 0

Abstract

This paper presents a new family of high-order implicit time marching schemes based on direct integration and temporal reconstruction (DITR). These schemes can be used to solve the system of ordinary differential equations (ODEs) arising from semi-discretization of partial differential equations (PDEs) such as the compressible Navier–Stokes equations. DITR methods can be constructed with third- and fourth-order temporal accuracy in a straightforward fashion, and require fewer stages than some popular implicit Runge–Kutta schemes. Some DITR ODE integrators can achieve A-stability or L-stability. We present a matrix-free iteration method for solving the DITR equations, which ensures that DITR can be efficiently implemented in practical applications. The linear stability is realized by choosing an appropriate preconditioning parameter. The numerical results demonstrate that DITR methods can achieve high-order of accuracy with comparatively low computational cost. When achieving the same level of errors in numerical solutions, some DITR methods use significantly smaller amounts of time compared with the popular ESDIRK4 method.
基于时间重构的求解可压缩Navier-Stokes方程的高阶精确隐式时间推进方案
提出了一种新的基于直接积分和时间重构的高阶隐式时间推进算法。这些格式可用于求解由偏微分方程(PDEs)的半离散化引起的常微分方程组,如可压缩的Navier-Stokes方程。DITR方法可以以一种简单的方式以三阶和四阶时间精度构造,并且比一些流行的隐式龙格-库塔方案需要更少的阶段。一些DITR ODE积分器可以实现a稳定或l稳定。我们提出了一种求解DITR方程的无矩阵迭代方法,保证了DITR在实际应用中能够有效地实现。通过选择合适的预处理参数,实现了系统的线性稳定性。数值结果表明,DITR方法能够以较低的计算成本实现高阶精度。当在数值解中达到相同的误差水平时,与流行的ESDIRK4方法相比,一些DITR方法使用的时间要少得多。
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来源期刊
Journal of Computational Physics
Journal of Computational Physics 物理-计算机:跨学科应用
CiteScore
7.60
自引率
14.60%
发文量
763
审稿时长
5.8 months
期刊介绍: Journal of Computational Physics thoroughly treats the computational aspects of physical problems, presenting techniques for the numerical solution of mathematical equations arising in all areas of physics. The journal seeks to emphasize methods that cross disciplinary boundaries. The Journal of Computational Physics also publishes short notes of 4 pages or less (including figures, tables, and references but excluding title pages). Letters to the Editor commenting on articles already published in this Journal will also be considered. Neither notes nor letters should have an abstract.
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