A multiobjective discrete combination optimization method for dynamics design of engineering structures  

作　　者：Wenjie Ding Yanchen Ji Haitao Liao Daining Fang 

机构地区：[1]Institute of Advanced Structure Technology,Beijing Institute of Technology,Beijing,China

出　　处：《International Journal of Mechanical System Dynamics》2022年第1期108-116,共9页国际机械系统动力学学报（英文）

基　　金：The National Natural Science Foundation of China,Grant/Award Number:11972082;supported by the National Science Foundation of China(No.11972082);the Beijing Institute of Technology Research Fund Program for Young Scholars,China.

摘　　要：This paper presents a new multiobjective discrete optimization method for the engineering design of dynamic problems.A discrete combinatorial optimization problem is solved using a particle swarm optimization algorithm coupled with a stair‐form interpolation model.To address multiobjective optimization issues,a weighted average approach is implemented to convert the multiobjective optimization problem into an equivalent single‐objective optimization problem.Design con-straints are taken into consideration by using the penalty function strategy.The proposed method is first verified with a 10‐bar truss structure design problem,where the cross‐sectional area of each bar is optimized to minimize both volume and node displacement.Second,the dynamic issue for hybrid composite laminates is investigated by maximizing the fundamental frequency and minimizing the cost.The results reveal that the optimized results generated by the proposed method agree well with those from other approaches.

关 键 词：multiobjective discrete optimization stair‐form interpolation model particle swarm optimization dynamic issue 

分 类 号：O17[理学—数学]