Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Larysa Yuzevych"'
Autor:
Nellі Heorhiadi, Mykhailo Yasinskyi, B. P. Koman, Ruslan Skrynkovskyy, Lyudmila Yasinska-Damri, Larysa Yuzevych, Lyubomyr Sopilnyk, Roman Dzhala, Volodymyr Yuzevych, Larysa Yankovska
Publikováno v:
Eastern-European Journal of Enterprise Technologies, Vol 6, Iss 5 (102), Pp 23-29 (2019)
A new criterion of strength and a set of informative parameters have been devised for modelling the stressed-strained state (SSS) of the underground metal pipeline (UMP) taking into consideration the system of defects of the cavity type, atop of whic
Autor:
Larysa Yuzevych, Ruslan Skrynkovskyy, Volodymyr Yuzevych, Vitalii Lozovan, Grzegorz Pawlowski, Mykhailo Yasinskyi, Ihor Ogirko
Publikováno v:
Eastern-European Journal of Enterprise Technologies, Vol 4, Iss 5 (100), Pp 56-64 (2019)
A set of key parameters and information flows has been formed to simulate stages of probing the outside surface of underground metal pipelines (UMP) taking into account pH of the soil contacting with the pipe metal. Specimens of 17G1S steel placed in
Publikováno v:
Traektoriâ Nauki, Vol 3, Iss 9, Pp 1001-1008 (2017)
The article develops recommendations for improvement of normative documents concerning the quality of underground metal pipelines (gas pipelines) under conditions of fatigue and the impact of an aggressive environment, taking into account cathodic (e
Publikováno v:
EUREKA: Physics and Engineering. 4:49-60
Recommendations are worked out in relation to the evaluation of longevity and quality of underground metallic pipelines in the conditions of corrosion fatigue. The features of early exposure of crisis (before accident) situations are set. A complex q
Autor:
Mykola Mykyychuk, Larysa Yuzevych
Publikováno v:
Measuring Equipment and Metrology. 78:101-107
Autor:
Larysa Yuzevych
Publikováno v:
Measuring Equipment and Metrology. 77:136-142
Autor:
O. I. Ogirko, Law, Kulparkіvska St., Lviv, Ukraine, Zaklad Handlowo-Uslugowy Bhp', Kostrzynska St., Gorzyca, Poland, Larysa Yuzevych, Ruslan Skrynkovskyy, Grzegorz Pawlowski
Publikováno v:
Журнал інженерних наук, Vol 5, Iss 2, Pp E27-E32 (2018)
This paper presents results of the use of Big Data approach and neural network for the pipelines diagnosis problem. In this case the pipeline is in the conditions of crack growth of corrosion fatigue and exposed to hydrogen. It is proposed to use gra