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Data Structure for Supporting Patch Refinement in Adaptive Isogeometric Analysis

机译:自适应等几何分析中支持补丁细化的数据结构

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摘要

Isogeometric Analysis (IGA) is relatively young computational method built on the assumption that Non-Uniform Rational B-Splines (NURBS) are used both for modelling curved objects and as the base functions for approximating unknown fields. While single patch IGA implementation is relatively easy, implementation of multi-patch IGA with local patch refinement is more difficult, especially with respect to providing flexible data structures. This paper describes the use of generic framework for handling mesh data (MOAB) to build flexible data structure supporting adaptive, multipatch version of IGA. The key issue of such data structure is an appropriate numbering of mesh vertices to help building projection operator between patches, that ensures continuity of geometry parametrisation. The paper presents the idea of special tagging of vertices and specific order of their enumeration that serves well this purpose.
机译:等轴测分析(IGA)是一种相对较年轻的计算方法,其假设是非均匀有理B样条线(NURBS)既用于建模弯曲对象,又用作近似未知场的基本函数。尽管单补丁IGA的实现相对容易,但是具有本地补丁优化的多补丁IGA的实现更加困难,尤其是在提供灵活的数据结构方面。本文介绍了使用通用框架处理网格数据(MOAB)来构建支持自适应,多补丁版本IGA的灵活数据结构。此类数据结构的关键问题是网格顶点的适当编号,以帮助在补丁之间构建投影算子,从而确保几何参数的连续性。本文提出了对顶点进行特殊标记以及对它们进行枚举的特定顺序的想法,该想法很好地达到了这一目的。

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