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Data Structure for Supporting Patch Refinement in Adaptive Isogeometric Analysis

机译:适应性异步分析中支持补丁细化的数据结构

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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:ISogeometric分析(IGA)是对假设非均匀Rational B样条(NURBS)用于建模曲面对象和作为近似未知字段的基本功能的假设的相对年轻的计算方法。虽然单个贴片IGA实现相对容易,但具有本地补丁改进的多贴片IGA的实现更加困难,特别是关于提供灵活的数据结构。本文介绍了使用通用框架来处理网格数据(MOAB),以构建支持Adapive,多重版IGA的灵活数据结构。此类数据结构的关键问题是网眼顶点的适当编号,以帮助构建块之间的投影运算符,这确保了几何参数化的连续性。本文介绍了顶点的特殊标记和其枚举的特定顺序的想法,这些目的提供了很好的服务。

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