Noise and Vibration Mitigation for Rail Transportation Systems - Proceedings of the 13th International Workshop on Railway Noise, 16-20 September 2019, Ghent, Belgium
Noise and Vibration Mitigation for Rail Transportation Systems - Proceedings of the 13th International Workshop on Railway Noise, 16-20 September 2019, Ghent, Belgium
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铁路运输系统的噪声和减振 - 第 13 届国际铁路噪声研讨会论文集，2019 年 9 月 16 日至 20 日，比利时根特
DOI：
10.1007/978-3-030-70289-2_29
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Carrigan T
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文献类型：
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作者：
Carrigan T
随着时间的推移，轨头粗糙度增加，导致环境噪音和振动增加。使用轴箱加速度（阿坝）的测量在服务的铁路车辆，以监测轨道粗糙度可能比其他技术更具成本效益。所测量的加速度需要信号处理以导出轨头状况的合适度量。可以用在参考轨道上进行的直接粗糙度和阿坝测量来校准传递函数，然后可以使用所述直接粗糙度和ABA测量来从随后的阿坝测量导出粗糙度谱。然而，这种方法受到轨道动态行为变化以及车轮粗糙度变化的影响，车轮粗糙度与阿坝测量中的轨道粗糙度固有地结合在一起。本文提出了一种改进的方法，（i）提取轨道的动态刚度参数从阿坝测量，使粗糙度ABA传递函数的推导为每个部分的轨道，和（ii）分离的车轮和轨道粗糙度同步平均在几个车轮旋转。通过考虑轨道特性的变化和去除车轮粗糙度的影响，初始建模表明，在实践中可以获得可靠的测量轨道粗糙度谱。
Railhead roughness increases over time, leading to increased environmental noise and vibration. The use of axle-box acceleration (ABA) measurements on in-service railway vehicles to monitor rail roughness is potentially more cost-effective than other techniques. The measured acceleration requires signal processing to derive suitable metrics of railhead condition. A transfer function may be calibrated with direct roughness and ABA measurements made on a reference track, which may then be used to derive roughness spectra from subsequent ABA measurements. However, this approach is affected by variations in track dynamic behaviour, as well as variations in wheel roughness, which is inherently combined with rail roughness in the ABA measurement. This paper proposes an improved approach that (i) extracts the track’s dynamic stiffness parameters from the ABA measurements, enabling the derivation of the roughness-ABA transfer function for each section of track, and (ii) separates the wheel and rail roughness by synchronous averaging over several wheel revolutions. By accounting for variations in track properties and removing the influence of wheel roughness, initial modelling indicates that reliable measurements of rail roughness spectra can be obtained in practice.