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

Product Description Material Modeling with the Visco-Plastic Self-Consistent (VPSC) Approach: Theory and Practical Applications provides readers with knowledge of material viscoplasticity and robust modeling approaches for predicting plastic deformation of crystal aggregates. Visco-Plastic Self-Consistent (VPSC) is the identifier of a computer code developed for the specific mechanical regime addressed (visco-plastic: VP) and the approach used (self-consistent: SC) meant to simulate large plastic deformation of aggregates, thermo-elastic material deformation, as well as predict stress-strain response, texture evolution of aggregates and stress-strain state inside grains. This approach is very versatile and able to tackle arbitrary material symmetry (cubic, hexagonal, trigonal, orthorhombic, triclinic), twinning, and multiphase aggregates. It accounts for hardening, reorientation and shape change of individual grains, and can be applied to the deformation of metals, inter-metallics and geologic aggregates. Readers will have access to a companion website where they can download code and modify its input/output or add subroutines covering specific simulation research needs. Review Provides readers with both foundational knowledge of material viscoplasticity as well as robust modeling approaches for predicting plastic deformation of crystal aggregates From the Back Cover <i>Material Modeling with the Visco-Plastic Self-Consistent (VPSC) Approach: Theory and Practical Applications </i>provides readers with both a foundational knowledge of material viscoplasticity as well as a robust modeling approach for predicting plastic deformation of crystal aggregates. Visco-Plastic Self-Consistent (VPSC) is the identifier of a computer code developed by the authors based on the specific mechanical regime addressed (visco-plastic: VP) and the approach used (self-consistent: SC) meant to simulate large plastic deformation of aggregates, thermo-elastic material deformation, as well as predict stress-strain response, texture evolution of aggregates, and stress-strain state inside grains. This approach is very versatile, able to tackle arbitrary material symmetry (cubic, hexagonal, trigonal, orthorhombic, monoclinic, triclinic), twinning, and multiphase aggregates. It accounts for hardening, reorientation, and shape change of individual grains, and can be applied to deformation of metals, inter-metallics, and geologic aggregates. Readers will have access to a companion website from where they can download the code and modify its input/output or add subroutines covering specific simulation research needs. About the Author 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. 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 Fouri