2017
DOI: 10.1109/tvcg.2016.2636144
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Prescribed Velocity Gradients for Highly Viscous SPH Fluids with Vorticity Diffusion

Abstract: Working with prescribed velocity gradients is a promising approach to efficiently and robustly simulate highly viscous SPH fluids. Such approaches allow to explicitly and independently process shear rate, spin, and expansion rate. This can be used to, e.g., avoid interferences between pressure and viscosity solvers. Another interesting aspect is the possibility to explicitly process the vorticity, e.g., to preserve the vorticity. In this context, this paper proposes a novel variant of the prescribed-gradient i… Show more

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Cited by 29 publications
(19 citation statements)
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“…Over the years, SPH has been established as one major approach for fluid animation in computer graphics, being applied to different applications such as for simulating foam or bubbles. 29 Several extensions have been proposed, for example, exploring vorticity diffusion with vorticity preservation for viscous fluids, 30 achieving efficient divergence-free velocity fields, 31 and addressing viscous SPH fluids that can generate coiling and buckling phenomena. 32 In addition to SPH models, position-based methods have also become popular in the computer graphics community because of the improved speed, stability, and control offered by the approach, even if the results may not be as accurate as force-based methods.…”
Section: Figurementioning
confidence: 99%
“…Over the years, SPH has been established as one major approach for fluid animation in computer graphics, being applied to different applications such as for simulating foam or bubbles. 29 Several extensions have been proposed, for example, exploring vorticity diffusion with vorticity preservation for viscous fluids, 30 achieving efficient divergence-free velocity fields, 31 and addressing viscous SPH fluids that can generate coiling and buckling phenomena. 32 In addition to SPH models, position-based methods have also become popular in the computer graphics community because of the improved speed, stability, and control offered by the approach, even if the results may not be as accurate as force-based methods.…”
Section: Figurementioning
confidence: 99%
“…The open source library is a fluid simulation engine based on OpenGL and C++. The library contains five popular SPH fluid simulation methods (DFSPH [2], IISPH [6], PBF [8], PCISPH [5], PF [1]) and three surface tension processing methods (Becker 2007 [9], Akinci 2013 [10], He2014 [11]) and six viscosity term processing methods (standard [12], XSPH [13] [15]) and two methods of curl processing (MicropolarModel_Bender2017 [16], VorticityConfinement [19]) and two types of DragForce (Macklin 2014 [17], Gissler 2017 [18]). We use a parallel hash algorithm to speed up the domain search of particles [20], and the density calculation uses the cubic spline kernel function [21].…”
Section: Implementation Detailsmentioning
confidence: 99%
“…Even though their method computes the velocity eld very e ciently, we propose an even more e cient and versatile solution, which handles larger time steps thanks to a PBD-style constrained dynamics solver, and supports more diverse viscoelastic behaviors. Peer et al [2017] have later extended their method to improve vorticity handling.…”
Section: Related Workmentioning
confidence: 99%