Infinite Continuous Adaptivity for Incompressible SPH

Rene Winchenbach, Henrik Hockstetter, Andreas Kolb In this paper we introduce a novel method to adaptive incompressible SPH simulations. Instead of using a scheme with a number of fixed particle sizes or levels, our approach allows continuous particle sizes. This enables us to define optimal particle masses with respect to, e.g., the distance to the […]

Perceptual Evaluation of Liquid Simulation Methods

Kiwon Um, Xiangyu Hu, Nils Thuerey This paper proposes a novel framework to evaluate fluid simulation methods based on crowd-sourced user studies in order to robustly gather large numbers of opinions. The key idea for a robust and reliable evaluation is to use a reference video from a carefully selected real-world setup in the user […]

Multi-species simulation of porous sand and water mixtures

A. Pradhana Tampubolon, T. Gast, G. Klar, C. Fu, J. Teran, C. Jiang, K. Museth We present a multi-species model for the simulation of gravity driven landslides and debris flows with porous sand and water interactions. We use continuum mixture theory to describe individual phases where each species individually obeys conservation of mass and momentum […]

Power Diagrams and Sparse Paged Grids for High Resolution Adaptive Liquids

Mridul Aanjaneya, Ming Gao, Haixiang Liu, Christopher Batty and Eftychios Sifakis We present an efficient and scalable octree-inspired fluid simulation framework with the flexibility to leverage adaptivity in any part of the computational domain, even when resolution transitions reach the free surface. Our methodology ensures symmetry, definiteness and second order accuracy of the discrete Poisson […]

Variational Stokes: A Unified Pressure-Viscosity Solver for Accurate Viscous Liquids

Egor Larionov, Christopher Batty, Robert Bridson We propose a novel unsteady Stokes solver for coupled viscous and pressure forces in grid-based liquid animation which yields greater accuracy and visual realism than previously achieved. Modern fluid simulators treat viscosity and pressure in separate solver stages, which reduces accuracy and yields incorrect free surface behavior. Our proposed […]

A Multi-Scale Model for Simulating Liquid-Hair Interactions

Yun (Raymond) Fei, Henrique Teles Maia, Christopher Batty, Changxi Zheng, Eitan Grinspun The diverse interactions between hair and liquid are complex and span multiple length scales, yet are central to the appearance of humans and animals in many situations. We therefore propose a novel multi-component simulation framework that treats many of the key physical mechanisms […]

Approximate Air-Fluid Interactions for SPH

Christoph Gissler, Stefan Band, Andreas Peer, Markus Ihmsen, Matthias Teschner Computing the forces acting from a surrounding air phase onto an SPH free-surface fluid is challenging. For full multiphase simulations the computational overhead is significant and stability issues due to the high density ratio may arise. In contrast, the air-fluid interactions can be approximated efficiently […]

Moving Least Squares Boundaries for SPH Fluids

Stefan Band, Christoph Gissler, Matthias Teschner The paper shows that the SPH boundary handling of Akinci et al. [AIA∗ 12] suffers from perceivable issues in planar regions due to deviations in the computed boundary normals and due to erroneous oscillations in the distance computation of fluid particles to the boundary. In order to resolve these […]

Prescribed Velocity Gradients for Highly Viscous SPH Fluids with Vorticity Diffusion

Andreas Peer, Matthias Teschner 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 […]

Interpolations of Smoke and Liquid Simulations

Nils Thuerey We present a novel method to interpolate smoke and liquid simulations in order to perform data-driven fluid simulations. Our approach calculates a dense space-time deformation using grid-based signed-distance functions of the inputs. A key advantage of this implicit Eulerian representation is that it allows us to use powerful techniques from the optical flow […]