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Bionic inspired honeycomb structures and multi-objective optimization for variable graded layers

delete2022-09-16
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PRE
AI
牛小强 cover
牛小强 (Xiaoqiang Niu)
徐
徐峰祥 (Fengxiang Xu) *
Z
Zhen Zou
DOI:10.1177/10996362221127969delete
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Abstract

Abstract

En 中文
Bionic and gradient designs offer promising applications in honeycomb structures. The intersection unit of the beetle elytra is extracted as to enhance regular hexagonal honeycomb (RHH), and several bionic honeycombs are proposed. Finite element (FE) modeling approach is verified through formulae and experiments. Curves of force and displacement of bionic honeycombs present two prominent stages under medium- and low-speed impacts in plateau stage, and several bionic honeycombs exhibit a zero or negative Poisson's ratio. The specific energy absorption (SEA) of INT_6, whose crashworthiness is best in bionic honeycombs. A gradient design of INT_6 is implemented to further increase its crashworthiness. Multi-objective optimization design (MOD), which aims to simultaneously increase the SEA and reduce the peak crushing force, is adopted to determine the optimal parameters of each layer of graded INT_6. The SEA of the optimized graded INT_6 increase 142%, and its peak crushing force decrease by 25.4% compared with those of the INT_6.
Keywords:
Intersection unit of beetle elytra
honeycomb structures
bionic design
gradient design
multi-objective optimization

Journal

J
Journal of Sandwich Structures and Materials
IF:
2.8
Papers:
1.2K
Citations:
2.8K

Organization

W
Wuhan University of Technology
Scholars:
3.4W
Papers: 2.4W
Citations: 4.4W
Cited Papers

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