基于动力指纹的斜拉桥桥塔冲刷深度识别方法

发布时间：2018-06-29 03:52

本文选题：桥塔冲刷 + 斜拉桥　；参考：《湖南大学学报(自然科学版)》2017年11期

【摘要】：提出了一种基于动力指纹的斜拉桥桥塔冲刷深度识别方法.利用理论分析得到不同冲刷深度与所提出的动力指纹之间的定量关系;进而在常规桥梁检测中得到桥梁野外状态下的动力特性实测数据,通过反演分析利用预先得到的定量关系最终得到对应的桥塔冲刷深度.为研究该方法的适用性与可行性,分别提出全桥固有频率以及模态柔度位移两种动力指纹构成形式,并基于宁波招宝山大桥(斜拉桥),采用数值仿真的手段,分析两种动力指纹与冲刷深度之间的定量关系特征.分析结果表明:通过跟踪两种动力指纹变化情况,均可较好地对斜拉桥桥塔冲刷深度进行定量识别;特别采用主梁竖弯振型或主塔横弯振型构建模态柔度位移指标时可得到更为敏感的冲刷识别效果.该方法可借助常规桥梁检测项目对桥塔冲刷状态完成定性判断及定量分析,具备计算逻辑严密、监测设备经济性好、完全避免水下操作等特点,在上部结构动力特征正确识别的基础上,可实现斜拉桥桥塔冲刷深度的准确预测.
[Abstract]:A method for identifying the scour depth of a cable-stayed bridge tower based on dynamic fingerprint is proposed. The quantitative relationship between the different scour depth and the dynamic fingerprint is obtained by theoretical analysis, and the measured data of the dynamic characteristics in the field state of the bridge are obtained in the conventional bridge detection. Through inversion analysis, the corresponding scour depth of the bridge tower can be obtained by using the pre-obtained quantitative relationship. In order to study the applicability and feasibility of this method, two kinds of dynamic fingerprint forms, natural frequency and modal flexibility displacement, are put forward, and based on Ningbo Zhaobaoshan Bridge (cable-stayed bridge), numerical simulation is used. The quantitative relationship between the two dynamic fingerprints and the scour depth was analyzed. The results show that the scour depth of the tower of cable-stayed bridge can be quantitatively identified by tracking the changes of two kinds of dynamic fingerprints. In particular, a more sensitive scour identification effect can be obtained when the modal flexibility displacement index is constructed by using the vertical bending mode of the main beam or the transverse bending mode of the main tower. This method can be used for qualitative and quantitative analysis of the scour status of bridge tower with the help of conventional bridge inspection projects. The method has the advantages of tight calculation logic, good monitoring equipment economy and avoiding underwater operation completely. Based on the correct identification of the dynamic characteristics of the superstructure, the erosion depth of the tower of the cable-stayed bridge can be accurately predicted.
【作者单位】：东南大学交通学院;亚利桑那州立大学可持续工程与建筑环境学院;交通运输部公路科学研究所;西安建筑科技大学土木工程学院;
【基金】：国家自然科学基金资助项目(51208097) 交通运输部建设科技项目(2014 318J14 250) 江苏省自然科学基金资助项目(BK20161417) 中央高校基本科研业务费专项资金资助项目(2242016R30023)~~
【分类号】：U448.27

【相似文献】