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首页> 外文期刊>Numerical Heat Transfer, Part B: Fundamentals >Numerical Illustrations of the Coupling Between the Lattice Boltzmann Method and Finite-Type Macro-Numerical Methods
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Numerical Illustrations of the Coupling Between the Lattice Boltzmann Method and Finite-Type Macro-Numerical Methods

机译:格子玻尔兹曼方法与有限类型宏观数值方法之间耦合的数值图示

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An analytic expression called a reconstruction operator is proposed for the exchange from velocity of finite-type methods to the single-particle distribution function of the lattice Boltzmann method (LBM). The combined finite-volume method and lattice Boltzmann method (called the CFVLBM) is adopted to solve three flow cases, backward-facing flow, flow around a circular cylinder, and lid-driven cavity flow. The results predicted by the CFVLBM agree with the available numerical solutions very well. It is shown that the vorticity contour distribution is a more appropriate parameter to ensure good smoothness and consistency at the coupling interface. At the same time, CPU time used by the CFVLBM(II), with more than one outer iteration before interface information exchange, is much less than that of the CFVLBM(I), where interface information exchanges are executed after each outer iteration.View full textDownload full textRelated var addthis_config = { ui_cobrand: "Taylor & Francis Online", services_compact: "citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,more", pubid: "ra-4dff56cd6bb1830b" }; Add to shortlist Link Permalink http://dx.doi.org/10.1080/15421400903579929
机译:提出了一种解析表达式,称为重构算子,用于将有限型方法的速度转换为格子玻尔兹曼方法(LBM)的单粒子分布函数。采用有限体积法和格子玻尔兹曼法相结合(称为CFVLBM)来解决三种流动情况,即向后流动,绕圆柱体流动和盖驱动腔流动。 CFVLBM预测的结果与可用的数值解非常吻合。结果表明,涡度轮廓分布是更合适的参数,可确保耦合界面处的良好平滑度和一致性。同时,CFVLBM(II)使用的CPU时间比接口信息交换在每个外部迭代之后执行的CFVLBM(I)的CPU时间要少得多,CFVLBM(II)在接口信息交换之前进行了多次外部迭代。全文下载全文相关变量var addthis_config = {ui_cobrand:“泰勒和弗朗西斯在线”,servicescompact:“ citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,更多”,发布时间:“ ra-4dff56cd6bb1830b” };添加到候选列表链接永久链接http://dx.doi.org/10.1080/15421400903579929

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