Residual Strength Prediction of a Pipeline with Interacting Corrosion Defects Subjected to Combined Loadings using Artificial Neural Networks
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2023
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| Online Access: | http://utpedia.utp.edu.my/id/eprint/27961/ |
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oai:utpedia.utp.edu.my:279612024-08-05T02:38:10Z http://utpedia.utp.edu.my/id/eprint/27961/ Residual Strength Prediction of a Pipeline with Interacting Corrosion Defects Subjected to Combined Loadings using Artificial Neural Networks Perumal, Prasshanth 2023 Thesis NonPeerReviewed Perumal, Prasshanth (2023) Residual Strength Prediction of a Pipeline with Interacting Corrosion Defects Subjected to Combined Loadings using Artificial Neural Networks. Masters thesis, UNSPECIFIED. |
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Universiti Teknologi Petronas |
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UTP Resource Centre |
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Institutional Repository |
| continent |
Asia |
| country |
Malaysia |
| content_provider |
Universiti Teknologi Petronas |
| content_source |
UTP Electronic and Digitized Intellectual Asset |
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http://utpedia.utp.edu.my/ |
| format |
Thesis |
| author |
Perumal, Prasshanth |
| spellingShingle |
Perumal, Prasshanth Residual Strength Prediction of a Pipeline with Interacting Corrosion Defects Subjected to Combined Loadings using Artificial Neural Networks |
| author_facet |
Perumal, Prasshanth |
| author_sort |
Perumal, Prasshanth |
| title |
Residual Strength Prediction of a Pipeline with Interacting Corrosion Defects Subjected to Combined Loadings using Artificial Neural Networks |
| title_short |
Residual Strength Prediction of a Pipeline with Interacting Corrosion Defects Subjected to Combined Loadings using Artificial Neural Networks |
| title_full |
Residual Strength Prediction of a Pipeline with Interacting Corrosion Defects Subjected to Combined Loadings using Artificial Neural Networks |
| title_fullStr |
Residual Strength Prediction of a Pipeline with Interacting Corrosion Defects Subjected to Combined Loadings using Artificial Neural Networks |
| title_full_unstemmed |
Residual Strength Prediction of a Pipeline with Interacting Corrosion Defects Subjected to Combined Loadings using Artificial Neural Networks |
| title_sort |
residual strength prediction of a pipeline with interacting corrosion defects subjected to combined loadings using artificial neural networks |
| publishDate |
2023 |
| url |
http://utpedia.utp.edu.my/id/eprint/27961/ |
| _version_ |
1806691146192125952 |
| score |
13.214268 |