Acceleration of Particle Based Fluid Simulation with Adhesion Boundary Conditions Using GPU
Acceleration of Particle Based Fluid Simulation with Adhesion Boundary Conditions Using GPU
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DOI：
10.1007/978-981-10-6502-6_30
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发表时间：
2017-08
期刊：
影响因子：
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通讯作者：
Yasutomo Kanetsuki;S. Nakata
中科院分区：
文献类型：
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作者：
Yasutomo Kanetsuki;S. Nakata
提出了隐式光滑粒子流体动力学（SPH）的粘附边界条件。现有的方法称为幽灵SPH地址粘附边界条件，并产生合理的液体动画使用幽灵粒子。然而，鬼粒子的生成，当它是在图形处理单元（GPU）上实现时，需要相当多的计算时间。本文的目的是使用GPU加速幽灵SPH。为了加快处理粘附边界条件，我们提出了一个新的边界模型，可以跳过鬼粒子的产生过程中的空气和固体物体。所提出的技术不仅是有效的，但也继承了其他隐式曲面的优点，如光滑。我们的测试结果表明，该方法有效地产生自然的流体附着运动，没有空气或固体颗粒，并实现了超过百倍的速度相比，幽灵SPH。
We present adhesion boundary conditions for smoothed particle hydrodynamics (SPH) with implicit surfaces. An existing method called ghost SPH addresses adhesion boundary conditions and produces plausible liquid animations using ghost particles. The generation of ghost particles, however, takes considerable computation time when it is implemented on graphics processing units (GPUs). The purpose of this paper is to accelerate ghost SPH using GPUs. In order to accelerate the processing of adhesion boundary conditions, we propose a new boundary model that can skip the ghost particle generation process in air and solid objects. The proposed technique is not just efficient but also inherits other advantages of implicit surfaces such as smoothness. Our test results show that the proposed method efficiently produces natural fluid adhesion motion without air or solid particles and achieves more than a hundredfold speed up compared to ghost SPH.