Sensitivity analysis of the GTN damage parameters at different temperature for dynamic fracture propagation in X70 pipeline steel using neural network

In this paper, the initial and maximum load was studied using Finite Element Modeling (FEM) analysis during impact testing (CVN) of pipeline X70 steel. The Gurson-Tvergaard-Needleman (GTN) constitutive model has been used to simulate growth voids deformation steel at different temperatures. FEM simulations results study sensitivity with GTN parameters values proposed variation Finally, applied artificial neural network (ANN) is predict for a given set damage temperatures, based on obtained, able provide satisfactory approximation initiation in Steel.