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R.C.S. Freire Júnior
R.C.S. Freire Júnior
Federal University of Rio Grande do Norte
Ultimate tensile strength
Materials science
Artificial neural network
Composite material
Probabilistic logic
2
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38
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Fatigue life prediction of metallic materials considering mean stress effects by means of an artificial neural network
2020
International Journal of Fatigue
Joelton Fonseca Barbosa
José A.F.O. Correia
R.C.S. Freire Júnior
Abílio M.P. de Jesus
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Citations (34)
Fatigue life estimation of an all aluminium alloy 1055 MCM conductor for different mean stresses using an artificial neural network
2020
International Journal of Fatigue
R.B. Kalombo
M.S. Pestana
R.C.S. Freire Júnior
J.L.A. Ferreira
Cosme Roberto Moreira Silva
L. A. C. M. Veloso
Eduardo César Bezerra Câmara
José Alexander Araújo
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Citations (4)
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