Flow simulation with locally-refined LBM

Ye Zhao, Feng Qiu, Zhe Fan, A. Kaufman
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引用次数: 26

Abstract

We simulate 3D fluid flow by a locally-refined lattice Boltzmann method (LBM) on graphics hardware. A low resolution LBM simulation running on a coarse grid models global flow behavior of the entire domain with low consumption of computational resources. For regions of interest where small visual details are desired, LBM simulations are performed on fine grids, which are separate grids superposed on the coarse one. The flow properties on boundaries of the fine grids are determined by the global simulation on the coarse grid. Thus, the locally refined fine-grid simulations follow the global fluid behavior, and model the desired small-scale and turbulent flow motion with their denser numerical discretization. A fine grid can be initiated and terminated at any time while the global simulation is running. It can also move inside the domain with a moving object to capture small-scale vortices caused by the object. Besides the performance improvement due to the adaptive simulation, the locally-refined LBM is suitable for acceleration on contemporary graphics hardware (GPU), since it involves only local and linear computations. Therefore, our approach achieves fast and adaptive 3D flow simulation for computer games and other interactive applications.
局部细化LBM的流动模拟
在图形硬件上采用局部细化晶格玻尔兹曼方法(LBM)模拟三维流体流动。在粗网格上运行的低分辨率LBM模拟模拟了整个区域的整体流动行为,计算资源消耗低。对于需要小视觉细节的感兴趣区域,LBM模拟在细网格上进行,细网格是叠加在粗网格上的单独网格。细网格边界上的流动特性是通过粗网格的全局模拟来确定的。因此,局部细化的细网格模拟遵循全局流体行为,并通过更密集的数值离散化来模拟所需的小尺度和湍流运动。精细网格可以在全局模拟运行时随时启动和终止。它还可以在移动物体的区域内移动,以捕捉物体引起的小尺度漩涡。除了自适应仿真带来的性能提升外,局部改进的LBM由于只涉及局部和线性计算,因此适用于当代图形硬件(GPU)的加速。因此,我们的方法实现了计算机游戏和其他交互式应用的快速和自适应三维流模拟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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