Pre-shape calculus and its application to mesh quality optimization

Q4 Engineering Control and Cybernetics Pub Date : 2021-09-01 DOI:10.2478/candc-2021-0019
D. Luft, V. Schulz
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引用次数: 4

Abstract

Abstract Deformations of the computational mesh, arising from optimization routines, usually lead to decrease of mesh quality or even destruction of the mesh. We propose a theoretical framework using pre-shapes to generalize the classical shape optimization and calculus. We define pre-shape derivatives and derive corresponding structure and calculus theorems. In particular, tangential directions are featured in pre-shape derivatives, in contrast to classical shape derivatives, featuring only normal directions. Techniques from classical shape optimization and calculus are shown to carry over to this framework. An optimization problem class for mesh quality is introduced, which is solvable with the use of pre-shape derivatives. This class allows for simultaneous optimization of the classical shape objectives and mesh quality without deteriorating the classical shape optimization solution. The new techniques are implemented and numerically tested for 2D and 3D.
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预形演算及其在网格质量优化中的应用
摘要计算网格由于优化程序引起的变形,通常会导致网格质量下降甚至破坏。我们提出了一个使用预形的理论框架来推广经典的形状优化和微积分。我们定义了预形导数,并推导了相应的结构定理和微积分定理。特别是,切向在预形状导数中具有特征,而经典形状导数仅具有法线方向。从经典的形状优化和微积分技术被证明延续到这个框架。引入了一类网格质量优化问题,利用预形状导数对其进行求解。该类允许同时优化经典形状目标和网格质量,而不会恶化经典形状优化解决方案。新技术的实施和数值测试在二维和三维。
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来源期刊
Control and Cybernetics
Control and Cybernetics 工程技术-计算机:控制论
CiteScore
0.50
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0.00%
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0
期刊介绍: The field of interest covers general concepts, theories, methods and techniques associated with analysis, modelling, control and management in various systems (e.g. technological, economic, ecological, social). The journal is particularly interested in results in the following areas of research: Systems and control theory: general systems theory, optimal cotrol, optimization theory, data analysis, learning, artificial intelligence, modelling & identification, game theory, multicriteria optimisation, decision and negotiation methods, soft approaches: stochastic and fuzzy methods, computer science,
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