Material Modeling with the Visco-Plastic Self-Consistent (VPSC) Approach. Theory and Practical Applications. Elsevier Series on Plasticity of Materials

Table of Contents

1. Introduction
2. Theory and Models for Thermo-Elastic Effective Media
3. Theories and Models for Visco-Plastic Effective Media
4. Constitutive Models for Slip and Twinning
5. Description of Visco-Plastic Self-Consistent Code
6. Examples and Applications of Visco-Plastic Self-Consistent Code

Authors

Carlos N. Tome Laboratory Fellow, Los Alamos National Laboratory; Professor, National University of La Plata, Argentina. Dr. Tome is a Laboratory Fellow at Los Alamos National Laboratory where he started at in 1996 as Scientist. Prior he was a Professor at the National University of La Plata (Argentina). For the last 35 years his research interest has been on elastic, plastic, and creep behavior of polycrystalline aggregates, with a focus on development of constitutive equations at the single crystal level for low symmetry metals and geologic materials. His research includes pioneering the theoretical and numerical modeling of mechanical behavior of polycrystals with a focus on the role played by texture, twinning, and microstructure. He has over 200 peer-reviewed publications with over 20k citations. He has co-authored multiple books and has won multiple awards. Ricardo A. Lebensohn Senior Scientist, Los Alamos National Laboratory's Theoretical Division, Fluid Dynamics, and Solid Mechanics Group, USA. Dr. Lebensohn is Senior Scientist of Los Alamos National Laboratory's Theoretical Division, Fluid Dynamics, and Solid Mechanics Group. He is an expert in structure/property relationships and crystal plasticity modeling. His original contributions in terms of wide-spread materials modeling and simulation tools include the viscoplastic self-consistent (VPSC) code, a homogenization-based crystal plasticity formulation for the prediction of mechanical response, anisotropy, and microstructure evolution of polycrystalline materials, as well as Fast Fourier Transform (FFT)-based codes, for efficient prediction of micromechanical fields in polycrystalline aggregates. He has published more than 130 peer-reviewed journal papers that have received more than 8900 citations.