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Concurrent Design of Structures and Materials based on the Bi-directional Evolutionary Structural Optimization

机译:基于双向进化结构优化的结构与材料并发设计

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Different from the independent optimization of macrostructures or materials, a two-scale topology optimization algorithm is developed in this paper based on the bi-directional evolutionary structural optimization (BESO) method for concurrently designing a macrostructure and its composite microstructure. The objective is to minimize the mean compliance of the structure which is composed of a two-phase composite. The effective properties of the composite are calculated through the homogenization method and integrated into the finite element analysis of the structure. Sensitivity analysis for the structure and microstructure is conducted by the adjoint method. Based on the derived sensitivity numbers, the BESO approach is applied for iteratively updating the topologies for both the structure at the macro level and the microstructure of composite at the micro level. Numerical examples are presented to validate the effectiveness of the proposed optimization algorithm.
机译:不同于宏观结构或材料的独立优化,本文基于双向进化结构优化(BESO)方法,用于同时设计宏观结构及其复合微观结构的双级拓扑优化算法。目的是最小化由两相复合材料组成的结构的平均依从性。通过均化方法计算复合材料的有效性能,并集成到结构的有限元分析中。通过伴随方法进行结构和微观结构的灵敏度分析。基于导出的灵敏度数,应用FASO方法用于迭代地更新宏观水平的结构的拓扑以及在微观水平处的复合材料的微观结构。提出了数值例子以验证所提出的优化算法的有效性。

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