Skip to main navigation Skip to search Skip to main content

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
    • Universiti Teknologi Petronas

    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.
    Sort by

    Engineering

    Material Science