Dispersive waves in fluid‐loaded, multilayer, composite plates with lossy material

1993 ◽  
Vol 93 (4) ◽  
pp. 2334-2334
Author(s):  
M. Kim ◽  
Y. F. Hwang
2016 ◽  
Vol 54 (12) ◽  
pp. 1535-1548
Author(s):  
Olga Bitkina ◽  
Jang-Ho Lee ◽  
Ki-Weon Kang ◽  
Elena Darlington

Composite structure design experience has demonstrated that use of the finite element method during the first stage of the design process is unfounded and that analytical methods to determine the stress–strain state are needed for more accurate calculations. Therefore, an analytical model of the stress–strain state of multilayer composite plates under the influence of temperature, technological, and power loads with different boundary conditions around four boundaries of a rectangular plate was developed. This model enables the solution of more than 240 different boundary value problems with a combination of the following boundary conditions: fixed, moving, hinged, and free edge. In the derivation of this mathematical analytic model, the Kirchhoff hypothesis was applied to the entire body of the anisotropic medium for the interconnected deflection and bending in the plate plane. The resulting equation is an octic linear partial differential equation to express the generalized function of movements.


1983 ◽  
Vol 15 (6) ◽  
pp. 824-828
Author(s):  
V. F. Potapova ◽  
I. A. Kozlov ◽  
V. M. Leshchenko

1990 ◽  
Vol 26 (1) ◽  
pp. 64-70 ◽  
Author(s):  
I. G. Teregulov ◽  
E. S. Sibgatullin

2005 ◽  
Vol 11 (5) ◽  
pp. 607-625 ◽  
Author(s):  
Z. Wei ◽  
L. H. Yam ◽  
L. Cheng

A procedure for damage detection in multilayer composites is described using model-based neural networks and vibration response measurement. The appropriate finite element model is established to generate the training data of neural networks. Internal delaminations with different sizes and locations are considered as the particular damage scenarios in multilayer composite plates. The damage-induced energy variation of response signal is investigated, and the mechanism of mode-dependent energy dissipation of composite plates due to delamination is revealed. In order to obtain the structural dynamic response of the samples, impulse forced vibration testing is conducted using a piezoelectric patch actuator and an accelerometer. To enhance the sensitivity of damage features in the vibrating plate, the damage-induced energy variation of the response signal decomposed by wavelet packets is used as the input data of backward propagation neural networks for the prediction of delamination size and location. The test results show that the proposed method is effective for the assessment of delamination status in composites.


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