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An IGA Framework for PDE-Based Planar Parameterization on Convex Multipatch Domains

机译:基于PDE的平面参数化的IGA框架凸多级畴

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The first step towards applying isogeometric analysis techniques to solve PDE problems on a given domain consists in generating an analysis-suitable mapping operator between parametric and physical domains with one or several patches from no more than a description of the boundary contours of the physical domain. A subclass of the multitude of the available parameterization algorithms are those based on the principles of Elliptic Grid Generation (EGG) which, in their most basic form, attempt to approximate a mapping operator whose inverse is composed of harmonic functions. The main challenge lies in finding a formulation of the problem that is suitable for a computational approach and a common strategy is to approximate the mapping operator by means of solving a PDE-problem. PDE-based EGG is well-established in classical meshing and first generalization attempts to spline-based descriptions (as is mandatory in IgA) have been made. Unfortunately, all of the practically viable PDE-based approaches impose certain requirements on the employed spline-basis, in particular global C~(≥1)-continuity. This paper discusses an EGG-algorithm for the generation of planar param-eterizations with locally reduced smoothness (i.e., with support for locally only C~0-continuous bases). A major use case of the proposed algorithm is that of multipatch parameterizations, made possible by the support of C~0-continuities. This paper proposes a specially-taylored solution algorithm that exploits many characteristics of the PDE-problem and is suitable for large-scale applications. It is discussed for the single-patch case before generalizing its concepts to multipatch settings. This paper is concluded with three numerical experiments and a discussion of the results.
机译:应用ISogeometic分析技术来解决给定域上的PDE问题的第一步包括在参数和物理域之间生成分析 - 合适的映射操作员,其与一个或多个贴片不超过物理域的边界轮廓的描述。多个可用参数化算法的子类是基于椭圆网格生成(鸡蛋)原理的子类,其在其最基本的形式中,尝试近似映射操作员,其逆函数由谐波函数组成。主要挑战在于找到适合于计算方法的问题的制定,并且共同的策略是通过解决PDE问题来近似映射运营商。基于PDE的鸡蛋在古典网格化中良好建立,并且已经制定了基于样条的描述的第一展示试图(在IgA中的强制性)。遗憾的是,所有基于PDE的方法都对所用的样条率施加了某些要求,特别是全局C〜(≥1) - Contility。本文讨论了一种蛋算法,用于产生具有局部减小的平滑度的平面参数 - 升降液(即,仅用于局部仅C〜0连续底座)。所提出的算法的主要用例是,通过C〜0连续的支持,可以实现多级参数化。本文提出了一种专门的泰勒化解决方案算法,利用PDE问题的许多特征,适用于大规模应用。在将其概念概括为多级设置之前,将讨论单个补丁案例。本文以三个数值实验结束,并讨论了结果。

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