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Computer animation challenges for computational fluid dynamics

机译：计算流体动力学的计算机动画挑战

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摘要

Computer animation requirements differ from those of traditional computational fluid dynamics (CFD) investigations in that visual plausibility and rapid frame update rates trump physical accuracy. We present an overview of the main techniques for fluid simulation in computer animation, starting with Eulerian grid approaches, the Lattice Boltzmann method, Fourier transform techniques and Lagrangian particle introduction. Adaptive grid methods, precomputation of results for model reduction, parallelisation and computation on graphical processing units (GPUs) are reviewed in the context of accelerating simulation computations for animation. A survey of current specific approaches for the application of these techniques to the simulation of smoke, fire, water, bubbles, mixing, phase change and solid-fluid coupling is also included. Adding plausibility to results through particle introduction, turbulence detail and concentration on regions of interest by level set techniques has elevated the degree of accuracy and realism of recent animations. Basic approaches are described here. Techniques to control the simulation to produce a desired visual effect are also discussed. Finally, some references to rendering techniques and haptic applications are mentioned to provide the reader with a complete picture of the challenges of simulating fluids in computer animation.
机译：计算机动画的要求与传统的计算流体力学（CFD）研究的要求不同，因为视觉上的合理性和快速的帧更新速率胜过物理精度。我们对计算机动画中流体仿真的主要技术进行了概述，从欧拉网格方法，莱迪思玻尔兹曼方法，傅立叶变换技术和拉格朗日粒子引入开始。在加速动画仿真计算的背景下，对自适应网格方法，用于模型简化的结果预计算，并行化以及在图形处理单元（GPU）上的计算进行了回顾。还包括对将这些技术应用于烟，火，水，气泡，混合，相变和固液耦合的仿真的当前特定方法的调查。通过水平集技术通过引入粒子，湍流细节和将感兴趣的区域集中到结果上来增加结果的可信度，从而提高了最近动画的准确性和真实性。这里介绍了基本方法。还讨论了控制模拟以产生所需视觉效果的技术。最后，提到了一些对渲染技术和触觉应用程序的引用，以向读者提供有关计算机动画中模拟流体挑战的完整图片。

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