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A crystalline, red green strategy for meshing highly deformable objects with tetrahedra

Molino, Neil, Robert Bridson, Joseph Teran and Ronald Fedkiw

Proceedings, 12th International Meshing Roundtable, Sandia National Laboratories, pp.103-114, Sept. 2003

IMR
PROCEEDINGS

12th International Meshing Roundtable
September 14-17, 2003
Santa Fe, New Mexico, U.S.A.

Stanford University, Stanford, CA, U.S.A.
fnpmolino@stanford.edu; rbridson@stanford.edu; jterang@stanford.edu; fedkiw@cs.stanford.edu

Abstract
Motivated by Lagrangian simulation of elastic deformation, we propose a new tetrahedral mesh generation algorithm that produces both high quality elements and a mesh that is well conditioned for subsequent large deformations. We use a signed distance function defined on a Cartesian grid in order to represent the object geometry. After tiling space with a uniform lattice based on crystallography, we use the signed distance function or other user defined criteria to guide a red green mesh subdivision algorithm that results in a candidate mesh with the appropriate level of detail. Then, we carefully select the nal topology so that the connectivity is suitable for large deformation and the mesh approximates the desired shape. Finally, we compress the mesh to tightly fit the object boundary using either masses and springs, the nite element method or an optimization approach to relax the positions of the nodes. The resulting mesh is well suited for simulation since it is highly structured, has robust topological connectivity in the face of large deformations, and is readily refined if deemed necessary during subsequent simulation.

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