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Published on: February 4, 2013
A LAGUERRE VORONOI BASED SCHEME FOR MESHING PARTICLE SYSTEMS
1Center for Computational Visualization, Department of Computer Sciences, & Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, TX 78712, http://www.cs.utexas.edu/users/bajaj.
This study introduces Laguerre Voronoi subdivision algorithms for creating high-quality quadrilateral and hexahedral meshes for particle systems. These methods ensure smooth, differentiable meshes suitable for various scientific simulations.
Area of Science:
- Computational geometry
- Scientific computing
- Meshing algorithms
Background:
- Particle systems are fundamental in simulating physical phenomena.
- Generating high-quality conformal meshes for particle systems is computationally challenging.
- Existing methods often struggle with complex particle geometries and dynamic changes.
Purpose of the Study:
- To develop novel Laguerre Voronoi based subdivision algorithms for quadrilateral and hexahedral meshing.
- To create particle-conforming, smooth, and differentiable meshes for 2D and 3D particle systems.
- To extend the algorithms for dynamic re-meshing scenarios.
Main Methods:
- Utilizing Laguerre Voronoi diagrams to partition bounded regions containing particles.
- Decomposing Voronoi cells into initial quadrilateral/hexahedral scaffolds.
- Applying recursive subdivision techniques with specific averaging rules for mesh refinement.
Main Results:
- Generation of particle-conforming quadrilateral and hexahedral meshes.
- Meshes exhibit good quality, smoothness, and differentiability.
- Demonstrated extensions for dynamic re-meshing (particle addition, deletion, movement).
Conclusions:
- The proposed Laguerre Voronoi based subdivision algorithms provide an effective approach for meshing particle systems.
- The resulting meshes are suitable for applications in composite materials, molecular dynamics, and astrophysics.
- The dynamic re-meshing capabilities enhance the algorithms' utility in evolving simulations.
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