Conducting a multifactor experiment to assess the dependence of the generalized dynamic coefficient on the operating conditions of dump trucks
Keywords:
planning a multivariate experiment, regression coefficient, regression equation, road quality, maneuverability, altitude above sea levelAbstract
This paper examines the key stages of planning and subsequent statistical processing of data from a multivariate experiment aimed at determining the generalized dynamic coefficient as a function of operating conditions. Key factors examined included road surface conditions, maneuvering intensity and nature, and speed parameters. The primary objective of the experiment was to construct an adequate mathematical model in the form of a regression equation establishing a quantitative relationship between the generalized dynamic coefficient and the specified operating parameters. The study used a multivariate experimental design method with variations in key operating parameters including load, driving speed and road surface conditions. The results were analyzed using mathematical modeling, regression, and variance analysis, allowing assessment of the reliability of the dependencies and the statistical significance of the factors. As a result, a mathematical model was developed that makes it possible to determine the quantitative influence of the studied parameters and present them in the form of a generalized dynamic coefficient. The most significant operational factors that significantly affect the dynamic characteristics of dump trucks have been identified. Key performance parameters that have the greatest impact on the dynamic performance of dump trucks have been identified. The results obtained can serve as a basis for improving existing methods for calculating performance indicators, as well as for increasing the efficiency of dump trucks operating in a variety of road conditionsReferences
Сайдуллозода С.С., Гаврилов К.В. Теоретические и практические аспекты оценки энергетических затрат автомобилей-самосвалов и модели их функционирования в карьерных условиях: монография. Душанбе: Ирфон, 2025. 164 с.
Сайдуллозода С.С. Оценка энергетических затрат автомобилей-самосвалов на основе модели их функционирования в горных условиях Республики Таджикистан: специальность 05.05.03 «Колесные и гусеничные машины»: дис. … канд. техн. наук. Челябинск, 2022. 174 с.
Воронков А.Г., Андрианов К.А. Оценка транспортно-эксплуатационного состояния автомобильной дороги: метод. указания. Тамбов: Изд-во ТГТУ, 2008. 24 с.
Pathak D. K., Thakur L. S., Rahman S. Performance evaluation framework for sustainable freight transportation systems // International Journal of Production Research. 2019. Vol. 57, no. 19. P. 6202–6222.
Жуковец А.Г., Бандюк Н.В. Содержание и ремонт автомобильных дорог: учебно-методическое пособие для выполнения курсового и дипломного проектирования. Гомель: БелГУТ, 2016. 61 с.
Road Safety Review update by using innovative technologies to investigate driver behavior / G. Navid, A. Ennia, V. Valeria et al. // Transportation Research Procedia. 2020. Vol. 45. P. 368–375.
Александров В.И., Васильева М.А., Коптев В.Ю. Эффективная мощность и скорость движения карьерных автосамосвалов в режиме топливной экономичности // Записки Горного института. 2019. Т. 239. С. 556–563.
Energy-efficiency models of sustainable urban transportation structure optimization / Y. Qiang, G. Tian, Y.Liu, Z. Li // IEEE Access. 2018. Vol. 6. P. 18192–18199.
К вопросу оценки качества карьерных автодорог/ Ю.И. Лель, С.А. Арефьев, А.В. Глебов, Д.Х. Ильбульдин // Известия Уральского государственного горного университета. 2016. № 3. С. 70–73.
Koptev V.Y., Kopteva A.V. Structure of energy consumption and improving open-pit dump truck efficiency // IOP Conference Series: Earth and Environmental Science. 2017. Vol. 87, Iss. 2, no. 022010.
Haque M.O., Haque T.H. Evaluating the effects of the road safety system approach in Brunei // Transportation Research Part A: Policy and Practice. 2018. Vol. 118. P. 594–607.
Troyanovskaya I. Influence of mountain conditions on road fuel consumption (example of the Republic of Tajikistan) // Transportation Research Procedia. 2022. Vol. 61. P. 273–279.
How does on road fuel economy vary with vehicle cumulative mileage and daily use? /
L.G. David, L. Jun, J.K. Asad et al. // Transportation Research Part D: Transport and Environment. 2017. Vol. 55. P. 142–161.
Jamous W., Balijepalli C. Assessing travel time reliability implications due to roadworks on private vehicles and public transport services in urban road networks // Journal of Traffic and Transportation Engineering (English Edition). 2018. Vol. 5, iss. 4. P. 296–308.
Зайцев А.В. Обработка результатов полного факторного эксперимента: методические указания к выполнению практической работы. Курган: КГУ, 2016. 23 с.
Зайцев А.В., Синицын С.Н., Фролов В.А. Планирование и обработка эксперимента при диффузионном хромировании деталей из серого чугуна // Вестник КГУ. Серия «Технические науки». 2011. Вып. 6, № 1 (20). С. 83–85.
Некрасов В.И. Многофакторный эксперимент. Планирование и обработка результатов: учебное пособие. Курган: Изд-во Курганского гос. ун-та, 1998. 146 с.
Рахимов Я.А., Этинген Л.Е., Белкин В.Ш. Человек и высокогорье. Душанбе: Ирфон, 1982. 96 с.
Wiese F., Baldini M. Conceptual model of the industry sector in an energy system model: a case study for Denmark // Journal of Cleaner Production. 2018. Vol. 203. P. 427–443.
Van Wee B., Van Den Brink R., Nijland H. Environmental impacts of high-speed rail links in cost-benefit analyses: a case study of the Dutch Zuider Zee line // Transportation Research Part D: Transport and Environment. 2003. Vol. 8, no. 4. P. 299–314.
