Simulation Model of Retarder Stopper on the End of Classification Tracks

Kornienko, Konstantin; Olgeizer, Ivan; Sukhanov, Andrey; Tanaino, Iuliia; Sokolov, Vladislav

doi:10.1007/978-3-031-11058-0_43

Cited by 1 publication

(1 citation statement)

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“…In the future, the rolling cuts models were developed and today they are the main tool for solving various problems of evaluating design options and technical facilities of sorting humps. Articles [1][2][3][4][5][6] are devoted to the problems solving of improving the design of sorting humps and yards. It should be noted that at the design stage, calculated cuts with known parameters and their various unfavorable combinations are mainly considered.…”

Section: Literature Reviewmentioning

confidence: 99%

The influence of random factors on the estimation of the speed and time of rolling cuts from sorting humps

Kozachenko,

Hermaniuk,

Grevtsov

2024

MATEC Web Conf.

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The main direction of increasing efficiency and safety of the work of sorting humps is the management automation of breaking-up of trains. The difficulty of solving this problem is due to the fact that it is solved in the absence of accurate information about the running characteristics of the cars, the parameters of their routes of rolling and environmental conditions. In addition to this, car retarders implement given modes with errors. The purpose of this study is to assess the influence of various random factors on the indicators of cars rolling from the sorting humps. The research was carried out using methods of simulation modeling, planning of factorial experiments and statistical analysis. As a result, it was established that the main factors affecting the mean square deviation of the time of the cars rolling are the distance of unregulated rolling and the specified speed of the cut leaving the car retarders. The research results make it possible to improve algorithms for determining braking modes for retarders in the absence of accurate information to solve the problem.

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