基于主成分分析的温度敏感性结构损伤识别
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摘要
为了避免由于温度变化使损伤识别发生误判,通过小波包变换和多元统计分析中的主成分分析方法构造损伤指标DIT,剔除或减少温度对损伤特征参数的影响。以简支梁模型为例,考虑温度影响,通过上述方法构造损伤指标DIT和损伤上限值UL,再对不同损伤位置、不同损伤程度对损伤指标的影响进行分析,结果表明,使用该损伤指标可以有效提高温度敏感性结构损伤识别的可靠性。基于某藏式古建的长期动态监测系统,分析了传感器两年的数据,损伤指标DIT未超过损伤上限值,表明结构没有明显的损伤发展。
In order to avoid misjudgment of damage identification due to temperature changes,the wavelet packet transform and principal component analysis are used to construct damage indicator DITfor the purpose of eliminating or reducing the effect of temperature on the damage characteristics in the process of damage identification.A simple-supported beam is taken as research object,considering the temperature effect.Based on the methods mentioned above,the damage indicator DITand damage upper limit ULare constructed.Then,the impact of damage locations and degrees of damage on the damage indicator is analyzed.It shows that using the damage indicator proposed in this paper is able to improve the reliability of the damage identification of the temperature sensitivity structure effectively.Based on the analysis of two years′dynamic monitoring data of a Tibetan ancient building,it proves that the damage indicator DITdoes not exceed the damage upper limit and there is no obvious damage to the structure.
In order to avoid misjudgment of damage identification due to temperature changes,the wavelet packet transform and principal component analysis are used to construct damage indicator DITfor the purpose of eliminating or reducing the effect of temperature on the damage characteristics in the process of damage identification.A simple-supported beam is taken as research object,considering the temperature effect.Based on the methods mentioned above,the damage indicator DITand damage upper limit ULare constructed.Then,the impact of damage locations and degrees of damage on the damage indicator is analyzed.It shows that using the damage indicator proposed in this paper is able to improve the reliability of the damage identification of the temperature sensitivity structure effectively.Based on the analysis of two years′dynamic monitoring data of a Tibetan ancient building,it proves that the damage indicator DITdoes not exceed the damage upper limit and there is no obvious damage to the structure.
引文
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[11]王阳.殿堂式古建木构有限元分析与可靠度评估[D].北京:北京交通大学,2014.Wang Yang.Finite element analysis and reliability assessment of hall-style ancient wooden structure[D].Beijing:Beijing Jiaotong University,2014.
[12]丁幼亮,李爱群,缪长青.环境激励下基于小波包分析的结构损伤预警方法[J].应用力学学报,2008,(03):366-370.Ding Youliang,Li Aiqun,Miao Changqing.Structural damage alarming method based on wavelet packet analysis by ambent vibration test[J].Chinese Journal of Applied Mechanics,2008,(03):366-370.
[13]王济.MATLAB在振动信号处理中的应用[M].北京:中国水利水电出版社,2006.
[2]Peeters B,De Roeck G.One-year monitoring of the Z24-Bridge:environmental effects versus damage events[J].Earthquake Engineering&Structural Dynamics,2001,30(2):149-171.
[3]顾箭峰,邬晓光,姚玉玲.神经网络法剔除结构损伤检测中的温变影响[J].长安大学学报(自然科学版),2016,36(3):41-48.Gu Jianfeng,Wu Xiaoguang,Yao Yuling.Eliminating temperature influences in structural damage detection by using neural network[J].Journal of Chang′an University(Natural Science Edition),2016,36(3):41-48.
[4]李苗,黄天立,任伟新.温度影响下基于主成分分析和模态柔度的结构异常检测[J].振动与冲击,2011,30(5):83-87.Li Miao,Huang Tianli,Ren Weixin.Structural novelty detection under temperature variation based on PCAand modal flexibility[J].Journal of Vibration and Shock,2011,30(5):83-87.
[5]周伟.基于MATLAB的小波分析应用[M].西安:西安电子科技大学出版社,2010.
[6]常鹏,杨娜,张国培.多分辨率分析和小波能量曲率的框架结构损伤识别[J].哈尔滨工业大学学报,2016,48(6):170-176.Chang Peng,Yang Na,Zhang Guopei.Damage identification of the frame structure based on multi-resolution analysis and wavelet energy curvature[J].Journal of Harbin Institute of Technology,2016,48(6):170-176.
[7]Yan A M,Kerschen G,Boe P D,et al.Structural damage diagnosis under varying environmental conditions-Part I:A linear analysis[J].Mechanical Systems&Signal Processing,2005,19(4):847-864.
[8]Deraemaeker A,Reynders E,Roeck G D,et al.Vibration-based structural health monitoring using output-only measurements under changing environment[J].Mechanical Systems&Signal Processing,2008,22(1):34-56.
[9]吴云峰.温度敏感性结构基于小波包变换的损伤识别研究与应用[D].北京:北京交通大学,2017.Wu Yunfeng.Study and application on damage identification of temperature-sensitive structure based on wavelet packet transform[D].Beijing:Beijing Jiaotong University,2017.
[10]朱家军.温度效应作用下基于神经网络的简支梁桥损伤识别方法研究[D].长春:吉林大学,2015.Zhu Jiajun.Damage identification under temperature effect of simply supported bridge based on neural network[D].Changchun:Jilin University,2015.
[11]王阳.殿堂式古建木构有限元分析与可靠度评估[D].北京:北京交通大学,2014.Wang Yang.Finite element analysis and reliability assessment of hall-style ancient wooden structure[D].Beijing:Beijing Jiaotong University,2014.
[12]丁幼亮,李爱群,缪长青.环境激励下基于小波包分析的结构损伤预警方法[J].应用力学学报,2008,(03):366-370.Ding Youliang,Li Aiqun,Miao Changqing.Structural damage alarming method based on wavelet packet analysis by ambent vibration test[J].Chinese Journal of Applied Mechanics,2008,(03):366-370.
[13]王济.MATLAB在振动信号处理中的应用[M].北京:中国水利水电出版社,2006.