Failure Pressure Prediction of Medium to High Toughness Pipe with Circumferential Interacting Corrosion Defects Subjected to Combined Loadings Using Artificial Neural Network

Suria Devi Vijaya Kumar*, Michael Lo, Saravanan Karuppanan, Mark Ovinis

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    2 Citations (SciVal)
    Original languageEnglish
    Article number4120
    JournalApplied Sciences (Switzerland)
    Volume12
    Issue number9
    DOIs
    Publication statusPublished (VoR) - 1 May 2022

    Funding

    Funding: This work was supported by Yayasan Universiti Teknologi PETRONAS, Malaysia (015LC0-110) and the Ministry of Higher Education, Malaysia (FRGS/1/2018/TK03/UTP/02/1).

    FundersFunder number
    Ministry of Higher Education, MalaysiaFRGS/1/2018/TK03/UTP/02/1
    Yayasan UTP015LC0-110

      Keywords

      • artificial neural network
      • combined loading
      • corrosion assessment method
      • finite element analysis
      • interacting defects

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