通过比较计算数据和实验数据评估现代代码的准确性--以围绕后向强制和前向强制串联步骤的超音速粘性湍流气体流为例

Q3 Mathematics

Mathematical Models and Computer Simulations Pub Date : 2024-04-22 DOI:10.1134/s2070048224010046

S. M. Bosnyakov, M. E. Berezko, Yu. N. Deryugin, A. P. Duben, R. N. Zhuchkov, A. S. Kozelkov, T. K. Kozubskaya, S. V. Matyash, S. V. Mikhailov, M. K. Okulov, V. A. Talyzin, A. A. Utkina, N. A. Kharchenko, V. I. Shevyakov

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引用次数: 0

摘要

摘要描述了用于研究复杂构造周围粘性湍流可压缩气体流动的各种程序代码。对串联的三维反向强制和正向强制步骤进行了一系列测试计算。计算的目的是利用经典和现代方法分析分离区的分辨率精度。为了实现这一目标，对流动的物理特征进行了描述，并比较了在后向强制和前向强制步骤串联测试案例中使用不同代码获得的结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Evaluation of the Accuracy of Modern Codes by Comparing the Calculated and Experimental Data on the Example of a Problem on a Supersonic Viscous Turbulent Gas Flow Around a Tandem of Back-Forcing and Forward-Forcing Steps

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Abstract

Various program codes for the investigation of a viscous turbulent compressible gas flow around complicated configurations are described. A series of test calculations for a tandem of 3D back-forcing and forward-forcing steps are performed. The purpose of the calculations is to analyze the resolution accuracy of the separation zones using classical and modern methods. To achieve the goal, the physical features of the flow are described and the results obtained using different codes in the back-forcing and forward-forcing steps tandem test case are compared.

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来源期刊

Mathematical Models and Computer Simulations Mathematics-Computational Mathematics

CiteScore

1.20

自引率

0.00%

发文量

期刊介绍： Mathematical Models and Computer Simulations is a journal that publishes high-quality and original articles at the forefront of development of mathematical models, numerical methods, computer-assisted studies in science and engineering with the potential for impact across the sciences, and construction of massively parallel codes for supercomputers. The problem-oriented papers are devoted to various problems including industrial mathematics, numerical simulation in multiscale and multiphysics, materials science, chemistry, economics, social, and life sciences.