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Название: Forecasting the Life of a Structure Relative to the Operating Mode
Авторы: Ogorelkov, D. A.
Lukashuk, O. A.
Дата публикации: 2021
Издатель: IOP Publishing Ltd
IOP Publishing
Библиографическое описание: Ogorelkov D. A. Forecasting the Life of a Structure Relative to the Operating Mode / D. A. Ogorelkov, O. A. Lukashuk // Journal of Physics: Conference Series. — 2021. — Vol. 2094. — Iss. 4. — 42061.
Аннотация: The question of forecasting the service life of transport machines designed by taking into consideration the load spectrum, that is close to the real one, is an important problem at the calculation. One of the ways to simulate real operating conditions at the design calculation is a method of randomization quasirandom loads. Methods of randomization are widely used in many areas of science and technique. In the article, the numeric comparison of different ways of randomization is shown at the calculation for determining the service time using two techniques: the use of a standardized function of randomization in the high-level programming language of the and the law of normal distribution at its different parameters. The use of the law of normal distribution makes the more exact fatigue calculation because it makes it possible to simulate the quasirandom process that corresponds to the real operation picture to a greater degree. The results presented in the work make it possible to fulfill the calculation of the service time of the metallic structure that is under cyclic asymmetric loads, at the well-known nature of the application of loading to it. © 2021 Institute of Physics Publishing. All rights reserved.
Ключевые слова: HIGH LEVEL LANGUAGES
NORMAL DISTRIBUTION
DESIGN CALCULATIONS
HIGH-LEVEL PROGRAMMING LANGUAGE
HIGHER-LEVEL PROGRAMMING LANGUAGES
LOAD SPECTRUM
OPERATING MODES
QUASI-RANDOM
RANDOMISATION
REAL OPERATING CONDITIONS
SERVICE TIME
TRANSPORT MACHINES
RANDOM PROCESSES
URI: http://elar.urfu.ru/handle/10995/112017
Условия доступа: info:eu-repo/semantics/openAccess
Конференция/семинар: 3rd International Scientific Conference on Applied Physics, Information Technologies and Engineering, APITECH-III 2021
Дата конференции/семинара: 24 September 2021 through 3 October 2021
Идентификатор SCOPUS: 85122042777
Идентификатор PURE: 29213220
ISSN: 1742-6588
DOI: 10.1088/1742-6596/2094/4/042061
Располагается в коллекциях:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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