Study with topology optimization domains in two-dimensional algorithms

Paulo Henrique Lixandrão, K.C.L. Lixandrão, Nadia Chiampi, Nicole Stefane Kohler, Daniel Peza Tchernov, Mauro Machado de Oliveira
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引用次数: 1

Abstract

​Topological optimization is a numerical analysis technique used in many applications such as additive manufacturing, casting, industry, plastic automotive and others. Educational algorithms have been developed, mostly two-dimensional configuration and with well-defined domains, which clearly describe the various possibilities of boundary conditions found in structures. The aim of this study is to evaluate the domains of topological optimization in some two-dimensional cases and contribute for the training and insertion of students in research activities. For the optimization of the topology, pre-established educational codes were used, such as sigmund’s code, the finite element theory to define the meshes and generate the matrix with displacements and supports, through software such as MATLAB®. From the analysis of these domains, it was possible to verify that some educational algorithms do not work correctly as they should. The results of this study provided knowledge about the first optimization algorithms and the Evolution of their approaches to design the details of the numerical aspects of the code and its equations. Due to the facts mentioned it is concluded that it is important to know in detail the domains used in two-dimensional educational algorithms and to what extent each of the algorithms facilitates work with a specific boundary condition. In addition, the evaluation of two-dimensional algorithms and optimization of the approaches studied helped to consolidate and expand knowledge about technological development and software for analysis and simulations.
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研究用二维拓扑优化域的算法
拓扑优化是一种广泛应用于增材制造、铸造、工业、塑料汽车等领域的数值分析技术。教育算法已经开发出来,主要是二维结构和具有良好定义的域,它清楚地描述了结构中发现的各种边界条件的可能性。本研究的目的是在某些二维情况下评估拓扑优化的域,并为学生在研究活动中的训练和插入做出贡献。为了优化拓扑结构,使用了预先建立的教育代码,如西格蒙德代码,有限元理论来定义网格,并通过MATLAB®等软件生成具有位移和支撑的矩阵。通过对这些领域的分析,可以验证一些教育算法没有正常工作。本研究的结果提供了关于第一个优化算法的知识,以及他们设计代码及其方程的数值方面细节的方法的演变。由于提到的事实,得出的结论是,详细了解二维教育算法中使用的域以及每种算法在多大程度上有利于特定边界条件下的工作是很重要的。此外,对二维算法的评估和所研究方法的优化有助于巩固和扩展有关技术开发和分析与模拟软件的知识。
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