Predicting the failure of plain dent pipeline subjected to cyclic loads using an artificial neural network-Reference-Cited by-同舟云学术

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Predicting the failure of plain dent pipeline subjected to cyclic loads using an artificial neural network

Published:2023-12-16 Issue: Volume:1156 Page:179-186
ISSN:
Container-title:2023 7th IEEE Congress on Information Science and Technology (CiSt)
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Author:

Kiri Yassine El¹,Mighouar Zakaria¹,Zahiri Laidi¹,Mansouri Khalifa¹,Ouardi Soufiane El¹,Chaiti Hammadi¹

Affiliation:

1. Hassan II University,Laboratory of Modeling and Simulation of Intelligent Industrial Systems ENSET,MOHAMMEDIA,Morocco

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10409867/10409868/10409983.pdf?arnumber=10409983

Reference18 articles.

1. Classification and Comparison of Crack and Dent Defects in a Metal Pipe Subjected to Variable Amplitude Loading

2. Inhibition of API 5L X52 Pipeline Steel Corrosion in Acidic Medium by Gemini Surfactants: Electrochemical Evaluation and Computational Study

3. Investigation of Water Hammer Effect Through Pipeline System

4. Evaluation of Failure Pressure for Gas Pipelines with Combined Defects

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