Discrete Element Method to Model 3D Continuous Materials

Description

Complex behavior models (plasticity, crack, visco-elascticity) are facing several theoretical difficulties in determining the behavior law at the continuous (macroscopic) scale. When homogenization fails to give the right behavior law, a solution is to simulate the material at a mesoscale using the discrete element model (DEM) in order to directly simulate a set of discrete properties that are responsible for the macroscopic behavior. Originally, the discrete element model was developed for granular material.

This book, the first in the Discrete Element Model and Simulation of Continuous Materials Behavior set of books, shows how this model is capable of solving the problem of complex continuous material behaviors that are linked to discrete mesoscale effects. The authors explain in a clear and simple manner the numerical way to build a DEM simulation that gives the right macroscopic material properties, e.g. Young Modulus, Poisson Ratio, thermal conductivity, etc. Then, they move on to show how this numerical tool offers a new and powerful method for the analysis and modeling of crack, damage and finally failure of a component.

Contents

1. State of the Art: Discrete Element Modeling.
2. Discrete Element Modeling of Mechanical Behavior of Continuous Materials.
3. Discrete Element Modeling of Thermal Behavior of Continuous Materials.
4. Discrete Element Modeling of Brittle Fracture.

About the authors/editors

Mohamed Jebahi is a post-doctoral researcher at the Institute of Mechanics and Engineering of Bordeaux, France, and Laval University, Quebec, Canada.

Damien Andre is Assistant Professor at the Higher National School for Industrial Ceramics, France.

Inigo Terreros is a researcher at the Institute of Mechanics and Engineering of Bordeaux, France.

Ivan Iordanoff is Director of Research and Innovation at Ecole Nationale Supérieure d’Arts et Métiers, ParisTech, France.

Downloads

Table of Contents
PDF File 33 Kb

Related subjects

• Numerical Methods in Engineering
• Mechanical Engineering and Solid Mechanics