Dimensionless Analysis of Segmented Constrained Layer Damping Treatments with Modal Strain Energy Method

被引:8
作者
Tian, Shitao [1 ,2 ]
Xu, Zhenbang [1 ]
Wu, Qingwen [1 ]
Qin, Chao [1 ]
机构
[1] Chinese Acad Sci, Changchun Inst Opt Fine Mech & Phys, Innovat Lab Space Robot Syst, 3888 Dong Nanhu Rd, Changchun 130033, Peoples R China
[2] Univ Chinese Acad Sci, 19A Yuquan Rd, Beijing 100049, Peoples R China
基金
中国国家自然科学基金;
关键词
FINITE-ELEMENT PREDICTION; WAVE-PROPAGATION; COMPOSITE BEAMS; VIBRATION; OPTIMIZATION; DESIGN; FREQUENCY; PLATE; NOISE;
D O I
10.1155/2016/8969062
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
Constrained layer damping treatments promise to be an effective method to control vibration in flexible structures. Cutting both the constraining layer and the viscoelastic layer, which leads to segmentation, increases the damping efficiency. However, this approach is not always effective. A parametric study was carried out using modal strain energy method to explore interaction between segmentation and design parameters, including geometry parameters and material properties. A finite element model capable of handling treatments with extremely thin viscoelastic layer was developed based on interlaminar continuous shear stress theories. Using the developed method, influence of placing cuts and change in design parameters on the shear strain field inside the viscoelastic layer was analyzed, since most design parameters act on the damping efficiency through their influence on the shear strain field. Furthermore, optimal cut arrangements were obtained by adopting a genetic algorithm. Subject to a weight limitation, symmetric and asymmetric configurations were compared. It was shown that symmetric configurations always presented higher damping. Segmentation was found to be suitable for treatments with relatively thin viscoelastic layer. Provided that optimal viscoelastic layer thickness was selected, placing cuts would only be applicable to treatments with low shear strain level inside the viscoelastic layer.
引用
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页数:16
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