华东交通大学学报2025，Vol.42Issue(6)：51-57,7.
斜拉索基于DD-ACMD的在线时变索力识别
Online Time-Varying Cable Force Identification of Stay Cables Based on DD-ACMD
摘要
Abstract
To achieve accurate online acquisition of time-varying cable forces in cable-stayed bridges,a new method for real-time identification of online time-varying cable forces is proposed based on the data-driven adap-tive chirp mode decomposition(DD-ACMD)algorithm.This method adopts the sliding window technique to up-date the vibration signal of the inclined cable,and determines its prior information and target modal components through the power spectrum density(PSD)analysis of the vibration signal.Afterwards,the DD-ACMD algo-rithm was used to identify the instantaneous frequency of the cable vibration,and the time-varying cable force of the inclined cable was calculated using the axial loading beam theory.The accuracy of the method was tested by a numerical case of inclined cable,and the results showed that the average error in identifying the time-varying cable forces under high noise level is 0.45%,with a maximum error of 1.84%.关键词
斜拉桥/结构健康监测/在线索力识别方法/滑动窗/功率谱密度分析Key words
cable-stayed bridge/structural health monitoring/online cable force identification method/sliding window/power spectral density analysis分类
交通工程引用本文复制引用
杨杰,卞涵禛,刘迅,林毅标,卓卫东..斜拉索基于DD-ACMD的在线时变索力识别[J].华东交通大学学报,2025,42(6):51-57,7.基金项目
福建省工业引导性(重点)项目(2023H0049) （重点）
