Modeling and simulation of low-cycle fatigue life of steel reinforcing bars using artificial neural network

This publication has 13 references indexed in Scilit:

• Low‐cycle fatigue life behaviour of BS 460B and BS B500B steel reinforcing bars
  Fatigue & Fracture of Engineering Materials & Structures, 2010
• Application of Artificial Neural Network to Forecast the Tensile Fatigue Life of Carbon Material
  Key Engineering Materials, 2008
• A neural network model to predict low cycle fatigue life of nitrogen-alloyed 316L stainless steel
  Materials Science and Engineering: A, 2008
• Prediction of fatigue life for spot welds using back-propagation neural networks
  Materials & Design (1980-2015), 2007
• Modeling the mechanical behavior of fiber-reinforced polymeric composite materials using artificial neural networks—A review
  Composite Structures, 2006
• Application of artificial neural network for predicting strain-life fatigue properties of steels on the basis of tensile tests
  International Journal of Fatigue, 2004
• Low cycle fatigue and creep–fatigue interaction behavior of 316L(N) stainless steel and life prediction by artificial neural network approach
  International Journal of Fatigue, 2003
• Artificial neural networks applied to polymer composites: a review
  Composites Science and Technology, 2003
• The use of neural networks for the prediction of fatigue lives of composite materials
  Composites Part A: Applied Science and Manufacturing, 1999
• MEAN STRESS EFFECTS ON LOW CYCLE FATIGUE FOR A HIGH STRENGTH STEEL
  Fatigue & Fracture of Engineering Materials & Structures, 1991