Bridge health monitoring using traffic-induced vibration analysis

本研究旨在建立一种利用交通诱发振动数据进行高架桥健康监测的结构识别方法。首先根据理论和经验的考虑，对桥梁可能的损伤形态进行了假设。然后，采用开发的车-桥相互作用分析程序，计算了某一损伤模式下的行车动力响应。当计算的响应与记录的响应相同时，这种损伤模式将是解决方案。然而，由于大量的损伤模式，很难确定确切的解决方案。因此，在该方法中，采用遗传算法的优化方法来识别损伤模式。研究结果表明，数值模型验证了该方法的可行性。

This research is intended to establish a structural identification approach to the health monitoring of viaducts using traffic-induced vibration data. The possible damage patterns of the bridge are assumed according to theoretical and empirical considerations at first. Then, the running vehicle-induced dynamic responses of the bridge under a certain damage pattern are calculated employing a developed vehicle-bridge interaction analysis procedure. When the calculated response is identical to the recorded one, this damage pattern will be the solution. However, owing to the large number of damage patterns, it is difficult to identify the exact solution. Therefore in this approach, the optimization method of Genetic Algorithm is applied to identify the damage pattern. As a result of this research, the feasibility of the proposed approach is confirmed using numerical models.