Technical Papers

Fluids I

Tuesday, 27 July | 9:00 AM - 10:30 AM | Room 408 AB
Session Chair: Miguel Otaduy, Universidad Rey Juan Carlos, Madrid
Matching Fluid Simulation Elements to Surface Geometry and Topology

A Voronoi-mesh-based liquid simulation framework that combines triangle-mesh-based surface tracking with geometry-aware sample generation to animate extremely detailed sheets and splashes. This paper also propose an improved surface tension model that accurately captures capillary waves at the resolution of the surface.

Tyson Brochu
Christopher Batty
Robert Bridson
The University of British Columbia

A Multiscale Approach to Mesh-Based Surface Tension Flows

A novel mesh-based approach to efficiently simulate fluids with strong surface tension. The method is based on a volume-preserving mean curvature flow and combines stable Eulerian surface-tension boundary conditions with a surface-wave simulation to achieve highly detailed simulations.

Nils Thuerey
ETH Zürich

Chris Wojtan
Georgia Institute of Technology

Markus Gross
ETH Zürich

Greg Turk
Georgia Institute of Technology

Dynamic Local Remeshing for Elastoplastic Simulation

Large elastic or plastic deformations can impair the quality of finite-element simulation meshes. This paper proposes using continuous, local remeshing to maintain a high-quality simulation mesh under large deformations. The method also maintains a consistent world-space mesh even after plastic deformations, allowing for controllable plasticity.

Martin Wicke
University of California, Berkeley

Daniel Ritchie
University of California, Berkeley

Bryan Klingner
University of California, Berkeley

Sebastian Burke
University of California, Berkeley

Jonathan Shewchuk
University of California, Berkeley

James O'Brien
University of California, Berkeley

Physics-Inspired Topology Changes for Thin Fluid Features

A mesh-based surface-tracking method for fluid animation that preserves fine surface details and robustly adjusts the topology of the surface. This technique permits arbitrarily thin fluid features with minimal re-sampling errors by reusing points from the original surface.

Christopher Wojtan
Georgia Institute of Technology

Nils Thuerey
ETH Zürich

Markus Gross
ETH Zürich

Greg Turk
Georgia Institute of Technology

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