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Structural condition assessment of long-span suspension bridges using long-term monitoring data

ISSN号：1671-3664
期刊名称：《地震工程与工程振动：英文版》
时间：0
分类：TP274.2[自动化与计算机技术—控制科学与工程;自动化与计算机技术—检测技术与自动化装置] U448.25[建筑科学—桥梁与隧道工程;交通运输工程—道路与铁道工程]
作者机构：[1]Key Laboratory of Concrete ＆ Prestressed Concrete Structures of Ministry of Education, Southeast University, Nanjing 210096, China
相关基金：Supported by： National Natural Science Foundation of China Under Grant No. 50725828 ＆ No. 50808041; PhD Programs Foundation of Ministry of Education of China Under Grant No. 200802861011 ; Scientific Research Foundation of Graduate School of Southeast University Under Grant No. YBJJ0923 Received February 27, 2009; Accepted July 30, 2009

关键词：大跨度悬索桥, 状态评估, 结构状况, 监测数据, 结构健康监测系统, 环境温度, 季节性变化, 测量频率, structural health monitoring, modal frequency, beam-end displacement, temperature, seasonal correlation suspension bridge

中文摘要：

这份报纸集中于用监视系统的结构的健康测量的长期的监视数据开发一种联机结构的条件评价技术。为 Runyang 暂停桥的频率温度和横梁结束排水量温度的季节的关联首先被执行。然后，用一个六顺序的多项式的一种统计建模技术进一步被使用提出频率温度和排水量温度，测量频率和排水量的反常变化用吝啬的价值控制图表从被检测的关联。分析结果证明更高的颤动模式和排水量的形式的频率与环境温度和建议方法展览有显著季节的关联为检测形式的频率和排水量的微导致损坏的变化的一个好能力。结果证明建议方法能有效地从频率和排水量时间系列消除温度复杂并发症并且很好适合长跨度的暂停桥监视的联机状况。监视的关键词结构的健康 - 形式的频率 - 横梁结束排水量 - 温度 - 季节的关联 - 暂停桥牌旁边支持了：在资助号码下面的中国的国家自然科学基础 50725828 与号码 50808041；不到资助号码 200802861011 的中国的教育部的博士节目基础；东南大学在下面的研究生院的科学研究基础资助没有。YBJJ0923

英文摘要：

This paper focuses on developing an online structural condition assessment technique using long-term monitoring data measured by a structural health monitoring system. The seasonal correlations of frequency-temperature and beam-end displacement-temperature for the Runyang Suspension Bridge are performed, first. Then, a statistical modeling technique using a six-order polynomial is further applied to formulate the correlations of frequency-temperature and displacement-temperature, from which abnormal changes of measured frequencies and displacements are detected using the mean value control chart. Analysis results show that modal frequencies of higher vibration modes and displacements have remarkable seasonal correlations with the environmental temperature and the proposed method exhibits a good capability for detecting the micro damage-induced changes of modal frequencies and displacements. The results demonstrate that the proposed method can effectively eliminate temperature complications from frequency and displacement time series and is well suited for online condition monitoring of long-span suspension bridges.

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