基于动力有限元分析和神经网络技术的含分层复合材料层合板的损伤诊断

英文篇名：DELAMINATION DETECTION IN COMPOSITE LAMINATES USING DYNAMIC FINITE ELEMENT ANALYSIS AND NEURAL NETWORKS
中文刊名：玻璃钢/复合材料
英文刊名：Fiber Reinforced Plastics/Composite
作者：庄小燕 ; 陈浩然
英文作者：ZHUANG Xiao-yan ; CHEN Hao-ran (State Key Laboratory of Structural Analysis of Industrial Equipment ; Dalian University of Technology ; Dalian 116023 ; China)
中文关键词：分层损伤诊断 ; 非线性动力有限元法 ; 神经网络 ; 复合材料层合板
英文关键词：delamination detection ; nonlinear dynamic finite element analysis ; neural network scheme ; composite laminates
出版日期：2004-09-28
机构：大连理工大学工业装备结构分析国家重点实验室,大连理工大学工业装备结构分析国家重点实验室大连116024 ,大连116024
年：2004
期：05
出版单位：玻璃钢/复合材料

摘要

本文基于作者提出的含层间分层损伤层合板的动力有限元分析模型和方法 ,计算了分层长度和位置对含层间分层损伤层合板结构的固有频率的影响 ,然后应用MATLAB的神经网络工具箱建立了人工神经网络 ,通过典型结构的仿真结果比较 ,证明了采用有限元动力分析和BP网络技术相结合的方法是一种可用于复合材料层合板的分层损伤诊断的有效方法。
A strategy for detecting delamination of composite laminates is proposed in this paper, which is based on the dynamic finite element method in conjunction of neural networks scheme. Firstly the influences of the length and location of delamination upon the natural frequency of the composite laminates are calculated by a nonlinear dynamic finite element method for the delaminated composite laminates developed by authors. Then,the back propagation (BP) neural network in the Toolbox of MATLAB software is established for training and testing the network. From the simulating results it can be shown that the present strategy is efficient for detecting delamination of the composite laminates.

引文

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