MOE Key Laboratory of New Technology for Construction of Cities in Mountain Area, and School of Civil Engineering, Chongqing University, Chongqing 400045, China.
Horoy Property Group (Shenzhen) Co., Ltd., Shenzhen 518000, China.
Sensors (Basel). 2018 Nov 19;18(11):4035. doi: 10.3390/s18114035.
This paper presents two approaches for the structural damage identification of a bridge from the dynamic response recorded from a test vehicle during its passage over the bridge. Using the acceleration response recorded by the vibration sensors mounted on a test vehicle during its passage over the bridge, along with the computed displacement response, the bending stiffness of the bridge can be determined using either: (1) the frequency-domain method based on the improved directed stiffness method with the identified frequency and corresponding mode shape, or (2) the time-domain method based on the residual vector of the least squares method with a fourth-order displacement moment. By comparing the bending stiffness values identified from the vehicle-collected data for the bridge under the undamaged and damaged states that are monitored regularly by the test vehicle, the bridge damage location and severity can be identified. Through numerical simulations and field tests, the present approaches are shown to be effective and feasible.
本文提出了两种基于测试车辆在桥上行驶时记录的动态响应进行桥梁结构损伤识别的方法。利用测试车辆在桥上行驶时安装的振动传感器记录的加速度响应，以及计算出的位移响应，可以使用以下两种方法之一确定桥梁的弯曲刚度：（1）基于改进的有向刚度法和识别出的频率及相应模态形状的频域法，或（2）基于最小二乘法残差向量和四阶位移矩的时域法。通过比较测试车辆定期监测的未受损和受损状态下从车载数据识别出的桥梁弯曲刚度值，可以识别桥梁的损伤位置和严重程度。通过数值模拟和现场试验，证明了这些方法的有效性和可行性。
