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A simplified thermal lattice Boltzmann method without evolution of distribution functions

机译:简化的热晶格玻尔兹曼法,不发展分布函数

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In this paper, a simplified thermal lattice Boltzmann method (STLBM) without evolution of the distribution functions is developed for simulating incompressible thermal flows. With the assistance of the fractional step technique, the macroscopic governing equations recovered from Chapman-Enskog (C-E) expansion analysis are resolved through a predictor-corrector scheme. Then in both the predictor and corrector steps, using the isentropic properties of lattice tensors and relationships of C-E analysis, the macroscopic flow variables are explicitly calculated from the equilibrium and non-equilibrium distribution functions. In STLBM, the equilibrium distribution functions are calculated from the macroscopic variables, while the non-equilibrium distribution functions are evaluated from the differences between two equilibrium distribution functions at different locations and time levels. Therefore, STLBM directly updates the macroscopic variables during the computational process, which lowers the virtual memory cost and facilitates the implementation of physical boundary conditions. Through von Neumann stability analysis, the present method is proven to be unconditionally stable, which is further validated by numerical tests. Three representative examples are presented to demonstrate the robustness of STLBM in practical simulations and its flexibility on different types of meshes and boundaries.
机译:在本文中,为模拟不可压缩的热流,开发了一种无需分布函数演化的简化热晶格玻尔兹曼方法(STLBM)。在分数步技术的帮助下,从查普曼-恩斯科格(C-E)展开分析中恢复的宏观控制方程通过预测器-校正器方案进行求解。然后在预测器和校正器步骤中,利用晶格张量的等熵特性和C-E分析的关系,从平衡和非平衡分布函数显式计算宏观流动变量。在STLBM中,从宏观变量计算平衡分布函数,而从不同位置和时间水平的两个平衡分布函数之间的差异评估非平衡分布函数。因此,STLBM在计算过程中直接更新宏观变量,从而降低了虚拟内存成本并促进了物理边界条件的实现。通过冯·诺依曼稳定性分析,证明了本方法是无条件稳定的,并通过数值试验进一步验证。给出了三个有代表性的例子,以证明STLBM在实际模拟中的鲁棒性及其在不同类型的网格和边界上的灵活性。

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