МЕСHANICAL BEHA VIOR OF GRADED HONEYCOMB AND ITS MULTI-OBJECTIVE OPTIMAL DESIGN

CHEN BiMin; HUANG XiaoDi

doi:10.16579/j.issn.1001.9669.2024.01.014

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МЕСHANICAL BEHA VIOR OF GRADED HONEYCOMB AND ITS MULTI-OBJECTIVE OPTIMAL DESIGN

更新时间：2024-04-18

- МЕСHANICAL BEHA VIOR OF GRADED HONEYCOMB AND ITS MULTI-OBJECTIVE OPTIMAL DESIGN
- Journal of Mechanical Strength Vol. 46, Issue 1, Pages: 107-114(2024)
- 作者机构：
  
  1. 广东理工学院智能制造学院
- 作者简介：
- 基金信息：
- DOI：10.16579/j.issn.1001.9669.2024.01.014
  CLC： TH14
- Published：15 February 2024，
- 稿件说明：
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CHEN BiMin, HUANG XiaoDi. МЕСHANICAL BEHA VIOR OF GRADED HONEYCOMB AND ITS MULTI-OBJECTIVE OPTIMAL DESIGN. [J]. Journal of Mechanical Strength 46(1):107-114(2024)
DOI：

CHEN BiMin, HUANG XiaoDi. МЕСHANICAL BEHA VIOR OF GRADED HONEYCOMB AND ITS MULTI-OBJECTIVE OPTIMAL DESIGN. [J]. Journal of Mechanical Strength 46(1):107-114(2024) DOI： 10.16579/j.issn.1001.9669.2024.01.014.

摘要

梯度蜂窝因具有优异的力学性能及耐撞性受到了广泛的关注。以蜂窝的耐撞性指标为优化目标，在梯度蜂窝的设计空间内，直接采用多目标优化算法确定梯度蜂窝每层的具体参数。采用多目标优化设计方法将会得到多组最优的蜂窝梯度参数，这些参数形成一个解集，根据蜂窝不同的应用场景，可以选取合适的梯度参数。以正六边形蜂窝为研究对象，将均质蜂窝分成4层进行梯度优化设计。将 NSGA-II算法推荐的梯度蜂窝与均质蜂窝进行对比研究，结果表明，梯度蜂窝可以在小幅提高总吸能（

）与比吸能（

SEA

）的同时大幅改善初始峰值力（

PCF

），最大的改善程度达到78.51%，证明了采用这种方法进行梯度设计的优势。

Abstract

Gradient honeycombs have received extensive attention due to their excellent mechanical properties and crashworthiness. Taking the crashworthiness index of the honeycomb as the optimization goal

in the design space of the gradient honeycomb

the multi-objective optimization algorithm is directly used to determine the specific parameters of each layer of the gradient honeyeomb. Usually

multi-objective optimization design is used to obtain Pareto sets of optimal graded honeycomb. According to different application environment of graded honeycomb

appropriate graded honeycombs can be selected. The regular hexagonal honeycomb is ta

ken as the research object in this paper

and the homogeneous honeycomb is divided into 4 layers for next optimal design. That the graded honeycomb recommended by the NSGA-I algorithm is compared with the homogeneous honeycomb. The results show that the graded honeycomb can greatly improve the initial peak force (

PCF

) while slightly inereasing the total energy absorption (

) and specific energy absorption (

SEA

)

and the maximum improvement is 78. 51 %

which proves the advantage of using this method for gradient design.

关键词

蜂窝梯度设计多目标优化耐撞性最优解集

Keywords

HoneycombGradient designMulti-objective optimizationCrashworthinessOptimal solution set

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