Estimating fatigue behavior of a family of aluminum overhead conductors using ANNs

This study aimed to create an artificial neural network (ANN) architecture capable of estimating the fatigue behavior of aluminum overhead conductors, considering specific weight (W) and bending stiffness (EI) as parameters of influence. ANN training and testing is conducted by using a dataset obtai...

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Veröffentlicht in:	Fatigue & fracture of engineering materials & structures 2021-04, Vol.44 (4), p.983-996
Hauptverfasser:	Cãmara, Eduardo César Bezerra, Kalombo, Remy B., Ferreira, Jorge L.A., Araújo, José Alexander, Freire Júnior, Raimundo Carlos Silverio
Format:	Artikel
Sprache:	eng
Schlagworte:	Aluminum aluminum overhead conductors Artificial neural networks Bending fatigue Conductors Estimation fatigue fatigue life prediction Fatigue tests Stiffness
Online-Zugang:	Volltext
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