{"title":"稀薄气体动力学21矩最大熵模型的近似","authors":"F. Giroux, J. McDonald","doi":"10.1080/10618562.2022.2047666","DOIUrl":null,"url":null,"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.","PeriodicalId":56288,"journal":{"name":"International Journal of Computational Fluid Dynamics","volume":"70 1","pages":"632 - 652"},"PeriodicalIF":1.1000,"publicationDate":"2021-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"An Approximation for the Twenty-One-Moment Maximum-Entropy Model of Rarefied Gas Dynamics\",\"authors\":\"F. Giroux, J. McDonald\",\"doi\":\"10.1080/10618562.2022.2047666\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":56288,\"journal\":{\"name\":\"International Journal of Computational Fluid Dynamics\",\"volume\":\"70 1\",\"pages\":\"632 - 652\"},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2021-09-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Computational Fluid Dynamics\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1080/10618562.2022.2047666\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"MECHANICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Computational Fluid Dynamics","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/10618562.2022.2047666","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MECHANICS","Score":null,"Total":0}
An Approximation for the Twenty-One-Moment Maximum-Entropy Model of Rarefied Gas Dynamics
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.
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.