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Through-width Delamination Detection in Composite Laminates by Using Wavelet Analysis and Neural Networks

Author: ZhaoWei
Tutor: ChenHaoRan
School: Dalian University of Technology
Course: Engineering Mechanics
Keywords: Laminated composite structures Throughout the stratified Wavelet Analysis Neural Networks Damage diagnosis
CLC: O346.5
Type: Master's thesis
Year: 2006
Downloads: 179
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Abstract


Laminated composite structure because of its exceptional performance characteristics in use even in the manufacturing process there will be a variety of defects and damage , these defects and damage will cause structural weakening of the carrying capacity of the service period . The goal of the research work of the wavelet analysis and neural network used in laminated composite structures with delamination damage diagnosis . In this paper , the authors first introduced the research status of the isotropic and anisotropic material injury diagnosis , made ??a brief introduction to the basic theory of wavelet analysis and neural network algorithms and their associated research , summed up the wavelet analysis and neural network advantages and disadvantages , pointed out that the reason for injury diagnosis ; Secondly, the establishment of a cantilever plate with throughout the layered laminated composite plate dynamic analysis model by ANSYS numerical example of the typical structure , prove that the finite element method proposed in this paper reliability ; based on the discussion and analysis of a large number of non- injury with damage example , in the time domain using wavelet analysis of the corresponding dynamic response signals , effective diagnosis of the time due to the damage of laminated composite structures domain signal variation , while in a different location , the length contained throughout the single- layered and multiple runs through the laminated composite delamination modal characteristics of the structure , injury diagnosis using wavelet analysis to determine its location and size of the damage ; Finally , by the finite element method analysis of the stratification length and location of the natural frequency of the structure , modes of formation of the neural network training frequency sample library and application Matlab neural network toolbox , respectively. artificial neural network , by comparison of the simulation results of the proposed method can be applied to the layered laminated composite plate structure damage diagnosis . This study, the work of the National Natural Science Foundation of China project \

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CLC: > Mathematical sciences and chemical > Mechanics > Solid Mechanics > Strength theory > Damage theory
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