Damage identification of railway viaducts using train-bridge interaction analysis and soft computing methods

在发达国家基础设施维护日益重要的背景下，本研究旨在建立一种利用列车振动数据进行铁路高架桥健康监测的结构识别方法。在这种方法中，预先假设了可能的损伤模式，并使用开发的列车-桥梁相互作用分析程序模拟了桥梁的响应。如果计算出的损伤响应与记录的响应一致，则可以进行损伤识别。为了使该方法适用于实际结构，引入了软计算方法来简化和优化识别过程。研究结果表明，采用简单的模型验证了该方法的可行性。

Under the backgrounds that the maintenance of infrastructures becomes increasingly important in developed countries, this research is intended to establish a structural identification approach to the health monitoring of railway viaducts using train-induced vibration data. In this approach, possible damage patterns are assumed in advance and the bridge responses are simulated using a developed train-bridge interaction analysis procedure. If the calculated responses due to a certain damage pattern are identical to the recorded ones, then the damage can be identified. To make the proposed approach practicable to actual structures, soft computing methods are introduced to simplify and optimize the identification process. As a result of this research, the feasibility of the proposed approach is confirmed using simple models.