[1]丁幼亮,李爱群,耿方方.考虑环境因素影响的悬索桥整体状态预警方法[J].东南大学学报(自然科学版),2010,40(5):1052-1056.[doi:10.3969/j.issn.1001-0505.2010.05.032]
 Ding Youliang,Li Aiqun,Geng Fangfang.Monitoring and warning of health conditions for suspension bridges under varying environmental conditions[J].Journal of Southeast University (Natural Science Edition),2010,40(5):1052-1056.[doi:10.3969/j.issn.1001-0505.2010.05.032]
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考虑环境因素影响的悬索桥整体状态预警方法()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
40
期数:
2010年第5期
页码:
1052-1056
栏目:
土木工程
出版日期:
2010-09-20

文章信息/Info

Title:
Monitoring and warning of health conditions for suspension bridges under varying environmental conditions
作者:
丁幼亮1 李爱群1 耿方方2
1 东南大学混凝土及预应力混凝土结构教育部重点实验室,南京 210096; 2 东南大学成贤学院,南京 210096
Author(s):
Ding Youliang1 Li Aiqun1 Geng Fangfang2
1 Key Laboratory of Concrete and Prestressed Concrete Structures of Ministry of Education,Southeast University,Nanjing 210096,China
2 Chengxian College, Southeast University,Nanjing 210096,China
关键词:
结构健康监测 结构损伤预警 模态频率 主成分分析 环境因素
Keywords:
structural health monitoring structural damage alarming modal frequency principal component analysis environmental condition
分类号:
TU311.41
DOI:
10.3969/j.issn.1001-0505.2010.05.032
摘要:
基于长期监测数据并采用主成分分析方法建立了润扬大桥悬索桥实测模态频率的环境条件归一化方法,有效地分离了环境因素变化对模态频率的影响,并在此基础上联合应用欧氏距离判别函数和假设检验方法识别模态频率的异常变化.分析表明,该方法可以识别出悬索桥模态频率0.1%的异常变化,具有较强的损伤敏感性,并且不需要监测环境因素变量,适用于悬索桥结构的在线监测与预警.此外,实测分析表明,悬索桥整体状态预警应选择非线性主成分分析方法并采用高阶模态频率作为监测参数.
Abstract:
Making use of long-term monitoring data of Runyang Suspension Bridge, the environmental-condition-normalized method for measured modal frequencies is formulated based on principal component analysis to effectively eliminate the influences of environmental conditions. The abnormal changes of measured frequencies are further detected by means of the euclidean distance function and hypothesis tests. Analysis results reveal that the proposed method provides a good capability for detecting the damage-induced 0.1% abnormal changes of the measured modal frequencies. And the proposed method needs no monitoring of environmental conditions and hence is suitable for real-time monitoring and warning of suspension bridges. In addition, the measured results indicate that the nonlinear principal component analysis is preferred for condition monitoring by using modal frequencies of higher vibration modes.

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备注/Memo

备注/Memo:
作者简介: 丁幼亮(1979—),男,博士,副研究员, civilding@163.com.
基金项目: 国家自然科学基金资助项目(50808041,50978056)、江苏省自然科学基金资助项目(BK2008312).
引文格式: 丁幼亮,李爱群,耿方方.考虑环境因素影响的悬索桥整体状态预警方法[J].东南大学学报:自然科学版,2010,40(5):1052-1056. [doi:10.3969/j.issn.1001-0505.2010.05.032]
更新日期/Last Update: 2010-09-20