摘要
为了准确测量结构的振动加速度,科学高效地判断振动是否引起使用者的不适和影响结构的正常使用,利用IEPE压电式传感器和微型电脑树莓派(Raspberry Pi),基于Python计算机编程语言设计一款智能惯性评估系统,同时将国内外结构人致振动舒适度评估标准写入该系统,使结构振动测量评估系统的成本和硬件尺寸最小化,并实现无线传输、快速处理数据和判断评估振动舒适度的功能。基于上述功能目标,以实验室人行桥为例与DASP工程版动态测试分析系统采集的加速度响应进行对比,幅值谱主频相对误差在0.02%~2.85%之间,验证了传感系统采集精度。以人行天桥、教学楼楼盖、住宅楼楼盖和宿舍楼楼盖为研究对象在人致激励作用下进行振动舒适度测试,结果表明:研制的智能惯性传感系统可高效、实时测量结构产生的加速度响应,并且可以准确判断振动舒适度,为研究人员提供可靠的振动舒适度评估结果。
In order to accurately measure the vibration acceleration of the structure and provide a scientific and efficient judgment for whether the vibration causes discomfort to the user and affects the normal use of the structure,an intelligent inertia evaluation system is designed by using IEPE piezoelectric sensor and microcomputer Raspberry Pi based on Python.The evaluation standards of human-induced vibration comfort of structures in China,the United States and Europe are all written into the system,which can minimize the cost and size This evaluation system can realize the functions of wireless transmission,data processing and vibration comfort evaluation rapidly.Based on the above functional objectives,taking the laboratory footbridge as a research object,com⁃pared with the acceleration response collected by the dynamic test and analysis system of DASP engineering version,the relative error of the main frequency of the amplitude spectrum is between 0.02%and 2.85%,which verifies the acquisition accuracy of the sensor system.Taking the pedestrian footbridge and the floor of the teaching building,residential building and dormitory as the re⁃search object to test the vibration comfort under human-induced excitation.The results show that the intelligent inertial sensing sys⁃tem can measure the acceleration response of the structure efficiently and in real time,and it can judge the vibration comfort accu⁃rately,which provides reliable evaluation results of vibration comfort for researchers.
作者
朱前坤
刘艺
崔德鹏
杜永峰
ZHU Qian-kun;LIU Yi;CUI De-peng;DU Yong-feng(Institute of Earthquake Protection and Disaster Mitigation,Lanzhou University of Technology,Lanzhou 730050,China)
出处
《振动工程学报》
EI
CSCD
北大核心
2023年第4期1024-1032,共9页
Journal of Vibration Engineering
基金
国家自然科学基金资助项目(52168041,51868046)
研究生教育质量工程项目(56-256017)。
关键词
人致振动
振动舒适度
树莓派
传感器
加速度
human⁃induced vibration
vibration comfort
Raspberry Pi
sensor
acceleration