| 无线智能网络的钢结构疲劳损伤监测 |
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| 引用本文： | 崔定宇,B F Spencer Jr,辛克贵,刘宇飞.无线智能网络的钢结构疲劳损伤监测[J].重庆大学学报(自然科学版),2012,35(10):38-43. |
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| 作者姓名： | 崔定宇 B F Spencer Jr 辛克贵 刘宇飞 |
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| 作者单位： | 清华大学 土木工程系，北京 100084;伊利诺伊大学香槟分校，美国 61801;清华大学 土木工程系，北京 100084;清华大学 土木工程系，北京 100084 |
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| 基金项目： | 国家自然科学基金资助项目(50878117)；国家自然科学基金重点项目(51038006)；清华大学自主科研计划资助项目(2010081766) |
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| 摘 要： | 利用美国伊利诺伊大学结构健康监测项目组研制的应变无线智能传感器(SHM-S)结合雨流周期计数法，对钢结构疲劳寿命进行监测。通过分布式数据采集的办法，无线智能传感器将应变的振幅和均值用三维直方图进行传输，压缩原始应变数据，提高了信号传输的效率并降低了传感器发射的能源消耗，使长期疲劳寿命监测成为可能。通过钢结构悬臂梁实验验证了基于无线智能网络的钢结构疲劳寿命监测方法的可行性。
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| 关 键 词： | 健康监测 无线智能传感器 雨流周期计数 分布式数据采集 疲劳寿命 |
Fatigue monitoring of metallic structures by wireless smart sensor networks |
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| CUI Dingyu,B F Spencer Jr,XIN Kegui and LIU Yufei.Fatigue monitoring of metallic structures by wireless smart sensor networks[J].Journal of Chongqing University(Natural Science Edition),2012,35(10):38-43. |
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| Authors: | CUI Dingyu B F Spencer Jr XIN Kegui and LIU Yufei |
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| Institution: | Department of Civil Engineering, Tsinghua University, Beijing 100084, China;Department of Civil and Environmental Engineering, UIUC, Urbana 61801, USA;Department of Civil Engineering, Tsinghua University, Beijing 100084, China;Department of Civil Engineering, Tsinghua University, Beijing 100084, China |
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| Abstract: | Recent advanced sensor technology has enabled wireless smart sensor network (WSSN) for structural health monitoring (SHM). Because of many attractive features such as wireless communication, battery powered, on board computation, and low cost, the WSSN makes the dense array of sensors feasible for engineering practice.In this study, a method for fatigue life monitoring using wireless smart sensor networks is explored by implementing Rainflow cycle counting algorithm in the sensor network, which extracts the loading features including the number of each load cycles, amplitude and mean of strain.Instead of sending back raw strain data to basestation, only the onboard processed histogram of the strain data is transmitted, which tremendously reduces the amount of data and the associated energy consumption in the wireless smart sensor networks.In addition, the feasibility of the method is experimentally verified through lab-scale tests. |
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| Keywords: | structural health monitoring wireless smart sensor rainflow cycle counting decentralized data aggregation fatigue life |
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