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A Model to Predict the Railway Track Deterioration and Provide a Decision-Support System for Maintenance by Life Cycle Cost

Hashemian, Elyas | 2018

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 50442 (09)
  4. University: Sharif University of Technology
  5. Department: Civil Engineering
  6. Advisor(s): Shafahi, Yousef
  7. Abstract:
  8. Rail transport system plays an important role in the development of the economies of the countries. This system is worn out over time by operating and weather conditions and requires maintenance and repair. One of the objectives of maintenance operations is to maintain tracks in an acceptable level and prevent their excessive deviation from the optimal situation. This deviation is called geometric irregular deviation. If these irregularities go away, they can cause traffic accidents and derailment in addition to losing travel convenience. So avoiding the deviation of the tracks is a very important. Maintenance management systems in the past few decades have been considered by the experts in various industries. Railways have also been studied and implemented in order to optimize their activities and reduce their costs. Such systems have used different techniques to predict the future state of failure. Choosing the best maintenance policy is the goal of these systems. For policy making, the best and most cost-effective option, life-cycle cost analysis is required. In this study, we have tried to provide a model for predicting the status of railway tracks by extending existing models and using the output data of a track recording machine (EM120). To achieve this, Markov chain method has been used as a prediction model. In the following, with the help of the degradation models obtained in the previous step, life-cycle cost model is proposed for some of the track components. Providing a life cycle cost model for the rails and ballasts for optimal maintenance planning, taking into account long-term costs. The solutions obtained from solving the deterioration model are as acceptable as possible to predict the future status. Also, optimal maintenance decisions are consistent with life-cycle cost models in terms of the number of decisions and the life cycle of the components of the tracks with existing facts
  9. Keywords:
  10. Maintenance ; Decision Making Support System ; Life Cycle Cost (LCC) ; Railway Transport ; Railway Track Deterioration ; Track Car Recorder (EM120)

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