?url_ver=Z39.88-2004&rft_id=10.3390%2Fmet11020373&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.au=Kumar%2C+S.D.V.&rft.aulast=Kumar&rft.aufirst=S.D.V.&rft.issue=2&rft.date=2021&rft.pages=1-25&rft.volume=11&rft.issn=20754701&rft.atitle=Failure+pressure+prediction+of+high+toughness+pipeline+with+a+single+corrosion+defect+subjected+to+combined+loadings+using+artificial+neural+network+(Ann)&rft.title=Metals&rft.genre=article