Application of genetic techniques to the planning of railway track maintenance work

1995 ◽  
Author(s):  
C.A. Grimes
Keyword(s):  
Railway Track ◽  
Track Maintenance ◽  
Maintenance Work ◽  
Genetic Techniques

scholarly journals Optimization of work performance of snow removal work trains on the basis of linear programming

2018 ◽  
Vol 239 ◽  
pp. 04001 ◽  
Author(s):  
Aleksey Manakov ◽  
Andrey Abramov ◽  
Andrey Ilinykh ◽  
Vladimir Aksenov
Keyword(s):  
Linear Programming ◽  
Work Performance ◽  
Railway Track ◽  
Rolling Stock ◽  
Snow Removal ◽  
Track Maintenance ◽  
Maintenance Work ◽  
Optimization Methodology ◽  
The Cost ◽  
Removal Equipment

The introduction of monitoring systems for the work performance of special rolling stock and monitoring the load of snow removal work trains revealed a number of shortcomings in the planning, organization, and recording of work performed by snow removal work trains. The elimination of the identified problems is possible on the basis of optimization of work performance, the implementation of which can be achieved on the basis of existing systems with appropriate additional functionality. For this purpose, in the framework of the theoretical studies presented in the paper, a methodology for optimization of work performance of snow removal work trains has been developed. Linear programming is adopted as a method of solving the optimization problem. On the basis of the algorithm for solving the transport problem, the problem of minimizing the cost of snow removal from various sections of the track by the existing park of work trains is formulated, for which a mathematical model is constructed that includes the objective function and the corresponding restrictions. The results of the study show that the widespread use of work planning on the basis of the presented optimization methodology will make it possible to make the most efficient use of snow removal equipment and, as a result, to reduce the cost of this type of railway track maintenance work.

Rail Track Maintenance Planning: An Assessment Model

2000 ◽  
Vol 1713 (1) ◽  
pp. 29-35 ◽  
Author(s):  
Scott A. Simson ◽  
Luis Ferreira ◽  
Martin H. Murray
Keyword(s):  
Net Present Value ◽  
Assessment Model ◽  
Operating Costs ◽  
Railway Track ◽  
Base Case ◽  
Maintenance Planning ◽  
Track Maintenance ◽  
Track Condition ◽  
Train Operation ◽  
Maintenance Work

In Australian rail freight operations, railway track maintenance makes up between 25 and 35 percent of total train operating costs. Models have shown that track maintenance costs can be reduced by 5 to 10 percent through improved planning. The Track Maintenance Planning Model (TMPM) has been developed to deal with the track maintenance planning function in the medium to long term. In contrast to traditional models, which mainly use expert systems, TMPM simulates the impacts of railway track conditions and related maintenance work by using an existing track degradation model. Track condition data from that model are used to determine whether safety-related speed restrictions are needed and what immediate maintenance work may be required for safe train operation. TMPM outputs the net present value of the financial benefits of undertaking a given maintenance strategy compared with a base-case maintenance scenario. This approach has an advantage over current models in investigating what-if scenarios. The track engineer can assess the possible benefits of reduced operating costs from upgrading track infrastructure or from improving maintenance equipment. Track maintenance and train operating costs also can be simulated over time. The results of applying the model to a test track section using several different maintenance strategies are presented.

scholarly journals A Taxonomy of Railway Track Maintenance Planning and Scheduling: A Review and Research Trends

2021 ◽  
pp. 107827
Author(s):  
Mahdieh Sedghi ◽  
Osmo Kauppila ◽  
Bjarne Bergquist ◽  
Erik Vanhatalo ◽  
Murat Kulahci
Keyword(s):  
Research Trends ◽  
Railway Track ◽  
Maintenance Planning ◽  
Planning And Scheduling ◽  
Track Maintenance

The Development of a Railway Track Inspection System for Track Maintenance

2020 ◽  
pp. 157-166
Author(s):  
Korntham Sathirakul ◽  
Suradate Suratisak ◽  
Jatesada Borsub ◽  
Sompat Praeknokkeaw
Keyword(s):  
Railway Track ◽  
Inspection System ◽  
Track Maintenance

scholarly journals Optimization of ER8 and 42CrMo4 Steel Rail Wheel for Road–Rail Vehicles

2020 ◽  
Vol 10 (14) ◽  
pp. 4717
Author(s):  
Filip Lisowski ◽  
Edward Lisowski
Keyword(s):  
Geometry Optimization ◽  
High Strength ◽  
Railway Track ◽  
Hydraulic Motor ◽  
Steel Rail ◽  
Element Analysis ◽  
Track Maintenance ◽  
Rail Vehicles ◽  
First Order Method ◽  
Failure Site

Railway track maintenance services aim to shorten the time of removing failures on the railways. One of the most important element that shorten the repair time is the quick access to the failure site with an appropriate equipment. The use of road-rail vehicles is becoming increasingly important in this field. In this type of constructions, it is possible to use proven road vehicles such as self-propelled machines or trucks running on wheels with tires. Equipping these vehicles with a parallel rail drive system allows for quick access to the failure site using both roads and railways. Steel rail wheels of road-rail vehicles are designed for specific applications. Since the total weight of vehicle is a crucial parameter for roadworthiness, the effort is made to minimize the mass of rail wheels. The wheel under consideration is mounted directly on the hydraulic motor. This method of assembly is structurally convenient, as no shafts or intermediate couplings are required. On the other hand, it results in strict requirements for the wheel geometry and can cause significant stress concentration. Therefore, the problem of wheel geometry optimization is discussed. Consideration is given to the use of ER8 steel for railway application and 42CrMo4 high-strength steel. Finite element analysis within Ansys software and various optimization tools and methods, such as random tool, subproblem approximation method and first-order method are applied. The obtained results allow to minimize the rail wheel mass with respect to the used material. Moreover, computational demands and methods leading to the best results are compared.

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