Technical Papers

Technical Papers

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Dynamics

Thursday, 29 November 16:15 - 18:15 | Peridot 201

	Large-Scale Fluid Simulation using Velocity-Vorticity Domain Decomposition A hybrid fluid simulation method for large-scale scenes is proposed. Our novel algorithm couples grid-based simulations with vortex singularity methods providing performance benefits and a reduced memory footprint. It enables compact representation of velocity fields as vortex particles and flexibility to choose appropriate simulation methods for different subdomains Abhinav Golas, University of North Carolina, Chapel Hill Rahul Narain, University of California, Berkeley Jason Sewall, Intel Corporation Pavel Krajcevski, University of North Carolina at Chapel Hill Pradeep Dubey, Intel Corporation Ming Lin, University of North Carolina at Chapel Hill
	Staggered Meshless Solid-Fluid Coupling We present a staggered meshless method to overcome the difficulties in simulating the solid-fluid coupling with the meshless methods. The method is novel in that it provides a powerful tool to implement the stable one-way and two-way coupling between the fluids and rigid bodies. Xiaowei He, Chinese Academy of Sciences/Peking University Ning Liu, Peking University Guoping Wang, Peking University Fengjun Zhang, Chinese Academy of Sciences Sheng Li, Peking University Songdong Shao, University of Bradford Hongan Wang, Chinese Academy of Sciences
	Automated constraint placement to maintain pile shape We present a simulation control to support art-directable stacking designs by automatically adding constraints to stabilize the stacking structure. Shu-Wei Hsu, Computer Science, Texas A&M John Keyser, Texas A&M University
	Speculative Parallel Asynchronous Contact Mechanics We focus on provably correct simulations and show how to achieve a 200-600x speedup of Asynchronous Contact Mechanics. We replace expensive kinetic data structures with a rollback mechanism for handling collisions. This change alone provides a significant speedup, but it also enables force computation to be easily parallelized. Samantha Ainsley, Columbia University Etienne Vouga, Columbia University Eitan Grinspun, Columbia University Rasmus Tamstorf, Disney Animation
	Adaptive Anisotropic Remeshing for Cloth Simulation We present a technique for cloth simulation that dynamically refines and coarsens triangle meshes so that they automatically conform to the geometric and dynamic detail of the cloth. Our technique produces anisotropic meshes that adapt to surface curvature, velocity gradients, and buckling behavior, allowing efficient modeling of wrinkles and waves. Rahul Narain, University of California, Berkeley Armin Samii, University of California, Berkeley James O'Brien, University of California, Berkeley

Technical Papers

Dynamics

Large-Scale Fluid Simulation using Velocity-Vorticity Domain Decomposition

Staggered Meshless Solid-Fluid Coupling

Automated constraint placement to maintain pile shape

Speculative Parallel Asynchronous Contact Mechanics

Adaptive Anisotropic Remeshing for Cloth Simulation