复杂结构损伤识别的广义子结构法

张育智; 李乔; 单德山

复杂结构损伤识别的广义子结构法

基金项目:

铁道部科技研究开发计划课题(Z2006-048)

西南交通大学青年教师科研起步项目资助(2007Q108).

详细信息

作者简介:
张育智(1978- ),男,讲师,博士,研究方向为桥梁结构损伤识别,电话:13608213202,E-mail:zyzswjtu@swjtu.edu.cn

计量
- 文章访问数: 2055
- HTML全文浏览量: 72
- PDF下载量: 595
- 被引次数: 0
出版历程
- 收稿日期: 2008-04-10
- 刊出日期: 2009-04-20

Identification Method of General Sub-structure for Damage Location of Complex Structures

摘要

摘要: 为实现对复杂结构损伤位置的识别,采用分步识别策略,将原结构划分为多个广义子结构,先进行广义子结构的识别,再进行损伤单元的识别.为克服广义子结构划分的主观性,提出了基于聚类分析的广义子结构划分方式.以悬臂桁架结构为数值算例,对比了3种划分方式的网络训练收敛情况以及网络对带噪声检验样本的识别结果.研究结果表明,按基于聚类分析的广义子结构划分方式构造的网络易于收敛,且对带噪声检验样本的正确识别率高于另外2种划分方式1%~5%.
- 损伤识别 /
- 广义子结构 /
- 神经网络 /
- 聚类分析
Abstract: In order to improve the identification effect for damage location of complex structures,a multi-step identification method was adopted.With this method,the damaged sub-structure can be found after a structure is decomposed into several sub-structures,then the damaged element in the sub-structure can be recognised.To solve the problem that the conventional modes to decompose a structure will lead to incorrect results,a decomposition mode of sub-structures based on a clustering analysis was put forward.Three decomposition modes were adopted by taking a suspension truss structure as an example.By comparing the training convergence and identification results of their neural networks with noise samples,the result shows that the decomposition mode of sub-structures based on a clustering analysis can make it easier to train neural networks,and compared with the other two decomposition modes,its correct identification rate increases by 1% to 5%.
- damage identification /
- general sub-structure /
- neural network /
- clustering analysis

HTML全文

参考文献(1)

CHUNG B Y,HYEONG J L.Substructural identification for damage estimation of structures[J].Structural Safety,1997,19(1):121-140.[2] KO J M,SUM Z G,NI Y Q.Multi-stage identification scheme for detecting damage in cable-stayed Kap Shui Mun bridge[J].Engineering Structures,2002,24(7):857-868.[3] 瞿伟廉,陈伟,李秋胜.基于神经网络技术的复杂框架结构节点损伤的两步诊断法[J].土木工程学报,2003,36(5):37-45.QU Weilian,CHEN Wei,LI Qiusheng.Two-step approach for joints damage diagnosis of framed structures by artificial neural networks[J].China Civil Engineering Journal,2003,36(5):37-45.[4] CHUNG B Y,BAHNG E Y.Substructural identification using neural networks[J].Computers Structures,2000,77(1):41-52.[5] 陈素文,李国强.基于BP网络的框架结构损伤的多重分步识别理论[J].地震工程与工程振动,2002,22(5):18-23.CHEN Suwen,LI Guoqiang.A muti-hierarchical damage identification approach based on BP network for frame structures[J].Earthquake Engineering and Engineering Vibration,2002,22(5):18-23.[6] 李忠献,杨晓明,丁阳.应用人工神经网络技术的大型斜拉桥子结构损伤识别研究[J].地震工程与工程振动,2003,23(3):92-99.LI Zhongxian,YANG Xiaoming,DING Yang.Research on substructural damage identification of large cable-stayed bridges using artificial neural networks[J].Earthquake Engineering and Engineering Vibration,2003,23(3):92-99.[7] 李国强,郝坤超,陆烨.框架结构损伤识别的两步法[J].同济大学学报,1998,26(5):483-487.LI Guoqiang,HAO Kunchao,LU Ye.Two-step approach for damage identification of frame structures[J].Journal of Tongji University,1998,26(5):483-487.[8] TOPLE K G,STUBBS N.Nondestructive damage evaluation of a structure from limited modal parameters[J].Earthquake Engineering and Structural Dynamics,1995,24(11):1427-1436.[9] 楼梦麟.结构动力分析的子结构方法[M].上海:同济大学出版社,1997:71-103.[10] 张育智.基于神经网络与数据融合的结构损伤识别理论研究[D].成都:西南交通大学土木工程学院,2007:72-94.[11] 张云涛,龚玲.数据挖掘原理与技术[M].北京:电子工业出版社,2004:49-59.

施引文献

附加材料(0)

访问统计

点击查看大图

计量

文章访问数: 2055
HTML全文浏览量: 72
PDF下载量: 595
被引次数: 0

复杂结构损伤识别的广义子结构法

作者简介: 张育智(1978- ),男,讲师,博士,研究方向为桥梁结构损伤识别,电话:13608213202,E-mail:zyzswjtu@swjtu.edu.cn

计量

出版历程

Identification Method of General Sub-structure for Damage Location of Complex Structures

计量

出版历程

目录

作者简介:
张育智(1978- ),男,讲师,博士,研究方向为桥梁结构损伤识别,电话:13608213202,E-mail:zyzswjtu@swjtu.edu.cn