An Approximation for the Twenty-One-Moment Maximum-Entropy Model of Rarefied Gas Dynamics

IF 1.1 4区 工程技术 Q4 MECHANICS
F. Giroux, J. McDonald
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引用次数: 4

Abstract

The use of moment-closure methods to predict continuum and moderately rarefied flow offers many modelling and numerical advantages over traditional methods. The maximum-entropy family of moment closures offers models described by hyperbolic systems of equations. In particular, the twenty-one moment model of the maximum-entropy hierarchy offers a hyperbolic treatment of viscous flows exhibiting heat transfer. This model has the ability to provide accurate solutions where the Navier–Stokes equations lose physical validity. Furthermore, its first-order hyperbolic nature offers the potential for improved numerical accuracy as well as a decreased sensitivity to mesh quality. Unfortunately, the distribution function associated with the 21 moment model is an exponential of a fourth-order polynomial. Such a function cannot be integrated in closed form, resulting in unobtainable closing fluxes. This work presents an approximation to the closing fluxes that respects the maximum-entropy philosophy as closely as possible. The proposed approximation is able to provide shock predictions in good agreement with the Boltzmann equation and surpassing the prediction of the Navier–Stokes equations. A dispersion analysis as well as an investigation of the hyperbolicity of the model is also shown.
稀薄气体动力学21矩最大熵模型的近似
与传统方法相比,使用矩闭方法预测连续流和中等稀薄流具有许多建模和数值优势。最大熵的矩闭包家族提供了由双曲方程组描述的模型。特别是,最大熵层次的21矩模型提供了一个双曲的处理粘性流动表现出传热。该模型能够在Navier-Stokes方程失去物理有效性的情况下提供精确的解。此外,它的一阶双曲性质提供了提高数值精度的潜力,以及降低对网格质量的敏感性。不幸的是,与21矩模型相关的分布函数是一个四阶多项式的指数。这样的函数不能以封闭形式积分,导致无法获得封闭通量。这项工作提出了一个近似的关闭通量,尊重最大熵哲学尽可能接近。所提出的近似能够提供与玻尔兹曼方程非常一致的冲击预测,并且超越了纳维-斯托克斯方程的预测。本文还对模型的双曲性进行了研究,并进行了色散分析。
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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来源期刊
CiteScore
2.70
自引率
7.70%
发文量
25
审稿时长
3 months
期刊介绍: The International Journal of Computational Fluid Dynamics publishes innovative CFD research, both fundamental and applied, with applications in a wide variety of fields. The Journal emphasizes accurate predictive tools for 3D flow analysis and design, and those promoting a deeper understanding of the physics of 3D fluid motion. Relevant and innovative practical and industrial 3D applications, as well as those of an interdisciplinary nature, are encouraged.
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