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机构地区:[1]华南农业大学水利与土木工程学院,广东广州510640
出 处:《西安建筑科技大学学报(自然科学版)》2013年第2期199-208,共10页Journal of Xi'an University of Architecture & Technology(Natural Science Edition)
基 金:国家青年自然科学基金资助项目(51008129)
摘 要:随着工程结构的日益大型化和复杂化,振动测试时需要布置大量的传感器.传统的集中采集和处理的技术将难以胜任海量数据的分析要求,采用无线智能传感器的结构健康监测系统正是应运而生的新方向,而分布式采集和处理技术是密集布排的无线传感测试系统的必然要求.文中针对拱桥吊杆损伤的问题,以一钢管混凝土拱桥为平台建立数值模型,利用仿真技术模拟损伤前后振动测试,考虑不同网络拓扑情况,对不同损伤程度,以功率谱密度法进行了分布式识别分析.结果表明:分布式损伤识别技术能够成功识别拱桥吊杆损伤,并且该方法可以应用到其他大型复杂结构的健康监测和检测中.As the pervasive civil infrastructures are typically large and complex, the full potential of structural health moni- toring (SHM) requires the development of dense arrays of multi-scale sensors. However, the scale of a densely instrumented civil infrastructure will generate vast amounts of data, presenting a big challenge for conventional centralized pro cessing technique. Smart sensor networks (SSN) with on-board computation and wireless communication capabilities may offer great opportunities for SHM. Decentralized strategy is required to analyze in this system. For the damage of arch bridge hangers, A MATLAB finite element model of an arch bridge is served to analyze the distributed damage detecting algorithm. The vibration testing before and after damage is simulated to acquired accelerations to detect damage by using Power Spectral Density (PSD) in different topology size and different damage degree case. The results show that the distributed damage detection technology helps locate the damage of arch bridge hangers efficiently, and can be used on other large-scale structures with a large number of sensors.
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