Search Results - "Freire Júnior, RCS"

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  1. 1

    Probabilistic S-N fields based on statistical distributions applied to metallic and composite materials: State of the art by Barbosa, Joelton Fonseca, Correia, José AFO, Freire Júnior, RCS, Zhu, Shun-Peng, De Jesus, Abílio MP

    Published in Advances in Mechanical Engineering (01-08-2019)
    “…Fatigue life prediction of materials can be modeled by deterministic relations, via mean or median S-N curve approximation. However, in engineering design, it…”
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    Book Review Journal Article
  2. 2

    Fatigue life prediction of metallic materials considering mean stress effects by means of an artificial neural network by Barbosa, Joelton Fonseca, Correia, José A.F.O., Júnior, R.C.S. Freire, Jesus, Abílio M.P. De

    Published in International journal of fatigue (01-06-2020)
    “…•A constant life diagram modelling based on artificial neural network is proposed.•An artificial neural network based on a MLP network trained with the BPM is…”
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    Journal Article
  3. 3

    Fatigue life estimation of an all aluminium alloy 1055 MCM conductor for different mean stresses using an artificial neural network by Kalombo, R.B., Pestana, M.S., Freire Júnior, R.C.S., Ferreira, J.L.A., Silva, C.R.M., Veloso, L.A.C.M., Câmara, E.C.B., Araújo, J.A.

    Published in International journal of fatigue (01-11-2020)
    “…•27 new fatigue data for an AAAC 1055 MCM conductor by varying mean stress.•Use of ANN to estimate the effect of the mean tensile stress on the fatigue…”
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    Journal Article