Robust turbulence simulation for particle-based fluids using the Rankine vortex model

Xiaokun Wang, Sinuo Liu, Xiaojuan Ban*, Yanrui Xu, Jing Zhou, Jiri Kosinka

*Bijbehorende auteur voor dit werk

Onderzoeksoutput: ArticleAcademicpeer review

5 Citaten (Scopus)
61 Downloads (Pure)


We propose a novel turbulence refinement method based on the Rankine vortex model for smoothed particle hydrodynamics (SPH) simulations. Surface details are enhanced by recovering the energy lost due to the lack of the rotation of SPH particles. The Rankine vortex model is used to convert the diffused and stretched angular kinetic energy of particles to the linear kinetic energy of their neighbors. In previous vorticity-based refinement methods, adding more energy than required by the viscous damping effect leads to instability. In contrast, our model naturally prevents the positive feedback effect between the velocity and vorticity fields since the vortex model is designed to alter the velocity without introducing external sources. Experimental results show that our method can recover missing high-frequency details realistically and maintain convergence in both static and highly dynamic scenarios.

Originele taal-2English
Pagina's (van-tot)2285-2298
Aantal pagina's14
TijdschriftVisual computer
Nummer van het tijdschrift10-12
Vroegere onlinedatum4-aug.-2020
StatusPublished - okt.-2020

Citeer dit