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Compressible Lattice Boltzmann Method for Turbulent Jet Flow Simulations

机译:湍流射流模拟的可压缩格子玻尔兹曼方法

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In Computational Fluid Dynamics (CFD), there are a variety of numerical methods, of which some depend on macroscopic model representatives. These models can be solved by finite-volume, finite-element or finite-difference methods on a microscopic description. However, the lattice Boltzmann method (LBM) is considered to be a mesoscopic particle method, with its scale lying between the macroscopic and microscopic scales. The LBM works well for solving incompressible flow problems, but certain limitations arise from solving compressible flows, particularly at high Mach numbers. An improved lattice Boltzmann model for compressible flow problems is presented in this research study. A higher-order Taylor series expansion of the Maxwell equilibrium distribution function is used to overcome limitations in LBM when solving high-Mach-number flows. Large eddy simulation (LES) is implemented in LBM to simulate turbulent jet flows. The results have been validated with available experimental data for turbulent compressible free jet flow at subsonic speeds.
机译:在计算流体动力学(CFD)中,存在多种数值方法,其中一些方法依赖于宏观模型的代表。这些模型可以通过微观描述中的有限体积,有限元或有限差分方法求解。但是,格子玻尔兹曼方法(LBM)被认为是介观粒子方法,其标度介于宏观和微观尺度之间。 LBM非常适合解决不可压缩的流动问题,但是解决可压缩的流动会带来某些限制,尤其是在高马赫数下。本研究提出了一种改进的可压缩流问题的格子玻尔兹曼模型。麦克斯韦平衡分布函数的高阶泰勒级数展开用于克服求解高马赫数流时LBM的局限性。在LBM中实现了大涡模拟(LES),以模拟湍流射流。结果已经用亚音速下湍流可压缩自由射流的可用实验数据进行了验证。

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