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Multi-objective BESO topology optimization for stiffness and frequency of continuum structures

机译:连续结构刚度和频率的多目标BETO拓扑优化

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摘要

Topology optimization of structures seeking the best distribution of mass in a design space to improve the structural performance and reduce the weight of a structure is one of the most comprehensive issues in the field of structural optimization. In addition to structures stiffness as the most common objective function, frequency optimization is of great importance in variety of applications too. In this paper, an efficient multi-objective Bi-directional Evolutionary Structural Optimization (BESO) method is developed for topology optimization of frequency and stiffness in continuum structures simultaneously. A software package including a Matlab code and Abaqus FE solver has been created for the numerical implementation of multi-objective BESO utilizing the weighted function method. At the same time, by considering the weaknesses of the optimized structure in single-objective optimizations for stiffness or frequency problems, slight modifications have been done on the numerical algorithm of developed multi-objective BESO in order to overcome challenges due to artificial localized modes, checker boarding and geometrical symmetry constraint during the progressive iterations of optimization. Numerical results show that the proposed Multiobjective BESO method is efficient and optimal solutions can be obtained for continuum structures based on an existent finite element model of the structures.
机译:结构的拓扑优化,寻求设计空间中最佳质量分配的结构,以提高结构性能,降低结构的重量是结构优化领域最全面的问题之一。除了结构刚度作为最常见的目标函数之外,频率优化也非常重要。本文在同时开发了有效的多目标双向进化结构优化(BESO)方法,用于同时连续结构频率和刚度的拓扑优化。已经为利用加权函数方法的多目标BETO的数值实现而创建了一种包括MATLAB代码和ABAQUS FE解决者的软件包。同时,通过考虑优化结构在单目标优化中进行刚度或频率问题的弱点,已经在开发的多目标BEO的数值算法上进行了轻微的修改,以克服由于人工局部模式引起的挑战,在优化逐步迭代期间检查登机和几何对称约束。数值结果表明,基于结构的现有有限元模型,可以获得所提出的多目标BETO方法是有效的,最佳解决方案。

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