• Fatigue life prediction of the additively manufactured specimen 

      Paul, Surajit Kumar; Tarlochan, Faris; Hilditch, Timothy ( IOP Publishing Ltd , 2022 , Article)
      Additively manufactured specimens generally exhibit comparable or improved tensile properties, such as yield stress, ultimate tensile strength, and uniform elongation, compared to conventionally manufactured specimens. ...
    • Probabilistic Machine Learning for Fatigue Data 

      Shady, Omar Tawfik; Renno, Jamil; Mohamed, M. Shadi; Sassi, Sadok; Muthalif, Asan G. A. (2021 , Dataset)
      Probabilistic neural networks (PNNs) are used to model the fatigue of metals and to model the vibration/stress relationship in process pipework. The data used in training the network and the network architecture are provided ...
    • Using probabilistic neural networks for modeling metal fatigue and random vibration in process pipework 

      Nashed, Mohamad Shadi; Mohamed, M Shadi; Shady, Omar Tawfik; Renno, Jamil ( John Wiley and Sons Inc , 2022 , Article)
      Many experiments are usually needed to quantify probabilistic fatigue behavior in metals. Previous attempts used separate artificial neural network (ANN) to calculate different probabilistic ranges which can be computationally ...