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A reliability assessment approach for slab track structure based on vehicle-track dynamics and surrogate model
Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability ( IF 1.7 ) Pub Date : 2021-07-04 , DOI: 10.1177/1748006x211028405
Zai-Wei Li 1 , Xiao-Zhou Liu 2 , Si-Xin Chen 3
Affiliation  

The reliability assessment of rail infrastructure is directly related to the safety and effectiveness of railway transportation and critical for railway management department. This paper presents an approach for service reliability analysis of slab track from the point of view of the vehicle-track system operational safety. The vehicle-track dynamics is simulated by the established finite element model (FEM) and the limit state function (LSF) is defined on the danger of derailment. To reflect the real state of track geometric condition, the track irregularity spectrums (TISs) are extracted from the measured track irregularity data and fitted by the seven-parameter formula. Then, a set of time series can be obtained from the TISs using a binary wavelet-based inversion method and then input to the FEM to obtain the value of LSF. Finally, Monte Carlo simulation (MCS) is used in the calculation of track reliability. To overcome the slow convergence of the vehicle-track models, this study develops a surrogate model based on support vector machine (SVM). It is validated that the established SVM can well approximate the relationship between the track irregularities to the derailment coefficients in terms of small error and high correlation. More importantly, the efficiency is more than 1000 times higher than traditional FEM. This is a pioneering study to incorporate vehicle-track dynamics into the reliability assessment of slab track in service. For a 1024-m section of slab track, results show that its reliability index can satisfy the requirement in specifications.



中文翻译:

基于车辆-轨道动力学和代理模型的板式轨道结构可靠性评估方法

铁路基础设施的可靠性评估直接关系到铁路运输的安全性和有效性,对铁路管理部门至关重要。本文从车辆-轨道系统运行安全的角度提出了一种板式轨道服务可靠性分析方法。通过建立的有限元模型(FEM)对车辆-轨道动力学进行模拟,定义出轨危险性的极限状态函数(LSF)。为了反映轨道几何条件的真实状态,从实测轨道不平整度数据中提取轨道不平整度谱(TIS),并通过七参数公式拟合。然后,可以使用基于二进制小波的反演方法从 TIS 中获得一组时间序列,然后输入到 FEM 中以获得 LSF 的值。最后,蒙特卡罗模拟 (MCS) 用于计算轨道可靠性。为了克服车辆-轨道模型收敛缓慢的问题,本研究开发了一种基于支持向量机 (SVM) 的代理模型。验证了所建立的支持向量机能够很好地逼近轨道不平度与脱轨系数之间的关系,误差小,相关性高。更重要的是,其效率比传统 FEM 高出 1000 多倍。这是一项开创性的研究,将车辆-轨道动力学纳入服役中的板式轨道可靠性评估。对一段1024米的板式轨道,结果表明其可靠度指标满足规范要求。为了克服车辆-轨道模型收敛缓慢的问题,本研究开发了一种基于支持向量机 (SVM) 的代理模型。验证了所建立的支持向量机能够很好地逼近轨道不平度与脱轨系数之间的关系,误差小,相关性高。更重要的是,其效率比传统 FEM 高出 1000 多倍。这是一项开创性的研究,将车辆-轨道动力学纳入服役中的板式轨道可靠性评估。对一段1024米的板式轨道,结果表明其可靠度指标满足规范要求。为了克服车辆-轨道模型收敛缓慢的问题,本研究开发了一种基于支持向量机 (SVM) 的代理模型。验证了所建立的支持向量机能够很好地逼近轨道不平度与脱轨系数之间的关系,误差小,相关性高。更重要的是,其效率比传统 FEM 高出 1000 多倍。这是一项开创性的研究,将车辆-轨道动力学纳入服役中的板式轨道可靠性评估。对一段1024米的板式轨道,结果表明其可靠度指标满足规范要求。验证了所建立的支持向量机能够很好地逼近轨道不平度与脱轨系数之间的关系,误差小,相关性高。更重要的是,其效率比传统 FEM 高出 1000 多倍。这是一项开创性的研究,将车辆-轨道动力学纳入服役中的板式轨道可靠性评估。对一段1024米的板式轨道,结果表明其可靠度指标满足规范要求。验证了所建立的支持向量机能够很好地逼近轨道不平度与脱轨系数之间的关系,误差小,相关性高。更重要的是,其效率比传统 FEM 高出 1000 多倍。这是一项开创性的研究,将车辆-轨道动力学纳入服役中的板式轨道可靠性评估。对一段1024米的板式轨道,结果表明其可靠度指标满足规范要求。

更新日期:2021-07-05
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