Artificial neural networks for burst pressure strength of corroded subsea pipelines repaired with composite fiber-reinforced polymer patches / Mohd Fakri Muda
The application of Composite Fiber-Reinforced Polymer (FRP) patches for rehabilitating corroded subsea pipelines is a burgeoning field in offshore technology. However, the current finite element analysis-based modeling is time-consuming and lacks comprehensive defect coverage. This underscores the r...
Saved in:
Main Author: | Muda, Mohd Fakri |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2023
|
Subjects: | |
Online Access: | https://ir.uitm.edu.my/id/eprint/102194/1/102194.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Crack propagations in pipeline under combined internal pressure torsional loading /
by: Ibrahim, Muhammad Erlangga
Published: (2015) -
Development of hybrid problem solving method for subsea industry
by: Md Tohit, Khairul Nizam
Published: (2018) -
Some Effects of Subsea Water Pipeline Construction on Sessile Benthic Community Structure of Redang Island, Malaysia
by: Rezai-Marnani, Hamid
Published: (1998) -
Pipeline network analysis using linear theory method / Mohd. Zulkifli Abdullah
by: Abdullah, Mohd. Zulkifli
Published: (1992) -
Collapse & post collapse dynamics of dented deepwater pipelines /
by: Ramesh Ramasamy
Published: (2013)