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基于遗传算法的约束阻尼梁减振优化分析 被引量:6

REDUCTION OF VIBRATION AND OPTIMIZATION OF BEAMS WITH CONSTRAINED LAYER DAMPING PATCH BASED ON GENETIC ALGORITHM
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摘要 约束阻尼结构能有效减振,但会增加结构的质量和体积,基于此有必要对其结构进行优化.本文应用有限元软件ANSYS建立增设支撑层的约束阻尼梁模型,根据模态应变能原理提取约束阻尼梁的模态损耗因子,并建立以阻尼段长度、约束层厚度、支撑层厚度、阻尼段数目为设计变量的目标函数,利用MATLAB多目标遗传算法进行优化运算.计算结果表明,优化后的约束阻尼结构能够在引入质量较小情况下有效减小梁振动幅度,使振动在较短的时间内衰减. Though the constrained layer damping can reduce the vibration effectively,it increases the weight and the size of the structure.Thereby an optimization of the constrained layer damping treatment is necessary. In this paper,a new model of the partial stand-off constrained layer damping patch is established in the finite element software ANSYS.Based on modal strain energy principles,the modal loss factor of the proposed model can be found.An objective function related to the modal loss factors is constructed.Its design variables include the number,the length and the spacing between of damping patches,the thickness of the stand-off layer and the constrained layer.By using the multi-objective genetic algorithm of MATLAB,the optimization is carried out. The results of examples show that after the optimization the constrained layer damping can reduce vibration more effectively with less additional weight and attenuate the vibration of the structure in a shorter period of time than before the optimization.
出处 《力学与实践》 CSCD 北大核心 2011年第4期13-16,共4页 Mechanics in Engineering
关键词 遗传算法 有限元 约束阻尼 优化 损耗因子 genetic algorithm finite element constrained layered damping optimization loss factor
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