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

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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

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参考文献(1)

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文章访问数: 2067
HTML全文浏览量: 78
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

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出版历程

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

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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