在 Rusanov 求解器中使用物理变量的分段抛物线重构。I. 狭义相对论流体力学方程

I. M. Kulikov
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引用次数: 0

摘要

摘要 用于求解流体力学方程的 Rusanov 求解器是黎曼求解器中最稳健的方案之一。对于特殊相对论流体力学而言,该方案的鲁棒性条件是最重要的特性,尤其是在洛伦兹因子值足够高的情况下。与此同时,众所周知 Rusanov 求解器耗散性很强。建议使用物理变量的片断抛物线表示来减少 Rusanov 方案的耗散。使用这种方法可以获得与 Roe 型方案和 Harten-Lax-van Leer 方案系列具有相同耗散特性的方案。通过相对论流体力学不连续的衰减问题,证明本作者版本的 Rusanov 方案在重现接触不连续方面具有优势。该方案在非连续性衰减的经典问题和三维形式下两个相对论射流的相互作用问题上得到了验证。
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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Using Piecewise Parabolic Reconstruction of Physical Variables in the Rusanov Solver. I. The Special Relativistic Hydrodynamics Equations

Abstract

The Rusanov solver for solving hydrodynamic equations is one of the most robust schemes in the class of Riemann solvers. For special relativistic hydrodynamics, the robustness condition of the scheme is the most important property, especially for sufficiently high values of the Lorentz factor. At the same time, the Rusanov solver is known to be very dissipative. It is proposed to use a piecewise parabolic representation of physical variables to reduce the dissipation of the Rusanov scheme. Using this approach has made it possible to obtain a scheme with the same dissipative properties as Roe-type schemes and the family of Harten–Lax–van Leer schemes. Using the problem of the decay of a relativistic hydrodynamic discontinuity, it is shown that the present author’s version of the Rusanov scheme is advantageous in terms of reproducing a contact discontinuity. The scheme is verified on classical problems of discontinuity decay and on the problem of the interaction of two relativistic jets in the three-dimensional formulation.

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来源期刊
Journal of Applied and Industrial Mathematics
Journal of Applied and Industrial Mathematics Engineering-Industrial and Manufacturing Engineering
CiteScore
1.00
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16
期刊介绍: Journal of Applied and Industrial Mathematics  is a journal that publishes original and review articles containing theoretical results and those of interest for applications in various branches of industry. The journal topics include the qualitative theory of differential equations in application to mechanics, physics, chemistry, biology, technical and natural processes; mathematical modeling in mechanics, physics, engineering, chemistry, biology, ecology, medicine, etc.; control theory; discrete optimization; discrete structures and extremum problems; combinatorics; control and reliability of discrete circuits; mathematical programming; mathematical models and methods for making optimal decisions; models of theory of scheduling, location and replacement of equipment; modeling the control processes; development and analysis of algorithms; synthesis and complexity of control systems; automata theory; graph theory; game theory and its applications; coding theory; scheduling theory; and theory of circuits.
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