Predictive-corrective incompressible SPH
Predictive-corrective incompressible SPH
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DOI：
10.1145/1576246.1531346
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发表时间：
2009-07
期刊：
影响因子：
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通讯作者：
B. Solenthaler;R. Pajarola
中科院分区：
文献类型：
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作者：
B. Solenthaler;R. Pajarola
我们提出了一种基于拉格朗日平滑粒子流体动力学 (SPH) 模型的新型不可压缩流体模拟方法。在我们的方法中，通过使用预测校正方案来确定粒子压力来强制不可压缩性。为此，有关密度波动的信息通过流体主动传播，并且更新压力值，直到满足目标密度。通过这种方法，我们避免了求解压力泊松方程的计算费用，同时仍然能够在模拟中使用大的时间步长。所取得的结果表明，我们的预测校正不可压缩 SPH (PCISPH) 方法明显优于常用的弱可压缩 SPH (WCSPH) 模型一个数量级以上，同时计算结果与 WCSPH 结果非常一致。
We present a novel, incompressible fluid simulation method based on the Lagrangian Smoothed Particle Hydrodynamics (SPH) model. In our method, incompressibility is enforced by using a prediction-correction scheme to determine the particle pressures. For this, the information about density fluctuations is actively propagated through the fluid and pressure values are updated until the targeted density is satisfied. With this approach, we avoid the computational expenses of solving a pressure Poisson equation, while still being able to use large time steps in the simulation. The achieved results show that our predictive-corrective incompressible SPH (PCISPH) method clearly outperforms the commonly used weakly compressible SPH (WCSPH) model by more than an order of magnitude while the computations are in good agreement with the WCSPH results.