Failure pressure prediction of pipeline with single corrosion defect using artificial neural network
This paper describes the development and application of artificial neural network (ANN) to predict the failure pressure of single corrosion affected pipes subjected to internal pressure only. The development of the ANN model is based on the results of sets of full-scale burst test data of pipe grade...
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| Main Authors: | Chin, K.T., Arumugam, T., Karuppanan, S., Ovinis, M. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.29456 / |
| Published: |
Transneft Media, LLC
2021
|
| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112545678&doi=10.28999%2f2541-9595-2021-11-2-166-171&partnerID=40&md5=d8585634ed98af8f852810172a547412 http://eprints.utp.edu.my/29456/ |
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