Track dynamic behavior at rail welds at high speed

As a vehicle passing through a track with different weld irregularities, the dynamic performance of track com- ponents is investigated in detail by using a coupled vehi- cle-track model. In the model, the vehicle is modeled as a multi-body system with 35 degrees of freedom, and a Timoshenko beam is used to model the rails which are dis- cretely supported by sleepers. In the track model, the sleepers are modeled as rigid bodies accounting for their vertical, lat- eral and rolling motions and assumed to move backward at a constant speed to simulate the vehicle running along the track at the same speed. In the study of the coupled vehicle and track dynamics, the Hertizian contact theory and the theory proposed by Shen-Hedrick-Elkins are, respectively, used to calculate normal and creep forces between the wheel and the rails. In the calculation of the normal forces, the coefficient of the normal contact stiffness is determined by transient contact condition of the wheel and rail surface. In the calcu- lation of the creepages, the lateral, roll-over motions of the rail and the fact that the relative velocity between the wheel and rail in their common normal direction is equal to zero are simultaneously taken into account. The motion equations of the vehicle and track are solved by means of an explicit integration method, in which the rail weld irregularities are modeled as local track vertical deviations described by some ideal cosine functions. The effects of the train speed, the axle load, the wavelength and depth of the irregularities, and the weld center position in a sleeper span on the wheel-rail impact loading are analyzed. The numerical results obtained are greatly useful in the tolerance design of welded rail pro- file irregularity caused by hand-grinding after rail welding and track maintenances.     

跳车冲击力作用下车桥耦合动力学数值分析

考虑到传统的Hertz弹簧模型进行车桥耦合动力学分析存在诸多问题,本文基于简单的车桥耦合模型,导出了车桥耦合与非耦合动力学方程。考虑轨道周期和随机不平顺情况,车辆在不平顺轨道曲线上运行时,当离心力大于车辆自重时,自动确定车辆的起跳时间和起跳高度。起跳后的车辆在重力作用下,将重新回到梁上,同时对梁有一冲击作用力。文章假设了此冲击力的作用规律,并由有限元模拟确定冲击力系数。通过自编程序,对单轴行车简支梁进行了数值计算。数值分析结果表明,考虑跳车冲击力的动力模型能够更加精准地反应车桥耦合振动特征,且本模型首次给出了跳车高度。考虑轨道具有相同幅值的周期不平顺和随机不平顺时,轨道随机不平顺将导致桥梁,尤其是车辆的响应更大,舒适性更差或结构更危险,在车桥耦合动力学分析中应重点关注。     

Interaction of railway vehicles with track in cross-winds

This paper presents a framework for simulating railway vehicle and track interaction in cross-wind. Each 4-axle vehicle in a train is modeled by a 27-degree-of-freedom dynamic system. Two parallel rails of a track are modeled as two continuous beams supported by a discrete-elastic foundation of three layers with sleepers and ballasts included. The vehicle subsystem and the track subsystem are coupled through contacts between wheels and rails based on contact theory. Vertical and lateral rail irregularities simulated using an inverse Fourier transform are also taken into consideration. The simulation of steady and unsteady aerodynamic forces on a moving railway vehicle in cross-wind is then discussed in the time domain. The Hilber–Hughes–Taylor α-method is employed to solve the nonlinear equations of motion of coupled vehicle and track systems in cross-wind. The proposed framework is finally applied to a railway vehicle running on a straight track substructure in cross-wind. The safety and comfort performance of the moving vehicle in cross-wind are discussed. The results demonstrate that the proposed framework and the associated computer program can be used to investigate interaction problems of railway vehicles with track in cross-wind.     

Study on the operational safety of high-speed trains exposed to stochastic winds

The characteristic wind curve （CWC） was com- monly used in the previous work to evaluate the operational safety of the high-speed trains exposed to crosswinds. How- ever, the CWC only provide the dividing line between safety state and failure state of high-speed trains, which can not evaluate the risk of derailment of high-speed trains when ex- posed to natural winds. In the present paper, a more realistic approach taking into account the stochastic characteristics of natural winds is proposed, which can give a reasonable and effective assessment of the operational safety of high-speed trains under stochastic winds. In this approach, the longitudi- nal and lateral components of stochastic winds are simulated based on the Cooper theory and harmonic superposition. An algorithm is set up for calculating the unsteady aerody- namic forces （moments） of the high-speed trains exposed to stochastic winds. A multi-body dynamic model of the rail vehicle is established to compute the vehicle system dynamic response subjected to the unsteady aerodynamic forces （mo- ments） input. Then the statistical method is used to get the mean characteristic wind curve （MCWC） and spread range of the high-speed trains exposed to stochastic winds. It is found that the CWC provided by the previous analyticalmethod produces over-conservative limits. The methodol- ogy proposed in the present paper can provide more signif- icant reference for the safety operation of high-speed trains exposed to stochastic winds.     

基于对称性的三维车辆轨道耦合系统随机振动虚拟激励方法

基于结构的对称性提出了用于三维车辆轨道耦合系统高效随机动力响应分析的虚拟激励方法.车辆采用刚体动力学模型,轨道结构利用三维轨道广义单元建模,车辆与轨道通过线性轮轨关系耦合.采用虚拟激励法将高低、方向和水平三类轨道不平顺转化为一系列筒谐的虚拟不平顺;考虑车辆及轨道结构的对称性,分别推导了耦合系统的对称和反对称凝聚矩阵,提出了用于车辆轨道耦合系统动力响应计算的自由度凝聚方法,将耦合系统的自由度缩减至原来的一半以下,并在此基础上实现了耦合系统随机振动的高效分析.数值算例将本文方法与传统有限元方法进行对比,验证了本文方法的正确性和有效性.     

A novel method to estimate derailment probability due to track geometric irregularities using reliability techniques and advanced simulation methods

Track irregularities have a dramatic impact on the response and vibration of a railway vehicle and on the interaction between wheel and rail. The random nature of the track structure and constituent materials and the effects of other factors such as maintenance conditions and transit traffic give rise to the random nature of track irregularities. This research provides a method to estimate the derailment probability of a railway vehicle where track irregularities are assumed to be random, and the interaction of the track and the moving train is considered using advanced dynamic analysis. For this purpose, the limit state function of derailment was estimated using the response surface method and advanced simulation. The probability of derailment was then estimated using a Level 3 reliability method.     

车轨系统随机响应周期性拟稳态分析

提出用于三维车轨耦合系统随机动力响应高效求解的周期性拟稳态分析方法. 车辆采用三维刚体动力学模型,轨道结构利用三维轨道广义单元建模. 假定轨枕间距均匀,则列车在轨道上行驶过程中,车轨耦合系统动力学方程具有典型周期时变特征. 应用虚拟激励方法将轨道随机不平顺转化为虚拟简谐不平顺,在状态空间下运用周期系数微分方程的性质和Schur分解技巧将上述问题的求解转化为周期性拟稳态响应分析,只需通过求解系数矩阵为上三角的线性方程组即可代替以往时变系统虚拟响应求解过程中的逐步积分过程,计算效率获得较大提高. 采用该方法进行了三维车轨耦合系统的随机动力响应分析,并进行了不平顺随机载荷在车体、转向架、轮对和轨道等部件中传递机理分析,获得了一些有价值结论.      

列车运行下环形轨道模型振动试验分析

搭建了环形轨道振动试验平台,开展环形轨道振动试验、轨面不平顺振动试验研究。采用INV3062T信号采集仪和INV-9828加速度传感器分别对轨道的横向响应(道床)、纵向响应(轨腰)、轨道表面和扣件支撑处进行加速度信号采集。通过凸起模拟了轨道不平顺,试验分析了轨面不平顺对钢轨动态响应的影响。分析了速度对横波、纵波和轨面不平顺的影响。结果表明:轨道横向振动幅值远大于纵向振动;相邻扣件中点处的振动响应大于扣件处;轨面不平顺会使振动响应增大甚至引起跳动;随着速度的增大,轨道振动位移响应呈上升趋势。     

高速列车磁流变半主动悬挂控制策略研究

为了提高列车运行平稳性,在经典的天棚控制和加速度控制的基础上,提出了一种新型混合控制策略,对高速列车磁流变半主动悬挂控制系统进行了仿真和实验研究.首先,对磁流变阻尼器(MRD)的力学特性测试分析,引入具有电流饱和特性的修正函数,建立了MRD的修正扩展双曲正切模型.然后,设计了面向列车平稳性的新型混合控制策略,通过分析车体加速度传递特性,比较了不同控制策略在全频域内的控制效果.此外,从相频特性的角度阐释了新型混合控制策略在全频段的控制优势.将MRD修正模型应用于悬挂控制,利用UM和Simulink软件建立了整车磁流变半主动悬挂控制系统联合仿真模型,分析不同控制策略对车辆动力学性能的影响.最后,构建了基于MRD的整车悬挂系统硬件在环实验台,通过开展硬件在环实验分析不同控制策略下的车体响应.结果表明,相比传统的控制策略,新型混合控制策略能兼顾低频段和高频段的振动控制效果,不仅可以提高列车的运行平稳性,而且不会恶化列车的运行安全性.硬件在环实验证明了新型混合控制策略的有效性,以及高速列车应用半主动控制悬挂的可行性.     

桥梁表面不平顺对车-桥耦合振动系统动力效应的影响

利用模态分析法以及时变力学系统的求解方法,考虑桥面不平顺产生的随机激励,以简支梁桥为对象,计算了四自由度模型车辆-桥梁耦合系统的动力效应,讨论了不同等级桥面平整度情况下桥梁冲击系数、车辆垂直加速度、车轮对桥的作用力的变化规律。结果表明,随着不平整度系数逐渐增大,冲击系数逐渐增大;平整度较差等级的桥面,车辆垂直加速度较大,车轮对桥的作用力也较大。     

车-轨-桥耦合动力系统影响参数分析

为了考虑高速列车、板式无砟轨道和桥梁相互作用的特点,需将列车模拟为质量-弹簧-阻尼多刚体相互约束的系统,通过列车车轮与钢轨的接触关系,建立车-轨-桥耦合系统的运动方程。重点分析了双线列车以不同工况通过高速铁路桥梁时,列车行驶状态(速度和加速度)、列车悬挂系数和钢轨-轨道-桥梁连接参数分别对车-轨-桥耦合系统的动力学性能影响。结果表明,(1)列车的加速度和速度的变化对耦合系统有不同程度的影响,随着列车行驶速度与加速度在一定范围内增加,车体自身结构的位移振动响应逐渐减小,而钢轨和桥梁结构的位移振动响应则不断增加;(2)列车悬挂参数的改变对列车自身结构影响较大,而对钢轨和桥梁结构影响很小;(3)车体一系刚度系数增大会引起列车系统结构振动响应变大,但车体二系刚度系数的增加却抑制了车体结构的振动响应;(4)除了钢轨的最大加速度随着连续刚度系数增加呈线性递减外,列车、钢轨和桥梁的振动响应不易受钢轨与桥梁间连接参数的影响。     

车轮多边形激励下高速列车制动界面摩擦学行为分析

高速列车车轮多边形磨耗是一种沿车轮周向的不均匀磨耗,是列车服役过程中常见的车轮失效现象,其产生的剧烈轮轨激励严重威胁车辆系统服役可靠性.制动系统作为保障高速列车服役安全的核心部件,其界面摩擦学行为直接受到轮轨激励的影响.为探究车轮多边形激励下的制动界面摩擦学行为,建立了刚柔耦合车辆动力学模型和制动系统热机耦合有限元模型,并分别通过线路试验和台架试验验证了模型的正确性.然后,提出一种考虑车轮多边形激励的制动界面摩擦学行为分析方法,能够真实地反映服役过程中制动界面摩擦学行为.基于此,研究了不同车辆运行速度下车轮多边形激励对制动系统动态接触、温度以及振动特性的影响规律.结果表明：车轮多边形磨耗导致系统接触面积、摩擦热、接触应力和振动等摩擦学行为更为复杂且剧烈.此外,系统接触面积标准差和振动加速度均方根值随速度的增加而增大.因此,车轮多边形磨耗对制动界面摩擦学行为具有不可忽略的影响.该研究成果可为制动系统界面摩擦学行为研究及结构优化设计提供有效方法与工程指导.     

随机不平顺激励下磁浮车辆轨道梁动力响应

建立了高速常导磁浮交通车辆轨道梁空间耦合模型,探讨了合理的磁浮线路功率谱形 式,利用分离迭代的数值积分方法求解了大规模非线性耦合动力方程. 利用计算结果分析了 随机不平顺对系统动力学指标影响规律,并采用功率谱密度曲线进行了谱分析,得到了高速 磁浮交通车梁耦合系统随机振动的基本规律.     

随机风速下高速列车的运行安全可靠性

基于可靠性理论提出了随机风速作用下高速列车风致安全分析的新方法, 这种方法可以对随机风速作用下高速列车的运行安全可靠性进行有效评估.首先基于Cooper理论和谐波叠加法计算随车移动点的脉动风速, 建立随机风速作用下高速列车非定常气动载荷的计算方法, 并通过数值仿真得到气动载荷系数的标准差随侧偏角的变化规律. 然后建立高速列车车辆系统动力学模型, 并对计算模型的正确性进行验证.最后以随机风速、侧力系数、升力系数、侧滚力矩系数、摇头力矩系数和点头力矩系数为基本随机变量, 研究随机风速作用下高速列车的运行安全可靠性和可靠性灵敏度, 给出随机风速作用下高速列车的概率特征风速曲线.研究结果表明:随着车速和风速的增大, 系统的失效概率增大;通过可靠性灵敏度分析发现侧力系数和侧滚力矩系数对高速列车的运行安全影响最大, 应该特别注意这两个参数的变化对高速列车运行安全性的影响;传统确定性方法得到的高速列车的安全域曲线偏于保守, 基于可靠性的方法可得到更合理的安全域曲线.     

Effects of the dynamic wheel–rail interaction on the ground vibration generated by a moving train

Based on Biot’s fully dynamic poroelastic theory, the dynamic responses of the poroelastic half-space soil medium due to quasi-static and dynamic loads from a moving train are investigated semi-analytically. The dynamic loads are assumed to be generated from the rail surface irregularities. The vehicle dynamics model is used to simulate the axle loads (quasi-static loads) and the dynamic loads from a moving train. The compatibility of the displacements at wheel–rail contact points couple the vehicle and the track–ground subsystem, and yield equations for the dynamic wheel–rail loads. A linearized Hertzian contact spring between the wheel and rail is introduced to calculate the dynamic loads. Using the Fourier transform, the governing equations for the poroelastic half-space are then solved in the frequency–wavenumber domain. The time domain responses are evaluated by the fast inverse Fourier transform. Numerical results show that the dynamic loads can make important contribution to dynamic response of the poroelastic half-space for different train speed, and the dynamically induced responses lie in a higher frequency range. The ground vibrations caused by the moving train can be intensified as the primary suspension stiffness of the vehicle increases.     

基于优化多核极限学习机的车轮多边形磨耗识别

多边形车轮是铁路机车车辆中普遍存在的一种磨损现象, 随着列车运营里程的增加, 车轮磨耗程度显著提升, 严重影响着列车乘坐舒适性和运营安全性, 借助于列车运营监测大数据开展多边形车轮动态检测方法研究具有重要意义. 本研究基于列车轴箱垂向加速度建立了多边形车轮定量识别模型, 首先通过阶次分析识别出轴箱加速度中包含的多边形车轮主要阶次, 同时获取各阶次对应的加速度幅值信息, 在此基础上引入加速度信号熵特征共同构建多边形车轮磨耗幅值识别特征矩阵, 然后建立遗传变异粒子群优化多核极限学习机 (GMPSO-MKELM) 识别模型, 通过特征矩阵与磨耗幅值的映射关系, 进一步实现了车轮多边形磨耗幅值识别. 通过仿真与现场实测数据研究结果表明, 所提出的识别模型能有效地从轴箱加速度中提取多边形车轮主要阶次, 磨耗幅值的识别精度均优于对比模型且具有较高的检测效率, 可实现均方根误差为0.0010 (仿真结果) 与0.0134 (试验结果) 的精确识别, 本文提出的多边形车轮磨耗识别模型可为列车车轮检测与智能维护提供理论基础.      

一种车辆模型辅助的MEMS-SINS导航方法

针对城市环境中GNSS因遮挡导致MEMS-SINS精度快速降低的问题,在车辆运动学约束的基础上,结合四通道ABS轮速传感器和方向盘转角信息,提出一种新的适用于陆地车辆的MEMS-SINS导航方法。该方法通过分析车辆转弯和运动约束特性,构建角速度和加速度观测量,从而实现基于模型辅助的MEMS误差在线补偿;其次,ABS轮速信息与非完整约束条件结合可额外增加三维车体速度观测量,进一步维持卫星失效时组合滤波器的量测更新。跑车实验表明,在GNSS信号频繁丢失甚至长时间无法定位时,低精度MEMS惯性器件引起的快速误差积累得到有效抑制,与经典车体约束结合里程计算法相比,航向精度提高约70%,位置、速度精度也有相应的提高,验证了算法的有效性。     

3D analysis of high-speed trains moving on bridges with foundation settlements

This paper investigates the derailment of trains moving on multi-span simply supported bridges with foundation settlements or rotations. Rail irregularities, train–track–bridge interactions, and wheel/rail separations were considered in the three-dimensional nonlinear finite element analysis. A moving spring-mass with separation and contact modes was used to validate the proposed finite element model. In the parametric study, finite element results indicate that foundation settlements or rotations cause sharp displacements between two simply supported girders, which generate large train derailment coefficients. The train derailment coefficients rise with increased train speed, and they greatly increase at a critical speed. The time history displacements of a train obviously contain a jump when it passes a location with foundation settlements or rotations, so a warning system can be established using this measurement.     

Intelligent detection of rail corrugation using ACMP-based energy entropy and LSSVM

In this paper, an intelligent method to diagnose rail corrugation based on signal decomposition and entropy theory is proposed. The axle box acceleration signals are first decomposed into several components with different frequency bands by ACMP, EEMD and MODWT. By comparison, ACMP is able to successfully extract rail corrugation component from original signal without mode mixing. Energy entropy is then introduced here to quantify the degree of the rate of energy concentration. The analysis results show that the energy will change when rail corrugation occurs and the entropy will become small. It has been also proved that the entropy difference of rail corrugation and normal signal based on ACMP is the most significant. In addition, to intelligently diagnose rail corrugation, we combine energy entropy with energy index and the first mode energy, regarded as the input feature vector of LSSVM, to distinguish rail corrugation from mass data sets. It is obvious that the accuracy of ACMP-based technique is the highest.