Estimation of bridge surface profile from moving vehicle accelerations by means of moving force identification - an experimental field study
Estimation of bridge surface profile from moving vehicle accelerations by means of moving force identification - an experimental field study
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DOI：
10.1504/ijlcpe.2019.103698
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发表时间：
2019-11
期刊：
影响因子：
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通讯作者：
K. Chang;Chul‐Woo Kim;S. Hasegawa;Shunsuke Nakajima;P. McGetrick
中科院分区：
文献类型：
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作者：
K. Chang;Chul‐Woo Kim;S. Hasegawa;Shunsuke Nakajima;P. McGetrick
路面轮廓的准确估计是公路桥梁检测和维护的重要问题。最近，提出了一种简单的方法来完成这项任务，即使用安装在非专用车辆上的有限数量的加速度计来根据车辆的加速度响应来估计路面轮廓。其可行性已通过多次数值模拟和实验室实验进行了初步测试，但现场实验验证尚未完成。本文对该方法在实践中实施的可行性进行了调查；为此，在一座40.5 m长的简支组合梁桥上进行了现场试验。测试车辆采用紧凑型SUV。在现场实验中，使用该方法以可接受的精度估计了路面轮廓，并识别了大多数波峰和波谷。特别是，桥上安装的人造驼峰被清楚地识别出来，这意味着所研究的方法能够检测到路面轮廓的突然变化，这可能是由损坏引起的。参数研究表明，车辆速度对估计精度影响很小，而较重的车辆具有更好的估计精度。
Accurate estimation of road surface profiles is an important issue for inspection and maintenance of roadway bridges. Recently, a simple method was proposed to complete this task, using a limited number of accelerometers installed on a non-specialised vehicle to estimate road surface profiles from the vehicle's acceleration responses. Its feasibility was preliminarily tested by several numerical simulations and laboratory experiments but validation via field experiments has yet to be completed. This paper presents the investigation of the feasibility of this method for implementation in practice; to this end, a field experiment was conducted on a 40.5 m long simply-supported composite-girder bridge. A compact SUV was employed as the test vehicle. In the field experiment, the road surface profile was estimated with acceptable accuracy using this method, with most peaks and troughs identified. In particular, an artificial hump installed on the bridge was clearly identified, implying that the investigated method was able to detect an abrupt change in the road surface profile, which could be caused by damage. Parametric studies were carried out showing that the vehicle speed had little effect on the estimation accuracy while a heavier vehicle presented better estimation accuracy.