摘要
高铁站房形式多样,结构复杂,节点众多,其动力及静力特性的获取均有重要意义。本文分别采用基于结构动力性能及静力性能的传感器布置方法,对高铁站房加速度及应变传感器的布置规律进行了研究。针对高铁站房的结构特点,根据杆件位置将其分成主要构件及一般构件,构建位移控制目标函数,采用基于蒙特卡洛法的构件敏感性分析进行应变传感器优化布置,采用有效独立法进行加速度传感器优化布置。结果表明,对主体结构起到主要支撑作用的竖向构件以及水平构件的根部位置布置应变传感器,结构模态位移较大位置布置加速度传感器,体现了结构的模态特征。研究成果可为高铁站房及其他公共建筑的传感器优化布置提供参考。
High speed railway station building has various forms,complex structure and many joints,so it is important to obtain its dynamic and static characteristics.Therefore,in this paper,the sensor layout method based on the dynamic and static performance of the structure is used to study the layout of acceleration and strain sensors in high-speed rail station.According to the structural characteristics of high-speed railway station building,the components are divided into main components and general components in the light of the positions,and then the displacement control objective function is constructed.The sensitivity analysis method based on Monte Carlo method is used to optimize the layout of strain sensors,and the effective independence method is used to optimize the layout of acceleration sensors.The results show that strain sensors are arranged at the root of vertical members and horizontal members,and acceleration sensors are arranged at the position of larger modal positions,which reflects the modal characteristics of the structure.The research results can provide reference for the optimal sensor layout of high-speed railway station buildings and other public buildings.
作者
沈磊
张小福
李庆
张高明
胡健
钱基宏
申朝旭
Shen Lei;Zhang Xiaofu;Li Qing;Zhang Gaoming;Hu Jian;Qian Jihong;Shen Zhaoxu(China Railway Siyuan Survey and Design Group Co.Ltd,Wuhan 430063,China;China Academy of Building Research,Beijing 100013,China;National Engineering Research Center of Building Technology,Beijing 100013,China)
出处
《建筑科学》
CSCD
北大核心
2021年第1期75-81,共7页
Building Science
基金
国家重点研发计划(2016YFC0802205)
铁四皖科研课题(2018K139)。
关键词
高铁站房
健康监测
传感器布置
有效独立法
蒙特卡洛法
敏感性分析
high-speed rail station
health monitoring
sensor placement
effective independence method
monte carlo method
sensitive analysis
