Structural optimization design of typical adhesive bonded sandwich T-joints based on progressive damage analysis and multi-island genetic algorithm

被引：8
作者：
Niu, Yiran [1 ]
Xu, Xiwu [1 ]
Guo, Shuxiang [1 ]
机构：
[1] Nanjing Univ Aeronaut & Astronaut, State Key Lab Mech & Control Mech Struct, Nanjing 210016, Peoples R China
来源：
JOURNAL OF SANDWICH STRUCTURES & MATERIALS | 2021年 / 23卷 / 08期
关键词：
Optimization; progressive damage analysis; adhesive bonded sandwich T-joints; MIGA algorithm; variable-thickness composite laminates; parametric modeling; DELAMINATION; COMPOSITES; BEHAVIOR; MODEL;
D O I：
10.1177/1099636220962278
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
This paper deals with the optimization of multi-laminate structures by Multi-Island Genetic Algorithm (MIGA) coupled with CAE solver. The optimization problem is a compound problem which relates to size optimization for object structure and stacking sequence optimization for variable-thickness composite laminates. Taking a typical adhesive bonded sandwich T-joint under a reference pull-off load as an instance object and establishing strength conditions on the basis of progressive damage analysis, optimum design is carried out with the total weight of joint as the target function. Progressive damage model (PDM) methodology and cohesive zone model (CZM) methodology are employed to develop an exact finite element model of the object structure. Classified failure criteria are chosen to investigate the capability of the joint in bearing the applied load. The optimization procedure on the typical adhesive bonded sandwich T-joint showed 34.24% weight reduction compared to the initial laminated structure. On the basis of history data, the study further brings out the influence of design variables on some main constraint variables.
引用
收藏
页码：3932 / 3965
页数：34
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