Bridge influence surface is an important tool to study the bridge responses under the moving loads, which contains tremendous structural information. The structural deterioration during the service life would induce the variation of the bridge influence surface, which makes it essential to identify the influence surface exactly from the field measured data under moving vehicle loads. This paper firstly summarizes current development of bridge influence surface identification methods and classifies the methods in which the vehicle is respectively equivalent to line loads and concentrated loads. After that, the actual spatial distribution of the vehicle load is considered, based on which a new identification method is presented to solve the boundary problem of current influence surface identification methods. Then a numerical slab model with two fixed ends is illustrated to prove the validity of the method, and the accuracy and identifiable region of different methods in this condition are compared with the other methods. Influence factors of identification accuracy including noise level, axle number of vehicle and loading point are analyzed. Finally, laboratory verification using the same slab model is prepared to verify the effectiveness of the proposed identification method. Results of this study provide an effective identification method of bridge influence surface with very high identification accuracy, which can be used to full bridge influence surface test.

中文翻译：

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考虑车辆荷载空间效应的桥梁影响面识别方法

桥梁影响面是研究移动荷载作用下桥梁响应的重要工具，它包含了大量的结构信息。使用寿命期间的结构劣化会引起桥梁影响面的变化，这使得在移动车辆载荷下根据现场测量数据准确识别影响面变得至关重要。本文首先总结了桥梁影响面识别方法的发展现状，并对车辆分别等效于线荷载和集中荷载的方法进行了分类。之后，考虑车辆载荷的实际空间分布，在此基础上提出一种新的识别方法来解决目前影响面识别方法的边界问题。然后通过一个具有两个固定端的数值板模型来证明该方法的有效性，并与其他方法在这种情况下不同方法的精度和可识别区域进行了比较。分析了影响识别精度的因素，包括噪声级、车辆轴数和加载点。最后，准备使用相同的板模型进行实验室验证，以验证所提出的识别方法的有效性。研究结果为桥梁影响面的识别提供了一种有效的识别方法，识别精度非常高，可用于全桥影响面测试。分析了影响识别精度的因素，包括噪声级、车辆轴数和加载点。最后，准备使用相同的板模型进行实验室验证，以验证所提出的识别方法的有效性。研究结果为桥梁影响面的识别提供了一种有效的识别方法，识别精度非常高，可用于全桥影响面测试。分析了影响识别精度的因素，包括噪声级、车辆轴数和加载点。最后，准备使用相同的板模型进行实验室验证，以验证所提出的识别方法的有效性。研究结果为桥梁影响面的识别提供了一种有效的识别方法，识别精度非常高，可用于全桥影响面测试。