Abstract The purpose of this work is the development a trained artificial neural network for surrogate modeling mechanical response elasto-viscoplastic grain microstructures. To end, U-Net-based convolutional (CNN) using results von Mises stress field from numerical solution initial-boundary-value problems (IBVPs) equilibrium in such microstructures subject to quasi-static uniaxial extension. r...

Three-dimensional finite transient deformations of polycarbonate (PC) panels impacted at low velocity by a hemispherical-nosed rigid cylinder have been studied by using the commercial finite element software LS-DYNA with a thermo–elasto–viscoplastic material model for the PC incorporated in it as a user defined subroutine. The implementation of the subroutine has been verified by comparing anal...

Strain softening is responsible for mesh dependence in numerical analyses concerning a vast variety of fields such as solid mechanics, dynamics, biomechanics and geomechanics. Therefore, methods that regularize strain localization are paramount the analysis design engineering products systems. In this paper we revisit elasto-viscoplastic, strain-softening, strain-rate hardening model means to a...

This report describes a first study into the possibility of developing a hybrid experimental/numerical technique that enables the full characterization of the finite strain behavior of glassy polymers such as polycarbonate and polystyrene. The numerical and experimental techniques involved are Finite Element Models based on a finite strain elasto-viscoplastic constitutive model and indentation ...

We propose a universal method for the evaluation of generalized standard materials that greatly simplifies material law implementation process. By means automatic differentiation and numerical integration scheme, AutoMat reduces effort to two potential functions. moving GPU, we close performance gap conventional routines demonstrate in detail expression level reverse mode as well its extension ...