Identification of moving vehicle loads on bridges using time domain method and frequency-time domain method

Abstract

基于欧拉梁模型，本文利用时域法和频时域法由桥梁响应识别桥面移动车载并重点讨论了几个主要参数对识别结果的影响。这些参数包括模态数、采样频率、车速、响应测点位置和测点数等。结果表明：车桥试验室模型是成功的，用时域法和频时域法均能得到满意的识别结果，但以时域法实用性更强、精度更高，可以直接用于桥面移动车载识别的现场试验。 Based on the Euler-Beam theory, the moving vehicle loads on bridges were identified from the response of bridges using the Time Domain Method (TDM) and Frequency-Time Domain Method (FTDM). This paper aims to investigate the effect of various parameters on the two methods. These parameters include mode number, sampling frequency, vehicle speed, locations and numbers of measured stations. Assessment results show that the vehicle-bridge model in laboratory is successful. Both methods are effective and acceptable with higher accuracy, and the TDM is the preferred in-situ method with good feasibility and robustness.