OpenFOAM® - Selected Papers of the 11th Workshop
OpenFOAM® - Selected Papers of the 11th Workshop
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OpenFOAM® - 第 11 届研讨会论文精选
DOI：
10.1007/978-3-319-60846-4_28
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发表时间：
2019
期刊：
影响因子：
--
通讯作者：
Daniels S
中科院分区：
文献类型：
--
作者：
Daniels S
几何参数化是形状优化的基本要求之一，并且在执行自动化过程时是一个具有挑战性的课题。在每次评估之间保持形状和网格质量的一致性至关重要，同时使用相同的几何参数化为各种形状提供灵活性。在此过程中，网格对几何形状变化的敏感性必须保持在最低限度。本贡献回顾了 OpenFOAM$$^{\textregistered }$$ 框架中可用的网格畸变和再生方法，可用于形状优化。本贡献的目的是比较这些方法在自动化过程中的有效性，并提供改进建议。特别关注涉及形状优化的三个主要因素：模型抽象的自动化、网格变形或再生的自动化以及鲁棒性。
Parametrisation of the geometry is one of the essential requirements in shape optimisation, and is a challenging subject when carrying out a automated procedure. It is critically important to maintain the consistency of the shape and grid quality between each evaluation, while providing flexibility for a wide range of shapes using the same parameterisation of the geometry. The sensitivity of the grid to the changes to the geometry must be at a minimum during this process. This contribution presents a review of the grid distortion and regeneration methods available within the OpenFOAM$$^{\textregistered }$$ framework which can be utilised for shape optimisation. The objective of this contribution is to compare the effectiveness of these methods in the automated procedure and to provide suggestions for improvements. Special attention is given to three major factors involving shape optimisation: automation of model abstraction, automation of grid deformation or regeneration and robustness.