论文标题
多尺度稀有气流的非线性气体动力学模拟的一般合成迭代方案
General synthetic iteration scheme for non-linear gas kinetic simulation of multi-scale rarefied gas flows
论文作者
论文摘要
扩展了一般的合成迭代方案(GSIS),以找到非线性气体动力学方程的稳态解,从而消除了近固定流中的慢速收敛性和超细网格的需求。 GSI的关键要素是气体动力学方程式和宏观合成方程是紧密耦合的,并且宏观合成方程中的本构关系明确包含牛顿的剪切应力定律和傅立叶的热传导定律。描述稀疏效应的高阶本构关系是根据速度分布函数计算得出的,但是,它们的构造比我们先前的工作简单(Su等,计算物理学杂志407(2020)109245),用于线性化气体动力学方程。另一方面,宏观合成方程的溶液用于在下一个迭代步骤中告知气体动力学方程的演变。周期系统中严格的线性傅立叶稳定性分析表明,GSI的误差衰减率可能小于0.5,这意味着在10个迭代中,可以将偏移到稳态溶液的偏差减少3个数量级。 GSIS的其他重要优点是(i)它不依赖Boltzmann碰撞操作员的特定形式,并且(ii)可以通过计算流体动力学的复杂技术来解决它,从而可以适合大型工程应用。在本文中,稀有气体动力学中的许多规范测试用例证明了GSI的效率和准确性。
The general synthetic iteration scheme (GSIS) is extended to find the steady-state solution of nonlinear gas kinetic equation, removing the long-standing problems of slow convergence and requirement of ultra-fine grids in near-continuum flows. The key ingredients of GSIS are that the gas kinetic equation and macroscopic synthetic equations are tightly coupled, and the constitutive relations in macroscopic synthetic equations explicitly contain Newton's law of shear stress and Fourier's law of heat conduction. The higher-order constitutive relations describing rarefaction effects are calculated from the velocity distribution function, however, their constructions are simpler than our previous work (Su et al. Journal of Computational Physics 407 (2020) 109245) for linearized gas kinetic equations. On the other hand, solutions of macroscopic synthetic equations are used to inform the evolution of gas kinetic equation at the next iteration step. A rigorous linear Fourier stability analysis in periodic system shows that the error decay rate of GSIS can be smaller than 0.5, which means that the deviation to steady-state solution can be reduced by 3 orders of magnitude in 10 iterations. Other important advantages of the GSIS are (i) it does not rely on the specific form of Boltzmann collision operator and (ii) it can be solved by sophisticated techniques in computational fluid dynamics, making it amenable to large scale engineering applications. In this paper, the efficiency and accuracy of GSIS is demonstrated by a number of canonical test cases in rarefied gas dynamics.