固体力学与飞行器总体设计

M-型皱褶芯材夹层板吸能性能研究

  • 周华志 ,
  • 王志瑾
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  • 南京航空航天大学航空宇航学院, 南京 210016
周华志,男,博士研究生。主要研究方向:飞行器结构设计、复合材料结构优化设计、新型轻质结构设计。Tel:025-84891791,E-mail:2543436974@qq.com

收稿日期: 2015-03-04

  修回日期: 2015-06-01

  网络出版日期: 2015-06-28

基金资助

江苏省普通高校研究生科研创新计划资助项目(KYLX_0298);中央高校基本科研业务费专项资金

Analysis of energy absorption capability of M-type folded core sandwich structure

  • ZHOU Huazhi ,
  • WANG Zhijin
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  • College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China

Received date: 2015-03-04

  Revised date: 2015-06-01

  Online published: 2015-06-28

Supported by

Funding of Jiangsu Innovation Program for Graduate Education(KYLX_0298);the Fundamental Research Funds for the Central Universities

摘要

作为先进复合材料夹层结构,皱褶夹层板是一种具有众多优点的新型夹层板结构。本文建立了带有缺陷的皱褶芯材有限元模型,对M-型皱褶芯材的能量吸收率和几何参数之间的关系进行了研究。压缩试验仿真结果与CELPACT项目中的试验结果相符。与蜂窝芯材相比,皱褶芯材在吸能性能上表现出了很大的优势,其能量吸收率是蜂窝芯材的两倍多。此外,本文采用响应面法获得了M-型皱褶芯材几何参数和吸能性能指标之间的关系。最后,以吸能性能最优为目标,采用拉丁超立方抽样(LHS)方法获得初始样本,以多目标非支配排序遗传算法(NSGA-Ⅱ)对皱褶芯材进行了优化。

本文引用格式

周华志 , 王志瑾 . M-型皱褶芯材夹层板吸能性能研究[J]. 航空学报, 2016 , 37(2) : 579 -587 . DOI: 10.7527/S1000-6893.2015.0168

Abstract

The folded core sandwich panel, as an advanced sandwich composite structure, is a new type sandwich structure and has a lot of advantages. In this paper, a finite element model of the folded core with imperfections is set up to study the relation between the energy absorption coefficient and the geometric characteristics of M-type folded core. The result of the dynamic compression test simulation agrees well with the experimental result in the CELPACT program. When compared with the ability of honeycomb core, the folded core shows great advantages in energy absorption ability. The energy absorption coefficient of the folded core is more than twice the coefficient of the honeycomb core. The relations between the energy absorption ability and the geometric characteristics of M-type folded core are studied with the help of the response surface method. Finally, an optimization based on the Latin hypercube sampling(LHS) and multi-objective non-dominated sorting genetic algorithm(NSGA-Ⅱ) is proceeded to obtain the folded core with the best energy absorption ability.

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