玻璃钢/复合材料Issue(9)：5-12,8.
纤维增强复合材料梁的分层损伤识别
VIBRATION-BASED DELAMINATION ASSESSMENT IN FIBER REINFORCED POLYMER BEAMS
摘要
Abstract
Delaminations in fiber reinforced polymer (FRP) beams were detected and assessed through the changes in natural frequencies before and after the damage occurred in beams.To assess the three delamination parameters,namely,the interface,lengthwise location and size,two different inverse algorithms,i.e.graphical technique and artificial neural network (ANN),were developed to inversely predict the delamination from a series of known frequency shifts.To verify the prediction efficiency and accuracy of the inverse algorithms,both numerical and experimental validation were conducted and the results were compared.The numerical validation results show that both algorithms can predict the delamination parameters successfully,although the accuracy of the graphical technique is noticed to be higher than that of the ANN.Experimental validation using the measured frequencies in literature shows that the graphical technique can predict the delamination with satisfactory accuracy using the measured frequencies which is noise polluted,while ANN is very sensitive to the experimental errors and can hardly predict the delamination with experimental data.In conclusion,it is recommended to use the graphical technique rather than artificial neural network to assess the delamination in FRP beam through frequency shifts.关键词
纤维增强复合材料梁/分层/损伤识别/直观图像法/人工神经网络Key words
FRP beam/delamination/damage detection/graphical technique/artificial neural network分类
通用工业技术引用本文复制引用
詹超,马晓静,张芝芳..纤维增强复合材料梁的分层损伤识别[J].玻璃钢/复合材料,2017,(9):5-12,8.基金项目
广东省自然科学基金项目(2016A030310261) （2016A030310261）
广东省科技计划项目(2016B050501004) （2016B050501004）
广州市属高校科技计划项目(1201431041) （1201431041）
