TY - JOUR
T1 - Empirical Failure Pressure Prediction Equations for Pipelines with Longitudinal Interacting Corrosion Defects Based on Artificial Neural Network
AU - Vijaya Kumar, Suria Devi
AU - Lo, Michael
AU - Karuppanan, Saravanan
AU - Ovinis, Mark
N1 - Publisher Copyright:
© 2022 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2022/6
Y1 - 2022/6
KW - artificial neural network
KW - failure pressure prediction
KW - pipeline corrosion
UR - http://www.scopus.com/inward/record.url?scp=85132012852&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85132012852&partnerID=8YFLogxK
U2 - 10.3390/jmse10060764
DO - 10.3390/jmse10060764
M3 - Article
AN - SCOPUS:85132012852
SN - 2077-1312
VL - 10
JO - Journal of Marine Science and Engineering
JF - Journal of Marine Science and Engineering
IS - 6
M1 - 764
ER -