小波包能量传递率变异系数的斜拉桥损伤识别  

Damage identification of cable-stayed bridge based on wavelet packet energy transfer rate variation coefficient

作　　者：刘杰[1,2,3,4] 郑伟芸 刘庆宽 王海龙[2,5] 卜建清 Liu Jie;Zheng Weiyu;Liu Qingkuan;Wang Hailong;Bu Jianqing(State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures,Shijiazhuang Tiedao University,Shijiazhuang 050043,China;Hebei Key Laboratory of Diagnosis,Reconstruction and Anti-disaster of Civil Engineering,Zhangjiakou 075000,China;Innovation Center for Wind Engineering and Wind Energy Technology of Hebei Province,Shijiazhuang 050043,China;School of Civil Engineering,Shijiazhuang Tiedao University,Shijiazhuang 050043,China;Hebei Innovation Center of Transportation Infrastructure in Cold Region,Zhangjiakou 075000,China;School of Traffic and Transportation,Shijiazhuang Tiedao University,Shijiazhuang 050043,China)

机构地区：[1]石家庄铁道大学省部共建交通工程结构力学行为与系统安全国家重点实验室,河北石家庄050043 [2]河北省土木工程诊断改造与抗灾重点实验室,河北张家口075000 [3]河北省风工程和风能利用工程技术创新中心,河北石家庄050043 [4]石家庄铁道大学土木工程学院,河北石家庄050043 [5]河北省寒冷地区交通基础设施工程技术创新中心,河北张家口075000 [6]石家庄铁道大学交通运输学院,河北石家庄050043

出　　处：《土木工程学报》2023年第8期37-46,共10页China Civil Engineering Journal

基　　金：国家自然科学基金(51778381);河北省自然科学基金(E2018210044);河北省高端人才项目(冀办[2019]63号);河北省重点研发计划项目(19275405D)。

摘　　要：为减小频带范围选择的影响,同时实现斜拉桥的损伤定位与定量,提出了一种小波包能量传递率变异系数的斜拉桥损伤识别方法。该方法基于斜拉桥损伤识别的小波包能量传递率方法,经小波包能量传递率与变异系数融合、小波包能量传递率变异系数标准化处理与中心四阶矩的量化处理等推导出小波包能量传递率变异系数的损伤指标和损伤程度指标。通过斜拉桥仿真分析对所提方法的有效性进行验证,确定最优小波包基和层数,对实桥的动力响应进行小波包分解与重构,将所得数据作为输入得到实桥的损伤指标和损伤程度指标,进而判断实桥的损伤。设定主梁损伤工况并进行斜拉桥基准有限元模型环境激励下瞬态动力分析,提取主梁的加速度数据,结合实桥的实测数据进行实桥的损伤定位与定量。结果表明:仿真损伤定位识别精度100%,损伤程度识别精度96.80%;在高斯白噪声干扰下,对损伤定位没有影响,损伤程度的误差不超过2.85%,验证了所提方法在该桥的有效性;进行实桥的损伤识别,结果表明实桥无损伤。In order to minimize the impact of frequency band range selection and realize the damage positioning and quantification of cable-stayed bridge,a damage identification method of cable-stayed bridge based on wavelet packet energy transfer rate variation coefficient was proposed.The method was based on wavelet packet energy transfer method for damage identification of cable-stayed bridges.The damage index and damage degree index of wavelet packet energy transfer rate variation coefficient were derived through the integration of wavelet energy transfer rate and variation coefficient,the normalization of wavelet energy transfer rate variation coefficient and the quantification of central fourth moment.The effectiveness of proposed method was verified based on the cable-stayed bridge simulation analysis,so that the optimal wavelet packet basis and number of layers were determined;the obtained data was input to gain the damage index and damage degree index of real bridge,so as to judge the damage of real bridges.The damage case of the main girder was set and the transient dynamic analysis was carried out using the benchmark finite element model of cable-stayed bridge under environmental excitation to obtain the acceleration data of main girder.In combination with the measured data of real bridge,the damage positioning and quantification were conducted.The results indicate that:the simulation damage positioning identification has an accuracy of 100%and the damage degree identification has an accuracy of 96.80%.No influence is caused to damage positioning under the interference of White Gaussian Noise and the error of damage degree does not exceed 2.85%,verifying the effectiveness of proposed method for the bridge.The damage identification of real bridges indicated that real bridge had no damage.

关 键 词：斜拉桥 损伤识别 小波包能量传递率变异系数方法 小波分析 

分 类 号：U448.27[建筑科学—桥梁与隧道工程]