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...

Observed avalanche flows of dense granular material have the property to present two possible behaviors: static (solid) or flowing (fluid). In such situation, an important challenge is to describe mathematically the evolution of the physical interface between the two phases. In this work we derive a set of equations that is able to manage the dynamics of such interface, in the so-called shallow...

Soft materials undergo large mechanical deformation prior to failure when subjected external loads. They exhibit nonlinearity alongside coupled elastic, viscous, and plastic behavior due their multi-phase material composition, hierarchical structure, multiple length time scale effects. It is thus, mandatory understand the nonlinear of soft from a fundamental perspective. In this work, we propos...

Solder materials are critical packaging compounds and due to usually weakest melting temperature among packaging constitutive materials, thus, they are frequently subjected to a multitude of physical phenomena: creep, fatigue and combined hardening effects. The complexity and interaction of such factors must be considered in suitable way in the mechanical behavior modeling using the appropriate...

Starting from the exact solution of heterogeneous linear viscoelastic Eshelby ellipsoidal inclusion problem obtained in time domain for an embedded isotropic matrix (Berbenni et al., 2015), a direct time-incremental homogenization Mori–Tanaka scheme two-phase non elasto-viscoplastic materials is proposed. The extension to non-linear behavior based on “modified secant” formulation obtain compari...

We present a numerical algorithm for the simulation of the impact of hyperelastic-viscoplastic materials in two dimensions. There are several distinctive aspects of our approach. The governing equations are based on a fully conservative Eulerian formulation due to Plohr and Sharp and our modiication of the Steinberg-Lund rate dependent plasticity model. An approximate 2D Riemann solver is const...

A method using experimental nanoindentation and inverse finite-element analysis (FEA) has been developed that enables the spatial variation of material constitutive properties to be accurately determined. The method was used to measure property variation in a three-dimensional printed (3DP) polymeric material. The accuracy of the method is dependent on the applicability of the constitutive mode...

Introduction. In engineering practice, dynamic processes, with the help of which mechanics interaction machine components and structural elements are described studied, great importance. These processes cause large deformations leading to destruction. The research objective is develop a more accurate shock simulation algorithm through controlled transformation mechanorheological process model f...

Abstract Fatigue failure plays an important role in engineering applications, especially when structural components experience significant cyclic thermal loading and complex force simultaneously. During the last decades, several post‐processing techniques have been developed based on empirical investigations of experimental evidence to predict fatigue life materials. The work at hand postulates...