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

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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Item Type:	Thesis (Masters)
Impact Factor:	Submitted
Depositing User:	Mr Ahmad Suhairi Mohamed Lazim
Date Deposited:	19 Jul 2024 04:15
Last Modified:	05 Aug 2024 02:38
URI:	http://utpedia.utp.edu.my/id/eprint/27961

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