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A Fast and Rigorously Parallel Surface Voxelization Technique for GPU-Accelerated CFD Simulations

Published online by Cambridge University Press:  03 June 2015

C. F. Janßen ,
N. Koliha  and
T. Rung
C. F. Janßen*
Affiliation:
Institute for Fluid Dynamics and Ship Theory, Hamburg University of Technology, Schwarzenbergstraße 95 C, 21073 Hamburg, Germany
N. Koliha
Affiliation:
Institute for Fluid Dynamics and Ship Theory, Hamburg University of Technology, Schwarzenbergstraße 95 C, 21073 Hamburg, Germany
T. Rung
Affiliation:
Institute for Fluid Dynamics and Ship Theory, Hamburg University of Technology, Schwarzenbergstraße 95 C, 21073 Hamburg, Germany
*
*Corresponding author. Email addresses: [email protected] (C. Janßen), [email protected] (N. Koliha), [email protected] (T. Rung)
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Abstract

This paper presents a fast surface voxelization technique for the mapping of tessellated triangular surface meshes to uniform and structured grids that provide a basis for CFD simulations with the lattice Boltzmann method (LBM). The core algorithm is optimized for massively parallel execution on graphics processing units (GPUs) and is based on a unique dissection of the inner body shell. This unique definition necessitates a topology based neighbor search as a preprocessing step, but also enables parallel implementation. More specifically, normal vectors of adjacent triangular tessellations are used to construct half-angles that clearly separate the per-triangle regions. For each triangle, the grid nodes inside the axis-aligned bounding box (AABB) are tested for their distance to the triangle in question and for certain well-defined relative angles. The performance of the presented grid generation procedure is superior to the performance of the GPU-accelerated flow field computations per time step which allows efficient fluid-structure interaction simulations, without noticeable performance loss due to the dynamic grid update.

Keywords

51P0565Z0568W10Fast Grid GenerationParallel Cartesian MappingVoxelizationGPULattice BoltzmannELBE
Type
Research Article
Information
Communications in Computational Physics , Volume 17 , Issue 5 , May 2015 , pp. 1246 - 1270
Copyright
Copyright © Global-Science Press 2015 

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