Railway track maintenance
114771882
Track geometry degradation and maintenance modelling: A review
Increased demand for railway transportation is creating a need for higher train speeds and axle loads. These, in turn, increase the likelihood of track degradation and failures. Modelling the degradation behaviour of track geometry and development of applicable and effective maintenance strategies has become a challenging concern for railway infrastructure managers. During the last three decades, a number of track geometry degradation and maintenance modelling approaches have been developed to predict and improve the railway track geometry condition. In this paper, existing track geometry measures are identified and discussed. Available models for track geometry degradation are reviewed and classified. Tamping recovery models are also reviewed and discussed to identify the issues and challenges of different available methodologies and models. Existing track geometry maintenance models are reviewed and critical observations on each contribution are provided. The most important track maintenance scheduling models are identified and discussed. Finally, the paper provides directions for further research.
Iman Soleimanmeigouni Alireza Ahmadi Uday Kumar
110053855
Axlebox accelerations: Their acquisition and time frequency characterisation for railway track monitoring purposes
Abstract Railway track maintenance is becoming a real challenge for Railway Engineers due to the need of meeting increasingly high quality requirements by means of cost effective procedures. Frequently, this can be only achieved by implementing some technological developments from other fields into the railway sector, such as Digital Signal Processing. Indeed, the present work delves into data acquisition and processing techniques in order to enhance track surveying processes. For this purpose, run tests on the Metropolitan Rail Network of Valencia (Spain) were carried out, and axlebox accelerations were gathered and analysed in different ways. The results determined the optimal sampling and filtering frequencies as well as the location of accelerometers along the train. Furthermore, by means of spectral analysis and time frequency representations, diverse track defects, track singularities and vibration modes can be clearly identified. It is shown how, with a Hamming time window of 0.5 s and an overlapping of 95% a wide set of track defects can be detected, without the need of complementary analyses. These values yield the best results as they are a good compromise between time and frequency resolution and allow for appropriate pattern recognition of the corresponding track singularities and resonant frequencies.
Pablo Salvador Valery Naranjo Ricardo Insa Paulo Ivo Cortez Teixeira
120970202
Mathematical modeling analyses for obtaining an optimal railway track maintenance schedule
Railway track irregularities need to be kept at a satisfactory level by taking appropriate maintenance activities. This paper aims at obtaining an optimal maintenance schedule for improving the railway track irregularities using all integer linear programming (AILP) optimization model analyses.Firstly, we try to predict a change of surface irregularities by investigating the transition process through degradation and restoration model analyses. Then we develop an AILP model for obtaining an optimal schedule of multiple tie tamper (MTT) operation. The model takes both maintenance costs and the level of surface irregularities that reflects riding quality and safety into account, then finally gives an optimal tamping schedule of MTT for the whole year. Then we apply the results of this model to solve the optimal MTT's maintenance scheduling problem for the actual railway network system and show that it is effective and useful enough by comparing our model results with actual existing data.
Tatsuo Oyama Masashi Miwa
29641132
Optimal Scheduling of Track Maintenance on a Railway Network
To ensure the safety and continued operation of the railway network system, many maintenance and renewal activities are performed on the track every month. Unplanned maintenance activities are expensive and would cause low service quality. Therefore, the track condition should be monitored, and when it has degraded beyond some acceptable limit, it should be scheduled for maintenance before failure. An optimal timetable of the maintenance activities is needed to be scheduled, planning the monthly workload, to reduce the effect on the transportation service and to reduce the potential costs. Considering the uncertainties of the deterioration process, the safety of transportation service, the lifetime loss of the replaced track, the maintenance cost and the travel cost, this article advances an optimisation model for the maintenance scheduling of a regional railway network. An enhanced genetic algorithm approach is proposed to search for a solution producing maintenance schedule such that the overall cost is minimised in a finite planning horizon. A case study is given to demonstrate the application of the method. The case study results were derived by using an enhanced genetic algorithm method, which is specifically developed to deal with the characteristics of the railway maintenance problem. Copyright (c) 2012 John Wiley Sons, Ltd.
Qual. Reliab. Eng. Int.
Tao Zhang John D Andrews Rui Wang
73588534
Bitumen stabilized ballast: a potential solution for railway track bed
Railway ballast degradation under dynamic loads progressively leads to loss of mechanical performance and geometry of the track, so that maintenance interventions are frequently needed. In order to systematically avoid this issue, recently solutions have been proposed to reinforce track bed by using polyurethane and/or resins as well as asphalt layers among others. Nonetheless, their main limitations are related to the high initial cost and low productivity. To cope with these limitations, in this study, bitumen stabilized ballast (BSB) is proposed as a new solution for ballast stabilization. This method aims at improving durability and reducing settlement by modifying both stiffness and the ability of energy dissipation of the layer. The paper introduces the potential of this technology as material to be used in railway track beds by presenting the results of a laboratory based investigation using the Precision Unbound Material Analyser (PUMA) Different variables such as ballast grading, bitumen emulsion dosage, compaction method and stress levels are considered. Results showed a significant decrease in permanent deformation and deformation rate associated with modified stiffness and energy dissipation properties of BSB, which suggest the potential for improving long term performance and sustainability of ballasted track.
Giacomo D'Angelo Nicholas H Thom Davide Lo Presti
21672189
Data driven optimization of railway maintenance for track geometry
Abstract Railway big data technologies are transforming the existing track inspection and maintenance policy deployed for railroads in North America. This paper develops a data driven condition based policy for the inspection and maintenance of track geometry. Both preventive maintenance and spot corrective maintenance are taken into account in the investigation of a 33 month inspection dataset that contains a variety of geometry measurements for every foot of track. First, this study separates the data based on the time interval of the inspection run, calculates the aggregate track quality index (TQI) for each track section, and predicts the track spot geo defect occurrence probability using random forests. Then, a Markov chain is built to model aggregated track deterioration, and the spot geo defects are modeled by a Bernoulli process. Finally, a Markov decision process (MDP) is developed for track maintenance decision making, and it is optimized by using a value iteration algorithm. Compared with the existing maintenance policy using Markov chain Monte Carlo (MCMC) simulation, the maintenance policy developed in this paper results in an approximately 10% savings in the total maintenance costs for every 1 mile of track.
Siddhartha Sankar Sharma Yu Cui Qing He Reza Mohammadi Zhiguo Li
113864897
Laboratory and field investigation of the effect of geogrid reinforced ballast on railway track lateral resistance
Abstract Continuous welded rail (CWR) tracks have particular advantages over common tracks with jointed rails such as increased ride comfort, reduced noise and vibration and decreased maintenance costs due to the removal of joints in rail connections. Alternatively, some complications associated with CWR tracks, for instance increased lateral forces, are the main reason of track buckling and its subsequent lateral deformation. These problems are usually more severe in curved tracks. In order to overcome the large lateral forces caused by temperature deviations of CWR tracks which results in railway vehicle instability, the ballasted track lateral resistance should be improved. Among the various methods proposed in this area, no specific study has been carried out on the effect of geogrid reinforcement on ballasted track lateral resistance. Thus, the present research was allocated to investigating the effect of geogrid on the lateral resistances of both single tie and track panel via laboratory and field tests. In this regard, at the first stage, the ballast layer was reinforced with various number of geogrid layers, the effect of which was investigated by conducting the single tie push test (STPT) in the lab environment to assess the optimum number of geogrid layers and their installation levels along the ballast layer thickness. Afterwards, a test track was executed in the field including various sections which were reinforced in the same way as the lab tests. Consequently, many STPTs and track panel displacement tests (TPDTs) were accomplished. As a result, the STPTs in the lab and field confirmed more than 31% and 42% increase in single tie lateral resistance for ballast layers reinforced respectively with one and two geogrid layers, while these values were reached to 29% and 40% in the case of TPDT.
Morteza Esmaeili Jabbar Ali Zakeri Mohammad Babaei
68245407
Integrated stochastic optimization approaches for tactical scheduling of trains and railway infrastructure maintenance
Abstract This work addresses a tactical railway traffic scheduling problem focused on the optimization of train sequencing and routing decisions and timing decisions related to short term maintenance works in a railway network subject to disturbed process times. This is modeled as a mixed integer linear programming formulation in which the traffic flow and track maintenance variables, constraints and objectives are integrated under a stochastic environment. The resulting bi objective optimization problem is to minimize the deviation from a scheduled plan and to maximize the number of aggregated maintenance works under stochastic disturbances. The two objectives require to schedule competitive train operations versus maintenance works on the same infrastructure elements. Computational experiments are performed on a realistic railway network. We measure the quality of the integrated solutions in terms of their robustness to stochastic perturbations of the train travel times and of the maintenance works. Pareto optimal methods are compared for the bi objective problem. We also evaluate the impact of introducing routing stability constraints in order to force the trains to keep the same route among the different stochastic disturbed scenarios. The experiments show that forcing the routing stability reduces the routing flexibility and the ability to optimize the two performance indicators when dealing with stochastic disturbances.
Comput. Ind. Eng.
Andrea D'Ariano Lingyun Meng Gabriele Centulio Francesco Corman
109406586
Numerical modelling of high speed train/track system for the reduction of vibration levels and maintenance needs of railway tracks
Abstract It has been proven that cyclic loading induced by the circulation of trains at very high speeds >300 km/h) results in important track vibrations progressively amplified in a repeated process leading to the deterioration of track geometric quality and an unwanted increase in track maintenance needs and track life cycle costs. Having this as concern, the present paper focuses on a numerical model which was built to correctly predict train/track dynamic response (confidence assured by an extensive validation process with real experimental measurements in railway high speed lines) not only instantaneously but also in a long term perspective. The innovation consists on the fact that the same tool enables both accessing track vibration levels and evaluating track settlement evolution throughout millions of cyclic train passages, maintaining low computing time. Different track design solutions are simulated, such as: softening railpads, applying under sleeper pads, placing ballast mats or using bituminous subballast as an alternative to granular subballast. Results are evaluated in the perspective of track vibrations mitigation and track maintenance needs.
P A Ferreira Andres Lopez-Pita
32300597
A taxonomy of human communication errors and application to railway track maintenance
This paper proposes a communication error taxonomy that takes into account both the aspects of communication which are unique to human performance and those which can fit into broader human error classifications. Relevant taxonomy elements are applied to communication errors related to railway track maintenance. The analysis was based on communication data captured from voice recordings of conversations between signallers and trackside personnel. The recordings were transcribed and then classified in relation to communication topic and error types. These data provide a better understanding of the communication process and also provide human error probability data for use in human reliability assessment.
Cognition, Technology Work
W Huw Gibson E D Megaw Mark S Young E Lowe