Physical Simulation

Tuesday, 7 August
3:45 - 6 pm
Room 6CF
Session Chair/Discussant: Irfan Essa, Georgia Institute of Technology

Curl Noise for Procedural Fluid Flow

A simple noise-based approach to procedurally modeling turbulent fluid flow that can handle arbitrary solid boundaries and more.

Robert Bridson
The University of British Columbia

Jim Hourihan
Tweak Films

Markus Nordenstam
Double Negative

Wrinkled Flames and Cellular Patterns

Using asymptotic detonation-shock-dynamics to obtain fire and flames with characteristic cellular patterns, which provides better velocities for the level set in a coupled Navier-Stokes fire simulator.

Jeong-Mo Hong
Tamar Shinar
Ron Fedkiw
Stanford University

Adaptively Sampled Particle Fluids

An adaptive sampling algorithm based on an extended local feature size and a distance-based surface definition for particle fluids.

Bart Adams
Stanford University and Katholieke Universiteit Leuven

Mark Pauly
Richard Keiser
ETH Zürich

Leonidas J. Guibas
Stanford University

Efficient Simulation of Inextensible Cloth

A method that efficiently obtains very low strain along the warp and weft using constrained Lagrangian dynamics. It can be easily integrated into existing cloth simulators.

Rony Goldenthal
The Hebrew University of Jerusalem and Columbia University

David Harmon
Columbia University

Raanan Fattal
University of California, Berkeley

Michel Bercovier
The Hebrew University of Jerusalem

Eitan Grinspun
Columbia University

TRACKS: Toward Directable Thin Shells

Tracking begins with a rough animation already set by the artist and uses physical simulation to add fine-scale details without deviating from the artist's intentions.

Miklós Bergou
Saurabh Mathur
Columbia University

Max Wardetzky
Freie Universität Berlin

Eitan Grinspun
Columbia University