A Mesh Adaptation algorithm for highly deforming domains in the Particle Finite Element Method

T. Leyssens, J. Remacle
{"title":"A Mesh Adaptation algorithm for highly deforming domains in the Particle Finite Element Method","authors":"T. Leyssens, J. Remacle","doi":"10.23967/admos.2023.062","DOIUrl":null,"url":null,"abstract":"Highly deforming domains are a recurring problem in fluid mechanics. In domains bounded by a free surface, for instance, the evolving boundaries need to be accurately represented at all times. In such situations, Lagrangian methods are a judicious choice for their ability to track material points in an evolving domain. The Particle Finite Element Method[1], or PFEM, has the ability to capture such strong domain deformations. In the PFEM, the fluid is represented by a set of particles. At each time step, these particles are triangulated. The conservation equations are solved on this triangulation using the finite element method to obtain the material velocity of each particle. Using this velocity, the particles’ positions are updated, resulting in a deformed domain which can be triangulated again at the next time step. It is important to note that merely triangulating the particles is not enough. Indeed, there is no unique definition of the boundary of a set of points in 2D or 3D. A geometrical algorithm, known as the α -shape of a triangulation[2], is therefore employed to define the shape of the fluid domain. Since this algorithm depends on quality and size aspects of the elements in the triangulation, properly adapting the mesh is key to the success of the method. In this work, we propose an approach to adapt the mesh with theoretical guarantees of quality. The approach is based on Delaunay refinement strategies[3], allowing to adapt the mesh while maintaining high quality elements. The interest of using Delaunay Refinement techniques is twofold. First of all, the algorithm for the domain boundary recognition, the α -shape, is strongly connected to the Delaunay triangulation","PeriodicalId":414984,"journal":{"name":"XI International Conference on Adaptive Modeling and Simulation","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"XI International Conference on Adaptive Modeling and Simulation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23967/admos.2023.062","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Highly deforming domains are a recurring problem in fluid mechanics. In domains bounded by a free surface, for instance, the evolving boundaries need to be accurately represented at all times. In such situations, Lagrangian methods are a judicious choice for their ability to track material points in an evolving domain. The Particle Finite Element Method[1], or PFEM, has the ability to capture such strong domain deformations. In the PFEM, the fluid is represented by a set of particles. At each time step, these particles are triangulated. The conservation equations are solved on this triangulation using the finite element method to obtain the material velocity of each particle. Using this velocity, the particles’ positions are updated, resulting in a deformed domain which can be triangulated again at the next time step. It is important to note that merely triangulating the particles is not enough. Indeed, there is no unique definition of the boundary of a set of points in 2D or 3D. A geometrical algorithm, known as the α -shape of a triangulation[2], is therefore employed to define the shape of the fluid domain. Since this algorithm depends on quality and size aspects of the elements in the triangulation, properly adapting the mesh is key to the success of the method. In this work, we propose an approach to adapt the mesh with theoretical guarantees of quality. The approach is based on Delaunay refinement strategies[3], allowing to adapt the mesh while maintaining high quality elements. The interest of using Delaunay Refinement techniques is twofold. First of all, the algorithm for the domain boundary recognition, the α -shape, is strongly connected to the Delaunay triangulation
粒子有限元法中高变形域的网格自适应算法
高变形域是流体力学中一个反复出现的问题。例如,在以自由曲面为界的域中,需要始终准确地表示不断变化的边界。在这种情况下,拉格朗日方法是一个明智的选择,因为它们能够在一个不断变化的区域中跟踪材料点。粒子有限元法[1](Particle Finite Element Method,简称PFEM)就有能力捕捉到这种强烈的区域变形。在PFEM中,流体由一组粒子表示。在每一个时间步,这些粒子被三角化。在三角剖分上用有限元法求解守恒方程,得到各质点的速度。利用这个速度,粒子的位置被更新,从而产生一个变形的区域,可以在下一个时间步骤中再次进行三角剖分。重要的是要注意,仅仅对粒子进行三角化是不够的。事实上,在二维或三维中,对于一组点的边界并没有唯一的定义。因此,一种称为三角形的α形状的几何算法[2]被用来定义流体域的形状。由于该算法取决于三角剖分中元素的质量和大小,因此适当地调整网格是该方法成功的关键。在这项工作中,我们提出了一种方法来适应网格与质量的理论保证。该方法基于Delaunay细化策略[3],允许在保持高质量元素的同时调整网格。使用Delaunay精化技术的好处是双重的。首先,区域边界识别算法(α形)与Delaunay三角剖分密切相关
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信