A material point method for snow simulation
Abstract
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 that has both solid- and fluid-like properties is difficult to handle. Consequently, this paper presents a novel snow simulation method utilizing a user-controllable elasto-plastic constitutive model integrated with a hybrid Eulerian/Lagrangian Material Point Method. The method is continuum based and its hybrid nature allows us to use a regular Cartesian grid to automate treatment of self-collision and fracture. It also naturally allows us to derive a grid-based semi-implicit integration scheme that has conditioning independent of the number of Lagrangian particles. We demonstrate the power of our method with a variety of snow phenomena including complex character interactions.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Jul 21, 2013
- Source ID
- 10.1145/2461912.2461948
Entities
People
- Alexey Stomakhin
- Andrew Selle
- Craig Schroeder
- Joseph Teran
- Lawrence Chai
Organizations
- Disney Research
- Division of Computing and Communication Foundations
- Intel Corporation
- National Science Foundation Division of Mathematical Sciences
- Office of Naval Research
- United States Department of Energy
- University of California, Los Angeles
- Walt Disney Animation Studios