基于AR模型与BP神经网络的网壳结构损伤识别方法研究
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摘要
针对网壳结构损伤识别中所面临的模态信息不完备、模态密集程度严重以及结构自由度巨大等困难,提出了一种基于时间序列自回归模型(AR模型)与BP神经网络的损伤识别方法.以凯威特型单层球面网壳为例,采用该方法识别损伤杆件位置.数值模拟结果表明,该方法具有较高的准确性和一定的抗噪性.进一步讨论了影响损伤识别结果精度的因素.研究表明,传感器的数目、布置位置对损伤识别结果有一定影响.
In order to overcome the difficulties of the damage identification for latticed shell structures,such as the modal information incompleteness,the mode intensity,and the low accuracy of modeling brought by the large freedom degrees,a methodology of structural damage identification based on autoregressive(AR)model and BP neural network was proposed.Taking a Kiewit latticed shell as an example,the methodology was used to identify the position of damaged members.The effectiveness and noise resistance of the method were validated by the results of numerical simulation.Furthermore,the study showed that the accuracy of damage detection was influenced by the number and the location of the sensors.
引文
[1]欧进萍.重大工程结构的累计损伤与安全度评定[C]∥走向21实际的中国力学—中国科协第9次“青年科学家论坛”报告文集.北京:清华大学出版社,1996:179-189.OU Jin-ping.The cumulative damage and safety assess-ment of great project structures[C]∥China Mechanics to The 21st Century-Report Corpus of The 9th‘Young Scientists Forum by China Association for Science and Technology.Beijing:Tsinghua University Press,1996:179-189.
    [2]纪卫红,宋玉普,梁冰.基于模态分析的网架损伤识别[J].沈阳建筑大学学报(自然科学版),2010,26(2):232-237.JI Wei-hong,SONG Yu-pu,LIANG Bing.Damage diagnosis in truss by modal analysis[J].Journal of Shenyang Jianzhu University(Natural Science),2010,26(2):232-237.
    [3]殷志祥,徐文杰,毛丽强.曲率模态小波法用于网壳结构损伤的识别和定位[J].地震工程与工程振动,2009,29(4):164-169.YIN Zhi-xiang,XU Wen-jie,MAO Li-qiang.Study on mode curvature and wavelet method for identifying and locating damage to reticulated shell structures[J].Journal of Earthquake Engineering and Engineering Vibration,2009,29(4):164-169.
    [4]李永梅,周冰,张微敬.基于模态应变能和小波分析方法的网壳结构损伤识别研究[J].空间结构,2012,18(4):24-29.LI Yong-mei,ZHOU Bing,ZHANG Wei-jing.Study on damage location to reticulated shell structures based on wavelet analysis of modal strain energy[J].Spatial Structures,2012,18(4):24-29.
    [5]闫维明,王卓,何浩翔.空间结构模态局部化和跃迁现象及分析[J].北京工业大学学报,2009,35(12):1624-1629.YAN Wei-ming,WANG Zhuo,HE Hao-xiang.Analysis of mode localization and transition in spatial structures[J].Journal of Beijing University of Technology,2009,35(12):1624-1629.
    [6]吴令红,熊晓燕.基于时间序列分析的结构损伤检测[J].煤矿机电,2009,30(4):71-75.WU Ling-hong,XIONG Xiao-yan.Structural damage detection based on time series analysis[J].Colliery Mechanical&Electrical Technology,2009,30(4):71-75.
    [7]倪博溢,萧德云.MATLAB环境下的系统辨识仿真工具箱[J].系统仿真学报,2006,18(6):1493-1496.NI Bo-yi,XIAO De-yun.System identification and simulation toolbox under MATLAB environment[J].Journal of System Simulation,2006,18(6):1493-1496.
    [8]马高,屈文忠,陈明祥.基于时间序列的结构损伤在线诊断[J].武汉大学学报(工学版),2008,41(1):81-85.MA Gao,QU Wen-zhong,CHEN Ming-xiang.Time series-based structural on-line damage detection[J].Engineering Journal of Wuhan University,2008,41(1):81-85.
    [9]杨杰,李爱群,缪长青.面向结构健康监测的神经网络性能分析与设计[J].工程力学,2008,25(7):74-78.YANG Jie,LI Ai-qun,MIU Chang-qing.Analysis and design of SHM-oriented neural networks[J].Engineering Mechanics,2008,25(7):74-78.
    [10]徐菁,李壮,刁延松.基于粒子群算法的大跨度空间结构监测系统中应变传感器最优布点研究[J].建筑钢结构进展,2013,15(1):57-64.XU Jing,LI Zhuang,DIAO Yan-song.Optimal placement of strain sensors for monitoring systems on reticulated shells using particle swarm optimization[J].Progress in Steel Building Structures,2013,15(1):57-64.

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