Prediction of Flow Accelerated Corrosion of NPP Pipeline Elements by Network Simulation Method
Based on a comprehensive approach that uses the computer simulation of the process of destroying structural materials and technology of self-learning neural networks, a methodology has been developed for predicting the rate of flow accelerated corrosion (FAC) of pipeline elements with a single-phase...
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| Datum: | 2018 |
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| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | English |
| Veröffentlicht: |
Інстиут проблем машинобудування ім. А.М. Підгорного НАН України
2018
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| Schriftenreihe: | Проблеми машинобудування |
| Schlagworte: | |
| Online Zugang: | https://nasplib.isofts.kiev.ua/handle/123456789/158792 |
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| Назва журналу: | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| Zitieren: | Prediction of Flow Accelerated Corrosion of NPP Pipeline Elements by Network Simulation Method / I.V. Biblik, K.V. Avramov, R.A. Rusanov // Проблеми машинобудування. — 2018. — Т. 21, № 3. — С. 13-19. — Бібліогр.: 8 назв. — англ, рос. |