A strategy for improving the safety and strength of topologically optimized multi-material structures

被引:6
|
作者
Li, Yu [1 ,2 ]
Yuan, Philip F. [1 ]
Xie, Yi Min [2 ]
机构
[1] Tongji Univ, Coll Architecture & Urban Planning, Shanghai 200092, Peoples R China
[2] RMIT Univ, Ctr Innovat Struct & Mat, Sch Engn, Melbourne 3001, Australia
基金
澳大利亚研究理事会; 中国国家自然科学基金;
关键词
Multi-material topology optimization; Bi-directional evolutionary structural optimization (BESO); Multi-material bi-directional evolutionary structural optimization (MBESO); Steel-concrete structures; Composite structures; LEVEL SET METHOD;
D O I
10.1007/s10409-023-22134-x
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
This paper presents a new strategy to distribute two different materials for multi-material topology optimization. Extended from the bi-directional evolutionary structural optimization (BESO) method for a single material, the multi-material bidirectional evolutionary structural optimization (MBESO) method has been developed, which can effectively handle the topology optimization problems involving two materials like steel and concrete. However, in some special cases, overloading of part of the compressed material occurs in the multi-material structures designed by using the MBESO method. Aimed to solve this critical problem, a simple but effective strategy is proposed in this paper. In steel-concrete composite structures, for instance, the overloaded compressed concrete elements with exceedingly high stress are replaced with steel material. The small amount of steel material added to the highly compressed region can effectively reduce the maximum compressive stress of the concrete material to a safe level. The comparison between the original MBESO method and the improved strategy based on a series of two-dimensional and three-dimensional examples clearly demonstrates the effectiveness of the proposed strategy in enhancing the structural safety and strength of the topologically optimized composite structures. This distinctly different material distribution strategy shows its potential and value in multi-material topology optimization research and applications.
引用
收藏
页数:13
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