Defense of the dissertation of Duisembayeva Bakytzhamal for the degree of Doctor of Philosophy (PhD) in the specialty «8D07113 - Transport, Transport Technics and Technologies»

L.N. Gumilyov Eurasian National University, a dissertation defense for the degree of Doctor of Philosophy (PhD) by Duisembayeva Bakytzhamal on the topic «Research of the interaction between the rail track and the rolling stock» to the educational program «8D07113 – Transport, Transport Technics and Technologies».

The dissertation was carried out at the «Transport engineering education department» of L.N. Gumilyov Eurasian National University.

The language of defense is kazakh

Official reviewers:

Temporary members of the Dissertation Committee:

Scientific advisors:

Togizbayeva Baglan Bolsinovna – Doctor of Technical Sciences, Head of the Department of Transport Engineering at the L.N. Gumilyov Eurasian National University, Professor.

Batashov Sergey Ivanovich – Candidate of Technical Sciences, Associate Professor of Traction Rolling Stock, Russian University of Transport, Moscow, Russia.

The defense will take place on August 24, 2026, at 10:00 AM in the Dissertation Council for the training direction «8D071 – Engineering and engineering trades» in the specialty «8D07113 – Transport, Transport Technics and Technologies» of L.N. Gumilyov Eurasian National University. The defense meeting is planned to be held online.

Link: https://teams.microsoft.com/meet/48348148085267?p=Gd8CPh0txGDN113ddt

Address: Астана қ., Қажымұқан к.,13, Мәжіліс залы (№133 ауд.).

Abstract (English): ABSTRACT of the dissertation by Duisembayeva Bakytzhamal Sharipovna entitled “Research of the interaction between the rail track and the rolling stock”, submitted for the degree of Doctor of Philosophy (PhD) in the educational programme 8D07113 – “Transport, Transport Equipment and Technologies”. Objective of the dissertation research The objective of the dissertation research is to develop scientifically grounded models, methods and algorithms for assessing the dynamic interaction of the “railway track – rolling stock” system, taking into account track geometric irregularities, their probabilistic characteristics, spectral properties and their influence on the reliability, safety and smoothness of railway vehicle motion. Research tasks 1. To analyse existing approaches to assessing the interaction between the railway track and rolling stock, as well as methods for accounting for track geometric irregularities. 2. To study the characteristics of vertical irregularities of the railway track, their classification, spectral properties and influence on the dynamic indicators of rolling stock motion. 3. To develop probabilistic models of random and compound railway track irregularities that describe their parameters with regard to the actual technical condition of the track. 4. To propose methods for automated classification of irregularities based on measurement data analysis and pattern recognition methods. 5. To develop autoregressive models of track geometric parameters using data from the KVL-P 2.0 track measuring car. 6. To develop an algorithm for identifying compound settlements of a specified amplitude and assessing their influence on the dynamic interaction between the track and rolling stock. 7. To experimentally verify the developed models on railway track sections, including curves with radii of 290 m and 600 m, using a TE33A locomotive. 8. To substantiate the possibility of practical implementation of the developed algorithms in software tools for processing data from a track measuring car. Research methods The study applies methods of rolling stock dynamics, random process theory, spectral analysis, mathematical modelling, statistical processing of experimental data, autoregressive modelling, pattern recognition, cumulative sum algorithms, as well as methods of experimental verification of the dynamic interaction of the “track – rolling stock” system. The processing of the results was based on data from the KVL-P 2.0 track measuring car, the results of field tests of the TE33A locomotive, and measurement information on the geometric condition of the railway track. Main provisions submitted for defence 1. A comprehensive probabilistic model of railway track geometric irregularities that takes into account random and compound irregularities and their spectral and statistical characteristics. 2. A methodology for assessing the dynamic interaction of the “railway track – rolling stock” system based on the spectral characteristics of vertical track irregularities. 3. Algorithms for automated classification and identification of railway track irregularities using data from a track measuring car. 4. Autoregressive models of changes in track geometric parameters that make it possible to assess the track condition and identify sections with deteriorating technical condition. 5. An algorithm for determining the moment of change in the statistical characteristics of track irregularities based on the cumulative sum method. 6. Software and algorithmic support for processing measurement information and automated diagnostics of the railway track condition. Description of the main research results The dissertation develops a model of the spectral density of vertical railway track irregularities, proposes a classification of irregularities based on pattern recognition methods, and establishes the relationship between the parameters of track irregularities and the indicators of dynamic interaction between rolling stock and the railway track. Probabilistic models of random and compound railway track irregularities were developed; the adequacy of the models was experimentally verified on track sections with different curve radii; and autoregressive models of track geometric parameters were constructed using data from the KVL-P 2.0 track measuring car. Algorithms were proposed for detecting changes in the statistical characteristics of track irregularities, identifying compound settlements of a specified amplitude, and assessing their influence on the dynamic interaction between the track and rolling stock. The possibility of implementing the developed algorithms in the onboard computer of a track measuring car for automated diagnostics of the track condition was demonstrated. Justification of the novelty and importance of the obtained results The scientific novelty of the research lies in the development of a comprehensive approach to assessing the interaction between the railway track and rolling stock, based on the combined consideration of probabilistic, spectral and statistical characteristics of track geometric irregularities. Unlike traditional approaches, railway track irregularities are considered not only as individual geometric deviations, but also as a random process affecting the dynamic indicators of rolling stock motion. This makes it possible to improve the reliability of diagnosing the technical condition of the track and to substantiate methods for identifying sections with unfavourable parameters. The practical importance of the results is determined by the possibility of using them in automated processing of data from track measuring cars, diagnostics of the railway track condition, forecasting potentially hazardous sections, improving train operation reliability and safety, and planning track maintenance and repair activities. Compliance with the directions of science development or state programmes The dissertation corresponds to the priority directions of transport science development, the digitalisation of railway infrastructure diagnostics, the improvement of train traffic safety and the reliable operation of railway transport. The obtained results are aimed at improving methods for monitoring and assessing the technical condition of the railway track, which is consistent with the tasks of developing the transport and logistics system of the Republic of Kazakhstan, increasing the efficiency of railway infrastructure operation and ensuring the safe movement of rolling stock. Description of the applicant’s contribution to the preparation of publications The main results of the dissertation research are reflected in 6 scientific works, including articles published in international peer-reviewed journals indexed in Web of Science Core Collection / Scopus, articles in journals recommended by the authorised body, and materials of an international scientific and practical conference. The applicant’s personal contribution consists in formulating the scientific problem, analysing domestic and international studies on the interaction between the railway track and rolling stock, systematising existing methods for measuring and assessing track geometric irregularities, developing probabilistic and spectral models of vertical railway track irregularities, and substantiating methods for their classification. The applicant processed and interpreted experimental and measurement data, analysed the influence of track geometric parameters on the dynamic interaction between rolling stock and the railway track, formulated the main scientific conclusions and practical recommendations, and directly participated in preparing the texts of scientific publications, presenting research results, discussing the obtained data with co-authors and revising materials for publication. Co-authors and scientific consultants participated in discussing individual theoretical provisions, clarifying methodological approaches, providing scientific consultation and editing materials. At the same time, the main results related to the dissertation research topic were obtained with the direct participation of the applicant.

Dissertation

List of Scientific Works

Consultant's Review

Foreign Consultant's Review

Conclusion of the Research Ethics Committee