基于动力特性识别的桥墩冲刷状态分析
[Abstract]:In order to improve the economy and convenience of scour depth monitoring of bridge piers, a theory of analysis of pier scour state based on dynamic feature recognition is proposed. Firstly, based on the natural vibration frequency and mode shape of the structure, the flexibility matrix of the bridge can be obtained by the reasonable selection and conversion. Based on the flexibility matrix of the structure, the "calculation of structural displacement difference", which reflects the directional stiffness of the bridge, is obtained and used as the identification parameter of the bridge pier scour. Furthermore, the theoretical quantitative correlation between the scour identification parameters and the scour depth of different piers is obtained by using the parameter analysis. At the same time, the actual dynamic characteristics and the actual values of the structures obtained during the bridge detection are used. And the relationship between the calculated structural displacement difference and the scour depth is obtained in advance, and the inversion depth of the bridge pier erosion is obtained. Finally, taking simply supported beam bridge as an example, a multi-direction pile-soil spring model is established based on the formula recommended by American Petroleum Institute (API) Code, and the scour behavior of pier is simulated by removing the corresponding spring element step by step. The application method and steps of the theory of scour state analysis based on dynamic characteristic identification are demonstrated, and the application premise of this method is given. The results show that the depth of erosion of bridge piers obtained by inversion has certain accuracy, and the coupling between multiple piers can be modified by fitting formula. This method can be used for qualitative and quantitative analysis of the scour state of bridge piers with the help of conventional bridge inspection projects. It has the advantages of strict and accurate calculation logic, convenient economic monitoring equipment, and on the basis of accurate identification of dynamic characteristics, The erosion depth of bridge piers can be accurately predicted.
【作者单位】: 东南大学交通学院;同济大学桥梁工程系;
【基金】:江苏省自然科学基金项目(BK20161417) 交通运输部建设科技项目(2013 318 223 380,2014 318 J14 250) 中央高校基本科研业务费专项资金项目(2242016R30023)
【分类号】:U442.32
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