Bridge natural frequency estimation by extracting the common vibration component from the responses of two vehicles
Bridge natural frequency estimation by extracting the common vibration component from the responses of two vehicles
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DOI：
10.1016/j.engstruct.2017.07.040
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发表时间：
2017-11-01
影响因子：
5.5
通讯作者：
Mizutani, T.
中科院分区：
文献类型：
--
作者：
Nagayama, T.;Reksowardojo, A. P.;Mizutani, T.
桥梁的固有频率是桥梁的基本特性之一。然而，大多数桥梁的固有频率仍然未知。如果对大量桥梁进行调查，通过安装在桥梁上的传感器测量加速度来识别固有频率是不切实际的。另一方面，从车辆在桥上行驶的加速度响应中检测频率的间接方法仍然存在困难。车辆响应包含各种分量，使得难以将桥梁频率与其他频率分量区分开。本研究提出了一种新的频率估计策略，利用两个车辆。其核心思想是桥梁振动，一个共同的振动分量中的多个车辆的响应，通过信号处理，包括交叉谱密度函数估计提取。采用车辆-桥梁相互作用（VBI）模型进行数值分析，以检查在各种条件下的算法性能。数值仿真结果证实了这种间接频率检测方法的可行性。然后进行了具有两个车辆的同步感测的实验研究。桥梁的第一固有频率已被确定在各种驱动速度组合，证明所提出的方法的性能。(C)2017爱思唯尔有限公司版权所有
Bridge natural frequencies are among fundamental properties of bridges. However, natural frequencies of most bridges remain unknown. Natural frequency identification through acceleration measurement with sensors installed on bridges is not practical if a large number of bridges are investigated. Indirect methods to detect the frequencies from the acceleration responses of a vehicle driving over bridges, on the other hand, still have difficulties. Vehicle responses contains various components, making it difficult to distinguish the bridge frequency from other frequency components. This study proposes new frequency estimation strategy utilizing two vehicles. The key idea is that bridge vibration, a common vibration component among responses of multiple vehicles, is extracted through signal processing involving cross-spectral density function estimation. Numerical analyses employing a vehicle-bridge interaction (VBI) model are conducted to examine the algorithm performance under various conditions. The numerical simulations have confirmed the feasibility of such indirect frequency detection. An experimental study featuring synchronized-sensing of two vehicles is then performed. The first natural frequency of the bridge has been identified under various driving speed combinations, demonstrating the performance of the proposed approach. (C) 2017 Elsevier Ltd. All rights reserved.