Drive-by bridge inspection using acceleration responses of a passing vehicle has great potential for bridge structural health monitoring. It is, however, known that the road surface roughness is a big challenge for the practical application of this indirect approach. This paper presents a new two-step method for the bridge damage identification from only the dynamic responses of a passing vehicle without the road surface roughness information. A state-space equation of the vehicle model is derived based on the Newmark-[Formula: see text] method. In the first step, the road surface roughness is estimated from the dynamic responses of a passing vehicle using the dual Kalman filter (DKF). In the second step, the bridge damage is identified based on the interaction force sensitivity analysis with Tikhonov regularization. A vehicle–bridge interaction model with a wireless monitoring system has been built in the laboratory. Experimental investigation has been carried out for the interaction force and bridge surface roughness identification. Results show that the proposed method is effective and reliable to identify the interaction force and bridge surface roughness. Numerical simulations have also been conducted to study the effectiveness of the proposed method for bridge damage detection. The vehicle is modeled as a 4-degrees-of-freedom half-car and the bridge is modeled as a simply-supported beam. The local bridge damage is simulated as an elemental flexural stiffness reduction. Effects of measurement noise, surface roughness and vehicle speed on the identification are discussed.The results show that the proposed drive-by inspection strategy is efficient and accurate for a quick review on the bridge conditions.

中文翻译：

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使用双卡尔曼滤波器的两步路桥损伤检测

使用过往车辆的加速度响应的路过桥梁检测在桥梁结构健康监测方面具有巨大潜力。然而，众所周知，路面粗糙度对于这种间接方法的实际应用是一个很大的挑战。本文提出了一种新的两步法桥梁损伤识别方法，该方法仅根据过往车辆的动态响应而无需路面粗糙度信息。基于Newmark-[公式：见正文]方法推导出车辆模型的状态空间方程。第一步，使用双卡尔曼滤波器 (DKF) 从过往车辆的动态响应中估计路面粗糙度。第二步，基于Tikhonov正则化的相互作用力敏感性分析识别桥梁损伤。实验室建立了带有无线监控系统的车桥交互模型。对相互作用力和桥梁表面粗糙度识别进行了实验研究。结果表明，该方法在识别相互作用力和桥梁表面粗糙度方面是有效且可靠的。还进行了数值模拟以研究所提出的桥梁损伤检测方法的有效性。车辆建模为 4 自由度半车，桥梁建模为简支梁。局部桥梁损伤被模拟为元素抗弯刚度降低。讨论了测量噪声、表面粗糙度和车速对识别的影响。