电感耦合等离子体原子发射光谱（ICP-AES）法测定高铁土壤中Al

采用碱熔再酸化分解样品,电感耦合等离子体原子发射光谱法(ICP—AES)测定高铁土壤中Al。通过逐级扩大线性范围的方式,选取测定高含量Al的合适谱线;在标准中逐级加入铁基体,考察了铁基体浓度从20μg/mL到80μg/mL时对测定Al的各谱线的干扰情况。用ICP—AES对国家标准物质GSS-1,GSS-2,GSS-3,GSS-4,GSS-5进行测定,测定值与认定值的相对误差(RE)在-0.37 %～0.31%之间,RSD(n= 5)为0.26％～0.75％ 。     

Rail wheel removal and its implication on track life: A fracture mechanics approach

Wheel/rail forces generated by wheel defects is known to be one of the contributing factors to track failure. Current strategy of removing wheels from service is dependent on the magnitude of the impact forces generated by these defects. These impact forces are estimated with wheel impact monitor established along a section of the railway track. This is also known as wayside monitoring. The impact load levels recorded by these monitors are recorded and the wheels that generate impact loads above a stated level (e.g. 400 kN) will be removed from service for maintenance. The question one poses is “What if the impact force generated by a given wheel is just below this level and stays at this level for extended period of time?” Will this, e.g. 380 kN, impact force do as much damage to the track as a 400 kN impact force if it is allowed in service? What are the implications of allowing a wheel that generate a seemingly acceptable level of 250 kN impact load to remain in service for extended period of time? In an attempt to answer these questions, a series of investigations were carried out to investigate the effect of impact loads on the propagation of a Vertical Split Head (VSH) defect found in the head of a 50 kg/m rail.     

Hopf Bifurcation and Hunting Behavior in a Rail Wheelset with Flange Contact

An analytical investigation of Hopf bifurcation and hunting behavior of a rail wheelset with nonlinear primary yaw dampers and wheel-rail contact forces is presented. This study is intended to complement earlier studies by True et al., where they investigated the nonlinearities stemming from creep-creep force saturation and nonlinear contacts between a realistic wheel and rail profile. The results indicate that the nonlinearities in the primary suspension and flange contact contribute significantly to the hunting behavior. Both the critical speed and the nature of bifurcation are affected by the nonlinear elements. Further, the results show that in some cases, the critical hunting speed from the nonlinear analysis is less than the critical speed from a linear analysis. This indicates that a linear analysis could predict operational speeds that in actuality include hunting.     

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.     

Simple and fast rail wear measurement method based on structured light

In this paper, a fast and accurate rail wear measurement method based on simple equipments is presented. The inner rail profile is measured by a line structured light vision sensor. Using the centers of the big and small circle from the rail waist profile as control points, the measured rail profile is registered to the reference profile. The rail wear, including the vertical and horizontal rail wear, is computed by comparing the registered measured profile with the reference profile. The method has three key contributions: (1) the rail waist light stripe center points in the images are located fast and accurately by first tracking the region containing the rail waist light stripe using the Kalman filter and then computing the sub-pixel precision image coordinates by Hessian matrix at pixels. (2) The rail waist profile is segmented automatically into arcs of big and small circles by thresholding the normal angle curve of the measured rail waist profile. The centers of the two circles are used as control points for registering the measured rail profile to the reference profile. (3) The fast location of rail wear points in the images is realized by projecting the rail wear constraint points to the image, which simplifies the problem of computing rail wear from 2d image processing to 1d searching along the line segment connecting two rail wear constraint points. Experiments show that the proposed method can achieve 500 fps measurement frequency. At a train speed of 350 km/h, the interval between two consecutive measurements is about 190 mm. The system is tested on a real running train, and the measurement results are compared with those rail wear measured manually by special gage. The RMS errors of vertical and horizontal rail wears are 0.34 and 0.30 mm, respectively.     

Energy harvester array using piezoelectric circular diaphragm for rail vibration

Generating electric energy from mechanical vibration using a piezoelectric circular membrane array is presented in this paper.The electrical characteristics of the functional array consisted of three plates with varies tip masses are examined under dynamic conditions.With an optimal load resistor of 11 k,an output power of 21.4 m W was generated from the array in parallel connection at 150 Hz under a pre-stress of 0.8 N and a vibration acceleration of9.8 m/s2.Moreover,the broadband energy harvesting using this array still can be realized with different tip masses.Three obvious output power peaks can be obtained in a frequency spectra of 110 Hz to 260 Hz.The results show that using a piezoelectric circular diaphragm array can increase significantly the output of energy compared with the use of a single plate.And by optimizing combination of tip masses with piezoelectric elements in array,the frequency range can be tuned to meet the broadband vibration.This array may possibly be exploited to design the energy harvesting for practical applications such as future high speed rail.     

平板Blumlein线多通道轨道开关

 设计制作了一个有多通道连接的类似轨道的平行电极结构的开关，给出了开关的结构，对开关内的电场分布做出分析，利用Pspice软件对安装在实验装置中的开关的电压电流进行了计算。实验测得此开关在实验系统中耐压约为500 kV，导通时通过阻值为1 kΩ的水电阻负载的电流为400 A左右。实验所得电压电流波形与模拟结果基本吻合。实验证明此开关具有体积小、更适于平板传输线的结构等优点。     

Capacity allocation problem with random demands for the rail container carrier

In this paper, we consider the formulation and heuristic algorithm for the capacity allocation problem with random demands in the rail container transportation. The problem is formulated as the stochastic integer programming model taking into account matches in supply and demand of rail container transportation. A heuristic algorithm for the stochastic integer programming model is proposed. The solution to the model is found by maximizing the expected total profit over the possible control decisions under the uncertainty of demands. Finally, we give numerical experiments to demonstrate the efficiency of the heuristic algorithm.     

A hybrid metaheuristic algorithm for dynamic rail car fleet sizing problem

The aim of this paper is to present a model and a solution method for rail freight car fleet sizing problem. The mathematical model is dynamic and multi-periodic and car demands and travel times are assumed deterministic, and the proposed solution method is hybridization of genetic algorithms and simulated annealing algorithms. Experimental analysis is conducted using several test problems. The results of the proposed algorithm and CPLEX software are compared. The results show high efficiency and effectiveness of the proposed algorithm. The solution method is applied to solve fleet sizing problem in the Iran Railways as a case study.     

A novel method to identify influential nodes based on hybrid topology structure

With the increasing popularity of rail transit and the increasing number of light rail trips, the vulnerability of rail transit has become increasingly prominent. Once the rail transit is maliciously broken or the light rail station is repaired, it may lead to large-scale congestion or even the paralysis of the whole rail transit network. Hence, it is particularly important to identify the influential nodes in the rail transit network. Existing identifying methods considered a single scenario on either betweenness centrality (BC) or closeness centrality. In this paper, we propose a hybrid topology structure (HTS) method to identify the critical nodes based on complex network theory. Our proposed method comprehensively considers the topology of the node itself, the topology of neighbor nodes, and the global influence of the node itself. Finally, the susceptible–infected–recovered (SIR) model, the monotonicity (M), the distinct metric (DM), the Jaccard similarity coefficient (JSC), and the Kendall correlation coefficient (KC) are utilized to evaluate the proposed method over the six real-world networks. Experimental results confirm that the proposed method achieves higher performance than existing methods in identifying networks.