Algorithm for topology optimization of a structure made of anisotropic material with consideration of the reinforcement orientation parameters

Q3 Materials Science
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引用次数: 1

Abstract

Advanced design methods offer not only a number of methods of modeling structures but also quite profound optimization approaches. The topology optimization is one of such advantageous methods. There are several implementations of this type of structural analysis, but the most common option is to deal with the material density as a generalized parameter. The development of 3D printing technologies increases the interest in algorithms of this type. However, it mostly refers to printing with metal or plastic, which implies the material isotropy. Advances in continuous fiber printing systems and automatic placement machines using composite tapes make it possible for engineers to control not only a material’s position, but also to choose the local orientation of reinforcing elements. Such systems require optimization algorithms taking into account additional parameters characterizing the material anisotropy. In this case the traditional problem of the topology optimization should first be modified for the model of an orthotropic material with restrictions on the value of the angle of rotation of the reinforcement lines along the print path. In this paper, an idea of such a topology optimization algorithm is proposed, which is implemented using the Abaqus finite element modeling facilities, and examples of solving typical problems are considered.
考虑配筋方向参数的各向异性材料结构拓扑优化算法
先进的设计方法不仅提供了大量的结构建模方法,而且提供了相当深刻的优化方法。拓扑优化就是其中一种很有优势的方法。这种类型的结构分析有几种实现,但最常见的选择是将材料密度作为广义参数处理。3D打印技术的发展增加了对这类算法的兴趣。然而,它大多是指用金属或塑料印刷,这意味着材料各向同性。连续纤维打印系统和使用复合胶带的自动贴片机的进步使得工程师不仅可以控制材料的位置,还可以选择增强元件的局部方向。这种系统需要考虑表征材料各向异性的附加参数的优化算法。在这种情况下,传统的拓扑优化问题首先应该修正为正交各向异性材料模型,限制增强线沿打印路径的旋转角度值。本文提出了这种拓扑优化算法的思想,并利用Abaqus有限元建模工具实现了该算法,并考虑了典型问题的求解实例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
PNRPU Mechanics Bulletin
PNRPU Mechanics Bulletin Materials Science-Materials Science (miscellaneous)
CiteScore
1.10
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0.00%
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