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

Prasshanth Perumal*, Saravanan Karuppanan, Mark Ovinis

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Fingerprint

    Dive into the research topics of 'Residual Strength Prediction of a Pipeline with Interacting Corrosion Defects Subjected to Combined Loading Using Artificial Neural Networks'. Together they form a unique fingerprint.

    Engineering

    Material Science