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

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 the 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 the growth of voids during deformation of pipeline steel at d...

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Bibliographic Details
Main Authors: Abdelmoumin Ouladbrahim, Idir Belaidi, Samir Khatir, Erica Magagnini, Roberto Capozucca, Magd Abdel Wahab
Format: Article
Language:English
Published: Gruppo Italiano Frattura 2021-09-01
Series:Frattura ed Integrità Strutturale
Subjects:
Steel X70
Impact test (CVN)
GTN parameters
FEM
Artificial neural network
Online Access:https://www.fracturae.com/index.php/fis/article/view/3253

Internet

https://www.fracturae.com/index.php/fis/article/view/3253

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