Fracture toughness evaluation using miniature specimen test and neural network

@inproceedings{Partheepan2008FractureTE,
  title={Fracture toughness evaluation using miniature specimen test and neural network},
  author={Ganesan Partheepan and Dhruv Sehgal and Ravindra K Pandey},
  year={2008}
}
Abstract Fracture toughness value of in-service materials is predicted in a virtually non-destructive fashion. Standard test methods for predicting the fracture toughness require the removal of large material samples from the in-service component, which is impractical. To overcome this difficulty, artificial neural network model has been employed over the miniature test on currently developed dumb-bell shaped miniature specimen. The model is based on feed-forward neural networks, trained with… CONTINUE READING