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...
Saved in:
| Date: | 2018 |
|---|---|
| Main Authors: | , , |
| Format: | Article |
| Language: | English |
| Published: |
Інстиут проблем машинобудування ім. А.М. Підгорного НАН України
2018
|
| Series: | Проблеми машинобудування |
| Subjects: | |
| Online Access: | https://nasplib.isofts.kiev.ua/handle/123456789/158792 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Journal Title: | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| Cite this: | 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. |