连廊人致振动舒适度分析与机器视觉测试方法可行性研究

Feasibility Study on Comfort Analysis of Human-induced Vibration in Corridors and Machine Vision Testing Methods

摘要:

针对复杂连廊结构在人激荷载作用下的振动舒适度问题，以某学校教学楼的2 座混凝土结构连廊为研究对象，通过传统传感器法以及机器视觉法测试其多工况人行荷载激励下的横向以及竖向加速度时程，并利用快速傅里叶变换得到两座连廊的1阶自振频率，随后利用自振频率以及加速度时程数据分析其人致振动特性并评估振动响应。结果表明：机器视觉法可以较好满足廊桥振动测试要求，通过数据后处理得到的一阶自振频率以及各工况下加速度峰值与传统传感器法相比误差小于5%，证明该方法的合理性；同时，试验连廊的一阶自振频率远大于正常人行荷载频率且各工况下的加速度峰值数据均在正常范围以内，满足行人对于舒适度的要求，现场实测和分析的结果对此类人致振动舒适度评价应用具有参考价值。

Abstract:

Aiming at the vibration comfort problem of complex corridor structures under human-induced loads, taking two concrete structural corridors in the teaching building of a certain school as the research objects, the transverse and vertical acceleration time courses under multi-condition pedestrian load excitation are tested by the traditional sensor method and the machine vision method, and the first-order natural vibration frequencies of the two corridors are obtained by using the fast Fourier transform. Subsequently, the natural vibration frequency and acceleration time-history data are used to analyze the human-induced vibration characteristics and evaluate the vibration response. The results show that the machine vision method can better meet the requirements of the vibration test of the covered bridge. The first-order natural frequency obtained through data post-processing and the peak acceleration under each working condition have an error of less than 5% compared with the traditional sensor method, which proves the rationality of this method. Meanwhile, the first-order natural vibration frequency of the test corridor is much higher than the normal pedestrian load frequency, and the peak acceleration data under each working condition are all within the normal range, meeting the comfort requirements of pedestrians. The results of on-site measurement and analysis have the reference value for the application of such human-induced vibration comfort evaluation.