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基于智能传感技术的广东科学中心隔震系统实时监测研究 被引量:11

Real time monitoring of isolation system of Guangdong science center based on intelligent sensor technology
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摘要 大型土木工程结构在建造和使用过程中,因各种自然或人为因素的作用,不可避免地会发生构件损伤,影响结构的安全和使用。采用无线智能传感技术对广东科学中心E区隔震结构开展了健康监测研究,建立结构安全状态的预测和评价方法,实现对该结构的实时监测。首先介绍广东科学中心E区巨型框架结构健康监测的重要性和意义,简要说明无线智能健康监测系统的组成、巨型柱下隔振支座的布置形式及广东科学中心E区巨型框架结构变形测点的布设。通过实测变形数据的统计分析方法研究环境温度变化对采用隔振技术的大跨度钢结构的影响,拟合温度与位移(应变)之间的线性关系,结果表明变形与温度的相关性较好,另外,结构变形还受其他相关因素的影响。在正常使用、支座屈服和极限条件的基础上,提出隔震体系变形的三级预警指标,并对相应的处置措施进行界定,实现E区隔震结构的实时监控。 The real time monitoring of District E of the Guangdong Science Center( GSC) is conducted. Based on the intelligent sensor technology,the predicting and evaluating methods for the safe state of the structure are set up. The importance of the structural health monitoring for District E of GSC is discussed. The frame of the wireless structural health monitoring system,as well as the arrangement of the gauging points in the isolation system,especially the isolation bearings under the huge columns,is demonstrated briefly. On the basis of statistical analysis of the measured data,the linear relation between the temperature and the deformation is established by studying the influence of ambient temperature on the large span steel structure with isolation system. The results of linear correlation analysis demonstrate that the linear relationship between ambient temperature and bearing displacement is preferable. Finally,based on the conditions of normal use,yield and ultimate states of isolation bearings,three levels of early-warning indexes of the base isolation system are determined,and the treatment measures for each level alarming are determined. By the proposed technique in this paper,the real time health monitoring of District E is achieved.
机构地区 广州大学
出处 《土木工程学报》 EI CSCD 北大核心 2014年第5期40-45,共6页 China Civil Engineering Journal
基金 广东省科技计划项目(2011A030200019) 广东省交通科技计划项目(2010-02-014)
关键词 隔震结构 环境温度 结构变形 智能传感技术 预警指标 实时监控 isolated structure environmental temperature deformation intelligent sensor technology warning index real time monitoring.
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