Versatile Surface Tension and Adhesion for SPH Fluids

Nadir Akinci, Gizem Akinci, Matthias Teschner Realistic handling of fluid-air and fluid-solid interfaces in SPH is a challenging problem. The main reason is that some important physical phenomena such as surface tension and adhesion emerge as a result of inter-molecular forces in a microscopic scale. This is different from scalar fields such as fluid pressure, […]

Interactive Localized Liquid Motion Editing

Zherong Pan, Jin Huang, Yiying Tong, Changxi Zheng, and Hujun Bao Animation techniques for controlling liquid simulation are challenging: they commonly require carefully setting initial and boundary conditions or performing a costly numerical optimization scheme against user-provided keyframes or animation sequences. Either way, the whole process is laborious and computationally expensive. We introduce a novel […]

Spatio-temporal Extrapolation for Fluid Animation

Yubo Zhang, Kwan-Liu Ma We introduce a novel spatio-temporal extrapolation technique for fluid simulation designed to improve the results without using higher resolution simulation grids. In general, there are rigid demands associated with pushing fluid animations to higher resolutions given limited computational capabilities. This results in tradeoffs between implementing high-order numerical methods and increasing the resolution of […]

Physics-Based Animation of Large-scale Splashing Liquids

Dan Gerzewski, Adam Bargteil Fluid simulation has been one of the greatest successes of physics-based animation, generating hundreds of research papers and a great many special effects over the last fifteen years. However, the animation of large-scale, splashing liquids remains challenging. In this paper, we show that a novel combination of unilateral incompressibility, mass-full FLIP, […]

A Material Point Method for Snow Simulation

Alexey Stomakhin, Craig Schroeder, Lawrence Chai, Joseph Teran, Andrew Selle Snow is a challenging natural phenomenon to visually simulate. While the graphics community has previously considered accumulation and rendering of snow, animation of snow dynamics has not been fully addressed. Additionally, existing techniques for solids and fluids have difficulty producing convincing snow results. Specifically, wet or dense snow […]

Course: Turbulent Fluids

Tobias Pfaff, Nils Thuerey, Theodore Kim Over the last decade, the special effects industry has embraced physics simulations as a highly useful tool for creating realistic scenes ranging from a small camp fire to the large scale destruction of whole cities. While fluid simulations are now widely used in the industry, it remains inherently difficult […]

A New Grid Structure for Domain Extension

Bo Zhu, Wenlong Lu, Matthew Cong, Byungmoon Kim, Ronald Fedkiw We present an efficient grid structure that extends a uniform grid to create a significantly larger far-field grid by dynamically extending the cells surrounding a fine uniform grid while still maintaining fine resolution about the regions of interest. The far-field grid preserves almost every computational advantage of […]

A Hybrid Lagrangian-Eulerian Formulation for Bubble Generation and Dynamics

Saket Patkar, Mridul Aanjaneya, Dimitriy Karpman, Ronald Fedkiw We present a hybrid Lagrangian-Eulerian framework for simulating both small and large scale bubble dynamics, where the bubbles can grow or shrink in volume as dictated by pressure forces in the surrounding fluid. Small under-resolved bubbles are evolved using Lagrangian particles that are monolithically two-way coupled to […]

Chimera Grids for Water Simulation

R. Elliot English, Linhai Qiu, Yue Yu, Ronald Fedkiw We introduce a new method for large scale water simulation using Chimera grid embedding, which discretizes space with overlapping Cartesian grids that translate and rotate in order to decompose the domain into different regions of interest with varying spatial resolutions. Grids can track both fluid features […]

Subspace Fluid Re-Simulation

Theodore Kim, John Delaney We present a new subspace integration method that is capable of efficiently adding and subtracting dynamics from an existing high-resolution fluid simulation. We show how to analyze the results of an existing high-resolution simulation, discover an efficient reduced approximation, and use it to quickly “re-simulate” novel variations of the original dynamics. […]