Monte Carlo Vortical Smoothed Particle Hydrodynamics for Simulating Turbulent Flows
Xingyu Ye,
Xiaokun Wang,
Yanrui Xu
et al.
Abstract:For vortex particle methods relying on SPH‐based simulations, the direct approach of iterating all fluid particles to capture velocity from vorticity can lead to a significant computational overhead during the Biot‐Savart summation process. To address this challenge, we present a Monte Carlo vortical smoothed particle hydrodynamics (MCVSPH) method for efficiently simulating turbulent flows within an SPH framework. Our approach harnesses a Monte Carlo estimator and operates exclusively within a pre‐sampled part… Show more
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