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A spectral difference lattice Boltzmann method for solution of inviscid compressible flows on structured grids

机译:谱差格子玻尔兹曼方法求解结构网格上无粘性可压缩流

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In this work, a spectral difference lattice Boltzmann method (SDLBM) is developed and applied for an accurate simulation of two,dimensional inviscid compressible flows on structured grids. The compressible form of the discrete Boltzmann-BGK equation is used in which multiple particle speeds have to be employed to correctly model the compressibility in a thermal fluid. Here, the 2D compressible Lattice Boltzmann (LB) model proposed by Watari is applied. The spectral difference (SD) method is implemented for the solution of the LB equation in which the particle distribution function is stored at the solution points while the fluxes are computed at the flux points for calculating the particle distribution function. For time accurate solutions, the fourth-order Runge-Kutta scheme is used to discretize the temporal term in the LB equation. Note that the procedure of implementing the SD method to solve the LB equation is nearly the same as that procedure developed in the literature for the solution of the Euler equations. The accuracy and robustness of the present solution methodology are demonstrated by simulating different benchmark compressible flow problems. A sensitivity study is also conducted to evaluate the effects of the numerical parameters and the grid size/distribution on the accuracy and performance of the solution. At first, three inviscid compressible flow problems, namely, the stationary isentropic vortex, the shock tube and the shock vortex interaction are solved by using the SDLBM to demonstrate the accuracy and robustness of the present solution methodology. Results computed for these test cases are in good agreement with the analytical and the available numerical solutions. To more assess the accuracy and robustness of the SDLBM, a third-order finite volume LBM (FVLBM) is also developed and the solutions obtained by these two methods for the test cases simulated are thoroughly compared with each other. It is demonstrated that the SDLBM is more accurate and robust compressible inviscid flow solver that can be used for evaluating the other compressible LB-based flow solvers. As the final problem, the supersonic flow past a bump is simulated to demonstrate the accuracy and robustness of the SDLBM in reaching to a steady-state solution. (C) 2016 Elsevier Ltd. All rights reserved.
机译:在这项工作中,开发了一种谱差格子玻尔兹曼方法(SDLBM),并将其应用于结构化网格上二维无粘性可压缩流的精确模拟。使用离散Boltzmann-BGK方程的可压缩形式,其中必须采用多个粒子速度来正确模拟热流体中的可压缩性。在此,使用了由Watari提出的2D可压缩Lattice Boltzmann(LB)模型。对LB方程的解实施谱差(SD)方法,在该LB方程中,在分布点处存储粒子分布函数,而在通量点处计算通量以计算粒子分布函数。对于时间精确的解决方案,使用四阶Runge-Kutta方案离散化LB方程中的时间项。注意,执行SD方法来求解LB方程的过程与文献中为解决Euler方程而开发的过程几乎相同。通过模拟不同的基准可压缩流动问题,证明了本解决方案方法的准确性和鲁棒性。还进行了敏感性研究,以评估数值参数和网格大小/分布对解决方案的准确性和性能的影响。首先,通过使用SDLBM解决了三个无粘性可压缩流动问题,即固定的等熵涡流,激波管和激波涡流相互作用,以证明本解决方案方法的准确性和鲁棒性。这些测试用例的计算结果与解析和可用的数值解非常吻合。为了更好地评估SDLBM的准确性和鲁棒性,还开发了三阶有限体积LBM(FVLBM),并将这两种方法针对模拟测试案例获得的解决方案进行了全面比较。结果表明,SDLBM是更准确,更可靠的可压缩无粘性流动求解器,可用于评估其他基于LB的可压缩流动求解器。作为最后的问题,模拟了经过凹凸的超音速流,以证明SDLBM在达到稳态解时的准确性和鲁棒性。 (C)2016 Elsevier Ltd.保留所有权利。

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