INVERSION OF PARAMETERS FOR COMPOSITE INTERLAYER COHESIVE ZONE MODEL BY USING ARTIFICIAL BEE COLONY ALGORITHM

RAO YuWen; LIN RenBang; YANG YanZhi; YAN Gang

doi:10.16579/j.issn.1001.9669.2021.02.006

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INVERSION OF PARAMETERS FOR COMPOSITE INTERLAYER COHESIVE ZONE MODEL BY USING ARTIFICIAL BEE COLONY ALGORITHM

更新时间：2022-09-22

- INVERSION OF PARAMETERS FOR COMPOSITE INTERLAYER COHESIVE ZONE MODEL BY USING ARTIFICIAL BEE COLONY ALGORITHM
- Journal of Mechanical Strength Vol. 43, Issue 2, Pages: 287-292(2021)
- 作者机构：
  
  1. 南京航空航天大学机械结构力学与控制国家重点实验室
  2. 上海市空间飞行器机构重点实验室
- 作者简介：
- 基金信息：
- DOI：10.16579/j.issn.1001.9669.2021.02.006
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RAO YuWen, LIN RenBang, YANG YanZhi, et al. INVERSION OF PARAMETERS FOR COMPOSITE INTERLAYER COHESIVE ZONE MODEL BY USING ARTIFICIAL BEE COLONY ALGORITHM. [J]. 43(2):287-292(2021)
DOI：

RAO YuWen, LIN RenBang, YANG YanZhi, et al. INVERSION OF PARAMETERS FOR COMPOSITE INTERLAYER COHESIVE ZONE MODEL BY USING ARTIFICIAL BEE COLONY ALGORITHM. [J]. 43(2):287-292(2021) DOI： 10.16579/j.issn.1001.9669.2021.02.006.

摘要

内聚力模型在复合材料结构分层损伤评估中已得到广泛应用,准确获得内聚力模型的参数对评估结果有重要影响。对内聚力模型的参数反演进行了研究,通过复合材料双悬臂梁试验获取加载点载荷-位移数据信息,结合对应的有限元正演模型输出构建目标函数,采用人工蜂群算法优化识别出层间内聚力模型参数。数值仿真和试验结果表明,人工蜂群算法较遗传算法和粒子群算法具有良好的收敛性和寻优能力,并且有一定的抗噪能力,能够在不同测量噪声影响下优化反演出内聚力模型参数值,运用反演参数模拟得到的加载点载荷-位移数据与实际试验结果一致。

Abstract

Cohesive zone model（ CZM） is widely in used integrity evaluation for composites with delamination damage,and accurately obtaining the CZM parameters has important effects on the evaluation results. In this paper,the inversion of CZM parameters is studied,and double-cantilever beam（ DCB） tests are carried out to obtain the load-displacement data at the loading point. Combined with the outputs of the corresponding forward finite element（ FE） model,an objective function is constructed and artificial bee colony（ ABC） algorithm is employed to optimally identify the CZM parameters. Numerical and experimental results have demonstrated that,ABC algorithm has better convergence and optimization ability than genetic（ GA） algorithm and particle swarm optimization（ PSO） algorithm; it has certain anti-noise capability that can optimally obtain the CZM parameters under different levels of measurement noise,and the simulated load-displacement data with the inversely identified parameters match the actual test ones well.

关键词

内聚力模型参数反演人工蜂群算法双悬臂梁试验有限元仿真

Keywords

Cohesive zone modelParameter inversionArtificial bee colony algorithmDouble-cantilever beam testsFinite element simulation

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