On mesh refinement procedures for polygonal virtual elements

IF 2.2 Q2 ENGINEERING, MULTIDISCIPLINARY
Daniel van Huyssteen , Felipe Lopez Rivarola , Guillermo Etse , Paul Steinmann
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引用次数: 0

Abstract

This work concerns the application of adaptive refinement procedures to meshes of unstructured polygonal virtual elements. Adaptive refinement indicators previously proposed by the authors, and investigated for meshes of structured quadrilateral elements, are studied in more general applications. Specifically, the performance of the indicators is studied on unstructured polygonal meshes, and for cases of compressible and nearly-incompressible materials. Localized refinement of unstructured meshes is a non-trivial task as the algorithm must be robust, and must accommodate a wide variety of geometric possibilities. To this end, an element refinement algorithm is presented based on strategic seeding of Voronoi tessellations and is suitable for both structured and unstructured meshes. Furthermore, it is not known apriori whether the previously proposed refinement indicators will be reliable or effective in the presence of unstructured mesh geometries and nearly-incompressible materials. Thus, the performance of the refinement procedures is studied through a broad numerical campaign. The results demonstrate that the high degree of efficacy and efficiency previously exhibited by the adaptive procedures is also achieved in the cases of irregular unstructured/Voronoi meshes and near-incompressibility.
多边形虚元的网格细化方法
本工作涉及自适应细化程序在非结构化多边形虚拟元素网格中的应用。作者先前提出的自适应细化指标,以及对结构四边形单元网格的研究,在更一般的应用中进行了研究。具体来说,研究了这些指标在非结构化多边形网格、可压缩和近乎不可压缩材料情况下的性能。非结构化网格的局部细化是一项非常重要的任务,因为算法必须具有鲁棒性,并且必须适应各种各样的几何可能性。为此,提出了一种基于Voronoi细分策略播种的单元细化算法,该算法适用于结构化和非结构化网格。此外,在非结构化网格几何形状和几乎不可压缩材料存在的情况下,先前提出的细化指标是否可靠或有效尚不清楚。因此,通过广泛的数值活动研究了改进过程的性能。结果表明,在不规则非结构化/Voronoi网格和接近不可压缩的情况下,自适应程序也达到了以前所表现出的高度的有效性和效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Applications in engineering science
Applications in engineering science Mechanical Engineering
CiteScore
3.60
自引率
0.00%
发文量
0
审稿时长
68 days
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