2019
DOI: 10.48550/arxiv.1902.08767
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VoroCrust: Voronoi Meshing Without Clipping

Ahmed Abdelkader,
Chandrajit L. Bajaj,
Mohamed S. Ebeida
et al.

Abstract: both surface and volume elements. A robust refinement process estimates a suitable sizing field that enables the careful placement of Voronoi seeds across the surface circumventing the need for clipping and avoiding its many drawbacks. The algorithm has the flexibility of filling the interior by either structured or random samples, while all sharp features are preserved in the output mesh. We demonstrate the capabilities of the algorithm on a variety of models and compare against state-of-the-art polyhedral me… Show more

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“…The pre-processing, performed by an in-house code, prepares two files for the simulation, an ABAQUS input file (*.inp) and a text file (*.txt) for describing the topology of the defined user elements. There are also commercial software packages available for generating polyhedral meshes and can be used together with our source code, to name a few, STAR-CCM+ [52], ANSYS Fluent [53], and VoroCrust [54]. As the visualization of user elements is not directly supported by ABAQUS CAE, we output the nodal displacements through ABAQUS and write the result to external files which can be visualized by ParaView [55].…”
Section: Implementation Of the Sbfem User Elementmentioning
confidence: 99%
“…The pre-processing, performed by an in-house code, prepares two files for the simulation, an ABAQUS input file (*.inp) and a text file (*.txt) for describing the topology of the defined user elements. There are also commercial software packages available for generating polyhedral meshes and can be used together with our source code, to name a few, STAR-CCM+ [52], ANSYS Fluent [53], and VoroCrust [54]. As the visualization of user elements is not directly supported by ABAQUS CAE, we output the nodal displacements through ABAQUS and write the result to external files which can be visualized by ParaView [55].…”
Section: Implementation Of the Sbfem User Elementmentioning
confidence: 99%