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Fast and Scalable Turbulent Flow Simulation with Two-Way Coupling

机译:具有双向耦合的快速和可伸缩的湍流模拟

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Despite their cinematic appeal, turbulent flows involving fluid-solid couplingremain a computational challenge in animation. At the root of thiscurrent limitation is the numerical dispersion from which most accurateNavier-Stokes solvers suffer: proper coupling between fluid and solid oftengenerates artificial dispersion in the form of local, parasitic trains of velocityoscillations, eventually leading to numerical instability. While successiveimprovements over the years have led to conservative and detail-preservingfluid integrators, the dispersive nature of these solvers is rarely discusseddespite its dramatic impact on fluid-structure interaction. In this paper, weintroduce a novel low-dissipation and low-dispersion fluid solver that cansimulate two-way coupling in an efficient and scalable manner, even forturbulent flows. In sharp contrast with most current CG approaches, weconstruct our solver from a kinetic formulation of the flow derived from statisticalmechanics. Unlike existing lattice Boltzmann solvers, our approachleverages high-order moment relaxations as a key to controlling both dissipationand dispersion of the resulting scheme. Moreover, we combine our newfluid solver with the immersed boundary method to easily handle fluid-solid coupling through time adaptive simulations. Our kinetic solver is highlyparallelizable by nature, making it ideally suited for implementation onsingle- or multi-GPU computing platforms. Extensive comparisons withexisting solvers on synthetic tests and real-life experiments are used to highlightthe multiple advantages of our work over traditional and more recentapproaches, in terms of accuracy, scalability, and efficiency.
机译:尽管他们的电影吸引力,令人兴奋的流动涉及液体固体耦合仍然是动画中的计算挑战。在这个的根本电流限制是最准确的数值分散Navier-Stokes Solvers遭受:经常液体和固体之间的适当耦合以局部寄生虫速率的形式产生人工分散振动,最终导致数值不稳定。连续多年来改善导致保守和细节保存流体积分器,很少讨论这些溶剂的分散性尽管对流体结构相互作用产生了显着影响。在本文中,我们介绍一种可以的新型低耗散和低分散流体求解器以高效且可扩展的方式模拟双向耦合,即使是为了湍流。与大多数CG接近的鲜明对比,我们从统计流量的动力学制剂中构建我们的求解器力学。与现有的格子Boltzmann求解器不同,我们的方法利用高阶时刻放松作为控制耗散的关键并将所得方案的分散。而且,我们结合了我们的新手具有浸没边界法的流体求解器,可以通过时间适应性模拟容易地处理流体固体耦合。我们的动力学求解器很高兴自然并行,使其非常适合实施单个或多GPU计算平台。广泛的比较对合成试验和现实实验的现有溶剂用于突出显示我们对传统和更近期的工作的多种优势在准确性,可扩展性和效率方面接近。

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