Artificial neural networks in spectrum fatigue life prediction of composite materials

An artificial neural network has been proved to be a sufficient tool for modelling fatigue life of multidirectional composite laminates made of GFRP composite materials and tested under constant amplitude loading patterns. Modelling efficiency of the network was satisfactory for both on- and off-axi...

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Veröffentlicht in:	International journal of fatigue 2007, Vol.29 (1), p.20-29
Hauptverfasser:	Vassilopoulos, Anastasios P., Georgopoulos, Efstratios F., Dionysopoulos, Vasileios
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Artificial neural network Composites Constant life diagrams Exact sciences and technology Fatigue Mechanical properties and methods of testing. Rheology. Fracture mechanics. Tribology Metals. Metallurgy Variable amplitude
Online-Zugang:	Volltext
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