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View-Dependent Multiscale Fluid Simulation

机译:基于视图的多尺度流体模拟

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摘要

Fluid flows are highly nonlinear and nonstationary, with turbulence occurring and developing at different length and time scales. In real-life observations, the multiscale flow generates different visual impacts depending on the distance to the viewer. We propose a new fluid simulation framework that adaptively allocates computational resources according to the viewer's position. First, a 3D empirical mode decomposition scheme is developed to obtain the velocity spectrum of the turbulent flow. Then, depending on the distance to the viewer, the fluid domain is divided into a sequence of nested simulation partitions. Finally, the multiscale fluid motions revealed in the velocity spectrum are distributed nonuniformly to these view-dependent partitions, and the mixed velocity fields defined on different partitions are solved separately using different grid sizes and time steps. The fluid flow is solved at different spatial-temporal resolutions, such that higher frequency motions closer to the viewer are solved at higher resolutions and vice versa. The new simulator better utilizes the computing power, producing visually plausible results with realistic fine-scale details in a more efficient way. It is particularly suitable for large scenes with the viewer inside the fluid domain. Also, as high-frequency fluid motions are distinguished from low-frequency motions in the simulation, the numerical dissipation is effectively reduced.
机译:流体流动是高度非线性且不稳定的,湍流在不同的长度和时间尺度上发生和发展。在现实生活中,多尺度流根据与观看者的距离产生不同的视觉冲击。我们提出了一种新的流体模拟框架,该框架根据观看者的位置自适应地分配计算资源。首先,开发了一种3D经验模式分解方案,以获得湍流的速度谱。然后,根据到观察者的距离,将流体域划分为一系列嵌套的模拟分区。最后,在速度谱中揭示的多尺度流体运动不均匀地分布到这些依赖于视图的分区,并且使用不同的网格大小和时间步长分别求解在不同分区上定义的混合速度场。在不同的时空分辨率下解决流体流动,从而在更高的分辨率下解决更靠近观察者的高频运动,反之亦然。新的模拟器可以更好地利用计算能力,以更有效的方式产生视觉上合理的结果以及逼真的精细比例细节。它特别适合观看者在流域内部的大型场景。另外,由于在仿真中将高频流体运动与低频运动区分开,因此有效地减少了数值耗散。

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