桁架结构疲劳监测的应变响应估计方法研究

任鹏; 周智; 白石; 欧进萍

doi:10.6052/j.issn.1000-4750.2017.05.0373

桁架结构疲劳监测的应变响应估计方法研究

doi: 10.6052/j.issn.1000-4750.2017.05.0373

任鹏¹,
周智^1,,
白石²,
欧进萍^1,3

1.
大连理工大学土木工程学院智能结构系统研究所, 大连 116024;
2.
智性纤维复合加固南通有限公司, 江苏, 南通 226000;
3.
哈尔滨工业大学土木工程学院, 哈尔滨 150090

基金项目: 国家高技术研究发展计划（863计划）项目（2014AA110401）

详细信息

作者简介:
任鹏(1984-),男,辽宁人,博士,主要从事结构安全监测研究(E-mail:renpeng@mail.dlut.edu.cn);白石(1981-),男,黑龙江,博士,主要从事结构新材料与加固工程研究(E-mail:stone3214@163.com);欧进萍(1959-),男,湖南人,教授,博士,博导,中国工程院院士,主要从事结构安全监测、控制与防灾减灾工程领域研究(E-mail:oujinping@dlut.edu.cn).

通讯作者:
周智(1973-),男,湖南人,教授,博士,博导,主要从事结构安全监测研究(E-mail:zhouzhi@dlut.edu.cn).

中图分类号: TU311.1
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出版历程
- 收稿日期: 2017-05-18
- 修回日期: 2018-01-27
- 刊出日期: 2018-09-29

RESEARCH ON A STRAIN RESPONSE ESTIMATION METHOD FOR TRUSS STRUCTURE FATIGUE MONITORING

1.
Dalian University of Technology, School of Civil Engineering, Dalian 116024, China;
2.
Zhixing FRP Reinforcement Nantong Co., Ltd, Nantong 226000, China;
3.
Harbin Institute of Technology, School of Civil Engineering, Harbin 150090, China

摘要

摘要: 传感节点数据的高效利用是结构健康监测领域的热点研究问题。由于高维护成本和恶劣服役条件，结构疲劳监测系统往往测点有限，难以覆盖易损区域。该文针对两种应变响应估计方法：增广卡尔曼滤波方法和应变传递率矩阵方法进行研究探讨，并通过典型桁架结构的数值案例和模型实验分析两种方法的影响因素和疲劳监测的适用性。结果表明：两种方法无需已知荷载信息或进行物理参数识别，能够在仅有某一子结构可测，以及一定测量噪声和建模误差干扰的条件下有效估计低频带的强迫振动响应。其中，应变传递率矩阵方法可在结构阻尼和质量未建模的情况下，利用简单的模型先验信息精确估计应变响应，该方法计算简便，因而更加适合现场的疲劳在线监测。
- 疲劳监测 /
- 卡尔曼滤波 /
- 传递率矩阵 /
- 应变监测数据 /
- 桁架结构 /
- 建模误差
Abstract: Making full use of the information from sensing nodes efficiently is an important and hot research field in structural health monitoring. Due to high maintenance costs and harsh service conditions, structural fatigue monitoring systems tend to have limited measuring points and be difficult to cover vulnerable areas. In this paper, two types of strain response estimation methods, that is, the augmented Kalman filtering and the strain transmissibility matrix are introduced and discussed. Numerical examples and demonstration tests of typical truss structures were conducted to investigate the influencing factors and the practicality of the two methods for fatigue monitoring. The results show that the two methods can effectively estimate the forced vibration responses at a low frequency band under the condition that only one substructure is measurable with a certain extent of measurement noise and modeling error, without having to know the load information or identify the physical parameters. It is noted that the strain transmissibility matrix method can accurately estimate the strain response with simple prior information of the model and fast computation capability without considering the structural damping and mass. Therefore, the strain transmissibility matrix method is more suitable for on-line fatigue monitoring.
- fatigue monitoring /
- Kalman filtering /
- transmissibility matrix /
- strain monitoring data /
- truss structure /
- modeling errors

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