Fast Distance Fields for Fluid Dynamics Mesh Generation on Graphics Hardware

Year:    2019

Communications in Computational Physics, Vol. 26 (2019), Iss. 3 : pp. 654–680

Abstract

We present a CUDA accelerated implementation of the Characteristic/Scan Conversion algorithm to generate narrow band signed distance fields in logically Cartesian grids. We outline an approach of task and data management on GPUs based on an input of a closed triangulated surface with the aim of reducing pre-processing and mesh-generation times. The work demonstrates a fast signed distance field generation of triangulated surfaces with tens of thousands to several million features in high resolution domains. We present improvements to the robustness of the original algorithm and an overview of handling geometric data.

Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/10.4208/cicp.OA-2018-013

Communications in Computational Physics, Vol. 26 (2019), Iss. 3 : pp. 654–680

Published online:    2019-01

AMS Subject Headings:    Global Science Press

Copyright:    COPYRIGHT: © Global Science Press

Pages:    27

Keywords:    Signed distance field GPU CUDA mesh generation fluid dynamics

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