Residual Strength Prediction of a Pipeline with Interacting Corrosion Defects Subjected to Combined Loading Using Artificial Neural Networks

• Main Authors: Perumal, P., Karuppanan, S., Ovinis, M.
• Format: Article
• Published: 2023
• Online Access: http://scholars.utp.edu.my/id/eprint/34184/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85140791285&doi=10.1007%2f978-981-19-1939-8_55&partnerID=40&md5=629abd78a073d4fd452410dc74b2791b
• Institution: Universiti Teknologi Petronas

Predicting the failure pressure of corroded pipelines has long been a topic of great interest for researchers all around the world.There are several methods and guidelines available to estimate the failure pressures of pipelines with the most commonly used being DNV-RP-F101.However, despite being th...