Failure Pressure Prediction of Corroded High-Strength Steel Pipe Elbow Subjected to Combined Loadings Using Artificial Neural Network
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oai:scholars.utp.edu.my:371822023-09-07T04:32:49Z http://scholars.utp.edu.my/id/eprint/37182/ Failure Pressure Prediction of Corroded High-Strength Steel Pipe Elbow Subjected to Combined Loadings Using Artificial Neural Network Vijaya Kumar, Suria Devi Karuppanan, Saravanan Perumal, Veeradasan Ovinis, Mark MDPI 2023 Article NonPeerReviewed Vijaya Kumar, Suria Devi and Karuppanan, Saravanan and Perumal, Veeradasan and Ovinis, Mark (2023) Failure Pressure Prediction of Corroded High-Strength Steel Pipe Elbow Subjected to Combined Loadings Using Artificial Neural Network. Mathematics, 11 (7). p. 1615. |
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Vijaya Kumar, Suria Devi Karuppanan, Saravanan Perumal, Veeradasan Ovinis, Mark |
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Vijaya Kumar, Suria Devi Karuppanan, Saravanan Perumal, Veeradasan Ovinis, Mark Failure Pressure Prediction of Corroded High-Strength Steel Pipe Elbow Subjected to Combined Loadings Using Artificial Neural Network |
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Vijaya Kumar, Suria Devi Karuppanan, Saravanan Perumal, Veeradasan Ovinis, Mark |
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Vijaya Kumar, Suria Devi |
title |
Failure Pressure Prediction of Corroded High-Strength Steel Pipe Elbow Subjected to Combined Loadings Using Artificial Neural Network |
title_short |
Failure Pressure Prediction of Corroded High-Strength Steel Pipe Elbow Subjected to Combined Loadings Using Artificial Neural Network |
title_full |
Failure Pressure Prediction of Corroded High-Strength Steel Pipe Elbow Subjected to Combined Loadings Using Artificial Neural Network |
title_fullStr |
Failure Pressure Prediction of Corroded High-Strength Steel Pipe Elbow Subjected to Combined Loadings Using Artificial Neural Network |
title_full_unstemmed |
Failure Pressure Prediction of Corroded High-Strength Steel Pipe Elbow Subjected to Combined Loadings Using Artificial Neural Network |
title_sort |
failure pressure prediction of corroded high-strength steel pipe elbow subjected to combined loadings using artificial neural network |
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MDPI |
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2023 |
url |
http://scholars.utp.edu.my/id/eprint/37182/ |
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13.18916 |