Prediction of Flow Accelerated Corrosion of NPP Pipeline Elements by Network Simulation Method

• Datum: 2018
• Hauptverfasser: Biblik, Irina V., Avramov, Konstantin V., Rusanov, Roman A.
• Format: Artikel
• Sprache: English; Russian
• Veröffentlicht: Інститут енергетичних машин і систем ім. А. М. Підгорного Національної академії наук України 2018
• Schlagworte: neural networks; computer simulation; flow accelerated corrosion; UDC 621.039; 004.94
• Online Zugang: https://journals.uran.ua/jme/article/view/144153
• Назва журналу: Energy Technologies & Resource Saving

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...