Fatigue Life Assessment of Polymer-Matrix Composites Under Variable Amplitude Loading Using Neural Networks
In the current study, Multi Layer Perceptron (MLP) based neural networks (NN) model with one hidden layer was utilized to predict fatigue lives of polymer-matrix composites under wide spectrum of fatigue stress ratios. E-glass/epoxy (Material I), E-glass/polyester (Material II) and AS4/PEEK (Mater...
Saved in:
Similar Items
-
Optimizing Neural Network Prediction of Composite Fatigue Life Under Variable Amplitude Loading Using Bayesian Regularization
by: Megat-Yusoff, Puteri Sri Melor
Published: (2009) -
Fatigue Life Behaviour Of Fiberglass Reinforced Composites Subjected To Constant And Variable Amplitude Loadings
by: Jimit, Roy Hanson
Published: (2019) -
Prediction of Fatigue Life on Lower Suspension Arm Subjected To Variable Amplitude Loading
by: M. M., Rahman, et al.
Published: (2010) -
Prediction of fatigue life on lower suspension arm subjected to variable amplitude loading
by: Zulkifli, Husin
Published: (2010) -
Fatigue Life Assessment for Metallic Structure: A Case Study of Shell Structure under Variable Amplitude Loading
by: M. M., Rahman, et al.
Published: (2008)