利用周流体力学进行高密度比多流体模拟

Han Yan, Bo-Ning Ren
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引用次数: 0

摘要

多元流体模拟近年来引起了广泛的研究兴趣。尽管目前的工作取得了令人印象深刻的成功,但使用基于粒子的离散化方法模拟包含高密度比相混合或解混的场景仍然是一项具有挑战性的任务。本文提出了一种稳定处理高密度比多流体模拟的准动力混合模型理论。针对多流体模拟中高密度比条件下的相质量守恒和颗粒体积变化,提出了一种基于颗粒的离散化方法,以积分形式计算多相Navier-Stokes方程中的所有项,并设计了一种新的质量更新策略。因此,在涉及高密度比相混合和解混的混合-模型多流体模拟中,我们获得了明显更稳定的模拟结果。各种实验和比较证明了我们的方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High Density Ratio Multi-Fluid Simulation with Peridynamics
Multiple fluid simulation has raised wide research interest in recent years. Despite the impressive successes of current works, simulation of scenes containing mixing or unmixing of high-density-ratio phases using particle-based discretizations still remains a challenging task. In this paper, we propose a peridynamic mixture-model theory that stably handles high-density-ratio multi-fluid simulations. With assistance of novel scalar-valued volume flow states, a particle based discretization scheme is proposed to calculate all the terms in the multi-phase Navier-Stokes equations in an integral form, We also design a novel mass updating strategy for enhancing phase mass conservation and reducing particle volume variations under high density ratio settings in multi-fluid simulations. As a result, we achieve significantly stabler simulations in mixture-model multi-fluid simulations involving mixing and unmixing of high density ratio phases. Various experiments and comparisons demonstrate the effectiveness of our approach.
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