Optimization of constrained layer damping cylindrical shell based on multi-objective genetic algorithm

被引：0

作者：

Shi, Hui-Rong ^{[1
]}

Luo, Guan-Wei ^{[1
]}

Gao, Pu ^{[1
]}

Li, Zong-Gang ^{[1
]}

Zhang, Jun-Ping ^{[1
]}

机构：

[1] School of Mechatronic Engineering, Lanzhou Jiaotong University, Lanzhou

来源：

Chuan Bo Li Xue/Journal of Ship Mechanics | 2015年 / 19卷 / 1-2期

关键词：

Constrained layer damping; Cylindrical shell; Multi-objective genetic algorithm; Optimization design; Vibration;

D O I：

10.3969/j.issn.1007-7294.2015.h1.019

中图分类号：

学科分类号：

摘要：

Based on the multi-objective genetic algorithm, an optimization design method is proposed to improve the vibration damping characteristics of passive constrained layer damping cylindrical shell and solve the rational distribution problem of the constrained layer damping. A multi-objective function is established, in which the objective of optimization is the loss factor of the first two modes and the mass ratio of constrained layer damping material, and the design variables are the thickness of the constraint layer, the damping layer and the shear modulus of the viscoelastic material. The proposed method finds the true Pareto front by using the genetic algorithms and avoids the direct calculation of objective function. By analyzing and comparing the modal frequency changes and the amplitude-frequency response of cylindrical shell before and after optimization, the results show that the inherent characteristics of the cylindrical shell become worse if the introduced mass of damping materials is too much. In contrast, the structure optimized by this method introduces the less of damping materials and achieves the better vibration reduction. ©, 2015, China Ship Scientific Research Center. All right reserved.

引用

页码：169 / 175

页数：6

共 11 条

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