Methodology for refined calculation of mean time to repair of mining dump truck suspension elements with account of mining and technical conditions of their operation

E.Y. Botyan1 , S.A. Lavrenko1, A.E. Pushkarev2
¹ Empress Catherine II Saint Petersburg Mining University, St. Petersburg, Russian Federation
² Saint Petersburg State University of Architecture and Civil Engineering, St Petersburg, Russian Federation
Russian Mining Industry №1 / 2024 стр. 71-76

Abstract: Suspension of mining dump trucks currently accounts for the largest share in the total number of sudden failures. In this regard, determination and further clarification of the rational replacement age and the mean time to repair of elements of this particular unit of mining dump trucks is one of the extremely important tasks that are faced by both their manufacturers and the maintenance teams of mining and processing plants. Currently existing methods are based on two main approaches, i.e. accumulation and analysis of the failure statistics for the same type of operations and assessment of the remaining lifetime. However none of them takes into account the influence of the mining conditions in which the equipment operates, and these conditions can also change significantly during its operation. To solve the presented problem, it is proposed to specify the existing methodology for determining the rational mean time to repair by establishing a comprehensive optimization criterion, which in addition to the mean time between failures shall include various types of economic costs and a coefficient reflecting the relationship between the influence of mining operating conditions and the mean time between failures. The result of clarifying the mean time to repair of the dump truck suspension elements is a decrease in the average recovery time of this unit, which leads to an increase in the maintainability of the entire machine.

Keywords: mining dump truck, mean time to repair, geotechnology, mining conditions, mining enterprise, transportation system

For citation: Botyan E.Y., Lavrenko S.A., Pushkarev A.E. Methodology for refined calculation of mean time to repair of mining dump truck suspension elements with account of mining and technical conditions of their operation. Russian Mining Industry. 2024;(1):71–76. (In Russ.) https://doi.org/10.30686/1609-9192-2024-1-71-76

Article info

Received: 13.12.2023

Revised: 01.02.2024

Accepted: 05.02.2024

Information about the authors

Evgeny Y. Botyan – Postgraduate student, Department of Transport and technological machines, Empress Catherine II Saint Petersburg Mining University, Saint Petersburg, Russian Federation; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Sergey A. Lavrenko – Cand. Sci. (Eng.), Head of department of practical skills and experience, Empress Catherine II Saint Petersburg Mining University, Saint Petersburg, Russian Federation

Alexander E. Pushkarev – Dr. Sci. (Eng.), Professor, Department of Surface transport and technological machines, Saint Petersburg State University of Architecture and Civil Engineering, Saint Petersburg, Russian Federation

References

1. Логинов Е.В., Масальский С.С., Петров К.Д. Обоснование технологической схемы работы комплекса выемочно-погрузочной техники и автотранспорта на карьере. Горный информационно-аналитический бюллетень. 2023; (9-1):22–34. https://doi.org/10.25018/0236_1493_2023_91_0_22 Loginov E.V., Masalskiy S.S., Petrov K.D. Justification of technological scheme of work of the complex of extraction and loading equipment and automobile transport in open-pit mining. Mining Informational and Analytical Bulletin. 2023; (9-1):22–34. (In Russ.) https://doi.org/10.25018/0236_1493_2023_91_0_22

2. Artega F., Nehring M., Knights P., Camus J. Schemes of exploitation in open pit mining. In: Drebenstedt C., Singhal R. (eds) Mine Planning and Equipment Selection Conference. Springer, Cham.; 2014, pp. 1307–1323. https://doi.org/10.1007/978-3-319-02678-7_126

3. Сычев Ю.А., Назарычев А.Н., Дяченок Г.В. Повышение безопасности труда водителей карьерных самосвалов путем снижения риска возникновения отказов функциональных узлов тягового электропривода в условиях эксплуатации. Безопасность труда в промышленности. 2023;(9):52–58. https://doi.org/10.24000/0409-2961-2023-9-52-58 Sychev Yu.A., Nazarychev A.N., Dyachenok G.V. Improving the labor safety of mining dump truck drivers by reducing the risk of failure of the functional units of the traction electric drive under operating conditions. Occupational Safety in Industry. 2023;(9):52–58. (In Russ.) https://doi.org/10.24000/0409-2961-2023-9-52-58

4. Назарычев А.Н., Дяченок Г.В., Сычев Ю.А. Исследование надежности тягового электропривода карьерных самосвалов на основе анализа отказов его функциональных узлов. Записки Горного института. 2023;261:363–373. Режим доступа: https://pmi.spmi.ru/pmi/article/view/16189 (дата обращения: 06.12.2023). Nazarychev A.N., Dyachenok G.V., Sychev Y.A. A reliability study of the traction drive system in haul trucks based on failure analysis of their functional parts. Journal of Mining Institute. 2023;261:363–373. Available at: https://pmi.spmi.ru/pmi/article/view/16189 (accessed: 06.12.2023).

5. Литвиненко В.С., Петров Е.И., Василевская Д.В., Яковенко А.В., Наумов И.А., Ратников М.А. Оценка роли государства в управлении минеральными ресурсами. Записки Горного института. 2023;259:95–111. https://doi.org/10.31897/PMI.2022.100 Litvinenko V.S., Petrov E.I., Vasilevskaya D.V., Yakovenko A.V., Naumov I.A., Ratnikov M.A. Assessment of the role of the state in the management of mineral resources. Journal of Mining Institute. 2023;259:95–111. https://doi.org/10.31897/PMI.2022.100

6. Сафрончук К.А., Князькина В.И., Иванов С.Л. Организация технического обслуживания и текущего ремонта горных машин в полевых условиях при помощи мобильных самоходных мастерских. Актуальные проблемы повышения эффективности и безопасности эксплуатации горношахтного и нефтепромыслового оборудования. 2019;1:82–86. Safronchuk K.A., Knyazkina V.I., Ivanov S.L. Organization of maintenance and repair of mining machinery in the field with the help of mobile self-propelled workshops. Aktualnye Problemy Povysheniya Effektivnosti i Bezopasnosti Ekspluatatsii Gornoshakhtnogo i Neftepromyslovogo Oborudovaniya. 2019;1:82–86. (In Russ.)

7. Ivanov S., Knyazkina V., Myakotnykh A. Recording gear-type pump acoustic signals for assessing the hydraulic oil impurity level in a hydraulic excavator transmission. E3S Web of Conferences. 2021;326:00014. https://doi.org/10.1051/e3sconf/202132600014

8. Лель Ю.И., Мещерягин Ю.Б., Ребрин Е.Ю. Исследование эксплуатации автосамосвалов различной грузоподъемности при доработке Карагайского карьера. Известия Уральского горного института. 1993;(3): 22–29. Lel Yu.I., Meshcheryagin Yu.B., Rebrin E.Yu. Research of exploitation of different capacity trucks at the Karagaysk deposit. Izvestiya Uralskogo Gornogo Instituta. 1993;(3):22–29. (In Russ.)

9. Nikolaev A., Plotnikova K. Study of the rheological properties and flow process of high-viscosity oil using depressant additives. Energies. 2023;16(17):6296. https://doi.org/10.3390/en16176296

10. Бочкарев Ю.С., Зырянов И.В. Повышение эффективности эксплуатации карьерных автосамосвалов при разработке россыпных месторождений Севера. Горный информационно-аналитический бюллетень. 2022;(5-2):80– 90. https://doi.org/10.25018/0236_1493_2022_52_0_80 Bochkaryov Yu.S., Zyryanov I.V. Improving the efficiency of operation quarry dump trucks on placer deposits in the north conditions. Mining Informational and Analytical Bulletin. 2022;(5-2):80–90. (In Russ.) https://doi.org/10.25018/0236_1493_2022_52_0_80

11. Кулешов А.А., Докукин В.П. Надежность горных машин и оборудования. СПб.: С.-Петерб. гос. горн. ин-т им. Г.В. Плеханова; 2004. 104 с. Kuleshov A.A., Dokukin V.P. Reliability of mining machines and equipment. St. Petersburg, St. Petersburg State Mining Institute named after G.V. Plekhanov; 2004, 104 p. (In Russ.)

12. Брауде В.И., Семенов Л.Н. Надежность подъемно-транспортных машин. Л.: Машиностроение; 1986. 182 с. Braude V.I., Semyonov L.N. Reliability of hoisting and hauling machines. Leningrad, Mashinostroenie Publ., 1986, 182 p. (In Russ.).

13. Вальков В.А., Виноградов К.П., Валькова Е.О., Мустафин М.Г. Создание растров высокой информативности по данным лазерного сканирования и аэрофотосъемки. Геодезия и картография. 2022;(11):40–49. https://doi.org/10.22389/0016-7126-2022-989-11-40-49 Valkov V.A., Vinogradov K.P., Valkova E.O., Mustafin M.G. Creating highly informative rasters based on laser scanning and aerial photography data. Geodesy and Cartography. 2022;(11):40–49. (In Russ.) https://doi.org/10.22389/0016-7126-2022-989-11-40-49

14. Выстрчил М.Г., Гусев В.Н., Сухов А.К. Методика определения погрешностей сегментированных GRID моделей открытых горных выработок, построенных по результатам аэрофотосъемки с беспилотного воздушного судна. Записки Горного института. 2023;262:562–570. Режим доступа: https://pmi.spmi.ru/pmi/article/view/16227 (дата обращения: 06.12.2023). Vystrchil M.G., Gusev V.N., Sukhov A.K. A method of determining the errors of segmented GRID models of open-pit mines constructed with the results of unmanned aerial photogrammetric survey. Journal of Mining Institute. 2023;262:562– 570. Available at: https://pmi.spmi.ru/pmi/article/view/16227 (accessed: 06.12.2023).

15. Nevskaya M., Raikhlin S., Vinogradova V., Belyaev V., Khaikin M. A Study of factors affecting national energy efficiency. Energies. 2023;16(13):5170. https://doi.org/10.3390/en16135170

16. Вишняков Г.Ю., Пушкарев А.Е., Ботян Е.Ю., Хлопонина В.С. Обоснование рациональных режимов работы карьерных автосамосвалов при сверхнормативной эксплуатации. Горный информационно-аналитический бюллетень. 2023;(11-1):24–37. https://doi.org/10.25018/0236_1493_2023_111_0_24 Vishnyakov G. Yu., Pushkarev A. E., Botyan E. Yu., Khloponina V. S. Justification of rational modes of operation of quarry dump trucks in case of over-normative operation. Mining Informational and Analytical Bulletin. 2023;(11-1):24–37. (In Russ.) https://doi.org/10.25018/0236_1493_2023_111_0_24

17. Yan Q.-D., Chen X.-Q., Jian H.-C., Wei W., Wang W.-D., Wang H. Design of a deep inference framework for required power forecasting and predictive control on a hybrid electric mining truck. Energy. 2022;238:121960. https://doi.org/10.1016/j.energy.2021.121960

18. Hasan H., Octariando R. The effect of road grade on dump truck fuel consumption. SAE Technical Paper. 2022:5030. https://doi.org/10.4271/2022-01-5030

19. Wang H.H. Underground mine planning optimization process to improve values and reduce risks. In: Mueller C., Assibey-Bonsu W., Baafi E., Dauber C., Doran C., Jaszczuk M., Nagovitsyn O. (eds) Mining Goes Digital: Proceedings of the 39th International Symposium “Application of Computers and Operations Research in the Mineral Industry” (APCOM 2019), June 4–6, 2019, Wroclaw, Poland. London: CRC Press; 2019, pp. 335–343. https://doi.org/10.1201/9780429320774-39

20. Wang Q., Zhang R., Lv S., Wang Y. Open-pit mine truck fuel consumption pattern and application based on multidimensional features and XGBoost. Sustainable Energy Technologies and Assessments. 2021;43:100977. https://doi.org/10.1016/j.seta.2020.100977