运营地铁隧道在线动力监测及时频特征分析
Time-Frequency Characteristics of Online Dynamic Monitoring of Operating Metro Tunnel
万灵 1黄强 2龚晓南 3荣耀 4周扬 5朱海涛4
作者信息
- 1. 江西省交通科学研究院有限公司 南昌,330200;南昌航空大学土木建筑学院 南昌,330063;浙江大学建筑工程学院 杭州,310058
- 2. 宁波大学岩土工程研究所 宁波,315211
- 3. 浙江大学建筑工程学院 杭州,310058
- 4. 江西省交通科学研究院有限公司 南昌,330200
- 5. 江西省天驰高速科技发展有限公司 南昌,330038
- 折叠
摘要
为了研究地铁隧道上部土层施工扰动下隧道结构的模态特征,对上海地铁12号线某盾构隧道进行了现场振动测试,分析了列车振动荷载作用下隧道结构时频域的特征变化规律,并基于自回归滑动模型(auto regressive moving average,简称ARMA)法提取了受土层扰动前后隧道结构的模态频率变化量.结果表明:盾构隧道结构呈现明显的中低频特性,主频域范围在0～200 Hz之间,列车振源的高频成分消散较快;受土层施工扰动后,隧道侧壁振动整体幅值和数据波动减小;隧道结构模态频率呈现减小的趋势,最大频率变化量为-2.935 Hz.研究结果可为复杂条件下隧道结构的模态识别及在役性能健康监测评估提供依据和支撑.
Abstract
The modal characteristics of the shield tunnel under the construction disturbance of the upper soil-layers are being studied,utilizing a shield tunnel of Shanghai Metro Line 12 as the engineering reference,in-site vibration tests of the shield tunnel are conducted to analyze the characteristic variation laws of the tunnel struc-ture in the time and frequency domain under the influence of train vibration loads based on the auto regressive moving average(ARMA)method.The results show that the shield tunnel structure displays distinct medium and low frequency characteristics,primarily within the 0～200 Hz frequency range,while the high-frequency components of train vibration source dissipate rapidly.Following soil layer construction disturbances,the overall amplitudes and data fluctuations of tunnel wall vibration are observed to decrease.The modal frequencies of the shield tunnel demonstrate a downward trend,with the maximum frequency variation noted at-2.935 Hz.This research offers a foundation and support for the modal identification of shield tunnel structure,as well as health monitoring and evaluation of operational performance under complex conditions.
关键词
地铁隧道/动力监测/时频特征/土层扰动/模态频率Key words
metro tunnel/dynamic monitoring/time-frequency characteristics/soil disturbance/modal fre-quency引用本文复制引用
基金项目
国家自然科学基金(52308402)
国家自然科学基金(52008214)
江西省交通厅科技项目(2021H007)
江西省交通厅科技项目(2021C0008)
宁波市自然科学基金(2023J083)
出版年
2024
NETL
NSTL
维普
万方数据