JOURNAL OF COMPUTATIONAL PHYSICS | 卷:444 |
A new isosurface extraction method on arbitrary grids | |
Article | |
Lopez, Joaquin1  Esteban, Adolfo2  Hernandez, Julio2  Gomez, Pablo2  Zamora, Rosendo1  Zanzi, Claudio2  Faura, Felix1  | |
[1] Univ Politecn Cartagena, Dept Ingn Mecan Mat & Fabricanon, ETSII, E-30202 Cartagena, Spain | |
[2] UNED, ETSII, Dept Mecan, E-28040 Madrid, Spain | |
关键词: Volume of fluid method; Interface reconstruction; Isosurface extraction; Non-convex polyhedra; Unstructured irregular grids; Signed distance; | |
DOI : 10.1016/j.jcp.2021.110579 | |
来源: Elsevier | |
【 摘 要 】
The development of interface-capturing methods (such as level-set, phase-field or volume of fluid (VOF) methods) for arbitrary 3D grids has further highlighted the need for more accurate and efficient interface reconstruction procedures. In this work, we propose a new method for the extraction of isosurfaces on arbitrary polyhedra that can be used with advantage for this purpose. The isosurface is extracted from volume fractions by a general polygon tracing procedure, which is valid for convex or non-convex geometries, even with non-planar faces. The proposed method, which can be considered as an extension of the marching cubes technique, produces consistent results even for ambiguous situations in polyhedra of arbitrary shape. To show the reproducibility of the results presented in this work, we provide the open source library isoap, which has been developed to implement the proposed method and includes test programs to demonstrate the successful extraction of isosurfaces on several grids with polyhedral cells of different types. We present results obtained not only for isosurface extraction from discrete volume fractions resulting from a volume of fluid method, but also from data sets obtained from implicit mathematical functions and signed distances to scanned surfaces. The improvement provided by the proposed method for the extraction of isosurfaces in arbitrary grids will also be very useful in other fields, such as CFD visualization or medical imaging. (c) 2021 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
【 授权许可】
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