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

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

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...

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Bibliographic Details
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
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Institution: Universiti Teknologi Petronas

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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

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