倒频谱法在斜拉桥索力分析中的应用研究  

Inplementation of Cepstrum Analysis for Cable Force Analysis of Cable-Stayed Bridge

作　　者：贺博宙 邹兰林[1] HE Bo-zhou;ZOU Lan-lin(School of Automotive and Traffic Engineering,Wuhan University of Science and Technology,Hubei Wuhan 430065,China)

机构地区：[1]武汉科技大学汽车与交通工程学院,湖北武汉430065

出　　处：《机械设计与制造》2024年第3期6-10,共5页Machinery Design & Manufacture

基　　金：国家自然科学基金(51578430);国家自然科学基金(51827812)。

摘　　要：斜拉桥索力检测作为特大桥梁常规检测项目,应用非常广泛与频繁。现有常用检测方法为频率法,进行斜拉桥的索力检测过程中,经常会因拉索基频与塔台基频耦合,导致采集信号不理想,因而准确度较低,无法精准计算斜拉桥拉索索力。国外对于采样不理想的拉索进行分析时,通常利用多次采样或人工振动的方法来获取周期性更好的图像,操作繁琐并且精确度低,应用价值不高。因此,本研究针对采样信号不理想的问题采用倒频谱分析法对采集信号进行后处理。将复杂频谱图中的边频带转换为单条曲线,成功分离不同频率耦合的信号。通过对武汉二七长江大桥的实例分析验证,该索力检测法检验精度满足实际工程应用条件,且方法简便快捷,具有较高的实际应用价值。Cable-stayed bridge cable force testing is a routine testing item for super major bridges,and it is widely and frequently used.The current common detection method is the frequency method.In the process of cable-stayed bridge cable force detection,the fundamental frequency of the cable is often coupled with the fundamental frequency of the tower,resulting in unsatisfactory acquisition of signals,which results in low accuracy and inaccurate calculation of bridge cable force.When analyzing unsatisfac-tory cable samples abroad,multiple sampling or artificial vibration methods are usually used to obtain images with better period-icity.The operation is cumbersome and the accuracy is low,and the application value is not high.Therefore,in this study,the cepstrum analysis method is used to post-process the collected signals for the problem of unsatisfactory sampling signals.Convert the sidebands in the complex spectrogram into a single curve,and successfully separate signals coupled with different frequencies.Through the analysis and verification of an example of Wuhan Erqi Yangtze River Bridge,the inspection accuracy of the cable force detection method meets the actual engineering application conditions,and the method is simple and fast,and has high practical application value.

关 键 词：斜拉桥 索力检测 倒频谱 信号处理 MATLAB 

分 类 号：TH16[机械工程—机械制造及自动化]