Residual Strength Prediction of a Pipeline with Interacting Corrosion Defects Subjected to Combined Loadings using Artificial Neural Networks

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Main Author: Perumal, Prasshanth
Format: Thesis
Published: 2023
Online Access:http://utpedia.utp.edu.my/id/eprint/27961/
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id oai:utpedia.utp.edu.my:27961
record_format eprints
spelling 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.
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider 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/
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score 13.18916