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

• Дата: 2018
• Автори: Biblik, Irina V., Avramov, Konstantin V., Rusanov, Roman A.
• Формат: Стаття
• Мова: English; Russian
• Опубліковано: Journal of Mechanical Engineering 2018
• Теми: neural networks; computer simulation; flow accelerated corrosion; UDC 621.039; 004.94; нейронные сети; компьютерное моделирование; эрозионно-коррозионный износ; УДК 621.039; нейронні мережі; комп'ютерне моделювання; ерозійно-корозійний знос
• Онлайн доступ: https://journals.uran.ua/jme/article/view/144153
• Назва журналу: Journal of Mechanical Engineering

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...