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约束阻尼结构的双向渐进拓扑优化
引用本文:房占鹏,郑 玲.约束阻尼结构的双向渐进拓扑优化[J].振动与冲击,2014,33(8):165-170.
作者姓名:房占鹏  郑 玲
作者单位:重庆大学 机械传动国家重点实验室,重庆 400044
基金项目:机械传动国家重点实验室科研业务费(0301002109165)
摘    要:针对约束层阻尼板的拓扑优化问题,以模态损耗因子最大化为目标函数,约束阻尼材料体积分数为约束条件,建立了约束阻尼板的拓扑优化模型。基于模态应变能方法,推导了目标函数对设计变量的灵敏度。采用双向渐进优化算法(BESO)对约束阻尼材料的布局进行了拓扑优化,获得了约束阻尼材料的最优拓扑构型,并与渐进优化算法(ESO)进行了比较。研究结果表明:双向渐进优化算法相比渐进优化算法,获得的模态损耗因子更高,阻尼减振效果更好。

关 键 词:约束阻尼    模态损耗因子    拓扑优化    双向渐进优化法  
收稿时间:2013-1-4
修稿时间:2013-5-3

Topology optimization for constrained layer damping material in structures using BESO method
FANG Zhan-Peng,ZHENG Ling.Topology optimization for constrained layer damping material in structures using BESO method[J].Journal of Vibration and Shock,2014,33(8):165-170.
Authors:FANG Zhan-Peng  ZHENG Ling
Affiliation:State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400044, China
Abstract:The topology optimization model is established to obtain an optimized layout of constrained layer damping material on the plate with Passive Constrained Layer Damping (PCLD) treatment. The maximum of modal loss factor is considered as the objective function to enhance damping dissipation of this plate. The volume fraction of constrained layer damping material is selected as constrained condition in the model. The sensitivity of the objective function to design variables is deduced by using the modal strain energy method. The Bi-directional Evolutionary Structural Optimization (BESO) method is proposed to search the optimized layout of constrained layer damping material. The numerical example is illustrated to demonstrate the effectiveness of the proposed BESO method. The results are compared with that from the conventional Evolutionary Structural Optimization (ESO) method. It is demonstrated clearly that the proposed BESO method can achieve higher modal loss factor for the plate with PCLD treatment than conventional ESO method through an optimized layout of constrained layer damping material on the plate. The damping dissipation of the plate is enhanced and the effectiveness of the proposed BESO method is thus identified.
Keywords:constrained dampingmodal loss factortopological optimizationbi-directional evolutionary structural optimization
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