Multiple solutions of nonlinear coupled constitutive relation model and its rectification in non-equilibrium flow computation

IF 2.9 2区 数学 Q1 MATHEMATICS, APPLIED Computers & Mathematics with Applications Pub Date : 2024-08-21 DOI:10.1016/j.camwa.2024.08.017
Junzhe Cao , Sha Liu , Chengwen Zhong , Congshan Zhuo , Kun Xu
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Abstract

In this study, the multiple solutions of Nonlinear Coupled Constitutive Relation (NCCR) model are observed and a way for identifying the physical solution is proposed. The NCCR model proposed by Myong is constructed from the generalized hydrodynamic equations of Eu, and aims to describe rarefied flows. In the non-equilibrium regime, the NCCR equations are more reliable than the Navier-Stokes equations. And the NCCR equations have an advantage of efficiency over the discrete velocity methods and stochastic particle methods. However, the NCCR model is a complicated nonlinear system. Many assumptions have been used in the schemes for solving the NCCR equations. The corresponding numerical methods may be associated with unphysical solution and instability. At the same time, it is hard to analyze the physical accuracy and stability of NCCR model due to the uncertainties in the numerical discretization. In this study, a new numerical method for solving NCCR equations is proposed and used to analyze the properties of NCCR equations. More specifically, the nonlinear equations are converted into the solutions of an objective function of a single variable. Under this formulation, the multiple solutions of the NCCR system are identified and the criteria for picking up the physical solution are proposed. Therefore, a numerical scheme for solving NCCR equations is constructed. A series of flow problems in the near continuum and low transition regimes with a large variation of Mach numbers are conducted to validate the numerical performance of proposed method and the physical accuracy of NCCR model.

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非线性耦合构成关系模型的多重解及其在非平衡流动计算中的矫正
本研究观察了非线性耦合构造关系(NCCR)模型的多重解,并提出了一种识别物理解的方法。Myong 提出的 NCCR 模型由 Eu 的广义流体力学方程构建而成,旨在描述稀流。在非平衡状态下,NCCR方程比Navier-Stokes方程更可靠。与离散速度法和随机粒子法相比,NCCR方程具有效率优势。然而,NCCR 模型是一个复杂的非线性系统。在求解 NCCR 方程的方案中使用了许多假设。相应的数值方法可能存在非物理解法和不稳定性。同时,由于数值离散化的不确定性,很难分析 NCCR 模型的物理精度和稳定性。本研究提出了一种求解 NCCR 方程的新数值方法,并用于分析 NCCR 方程的特性。更具体地说,非线性方程被转换成单变量目标函数的解。在此表述下,确定了 NCCR 系统的多个解,并提出了拾取物理解的标准。因此,构建了求解 NCCR 方程的数值方案。为了验证所提方法的数值性能和 NCCR 模型的物理准确性,我们对马赫数变化较大的近连续和低过渡状态下的一系列流动问题进行了研究。
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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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