pages
292
ISBN
9781786302595

Mechanical behaviors of materials are highly influenced by their architectures and/or microstructures. Hence, progress in material science involves understanding and modeling the link between the microstructure and the material behavior at different scales. This book gathers contributions from eminent researchers in the field of computational and experimental material modeling. It presents advanced experimental techniques to […]

Acheter sur Amazon
Disponible sur Amazon

Mechanical behaviors of materials are highly influenced by their architectures and/or microstructures. Hence, progress in material science involves understanding and modeling the link between the microstructure and the material behavior at different scales.

This book gathers contributions from eminent researchers in the field of computational and experimental material modeling. It presents advanced experimental techniques to acquire the microstructure features together with dedicated numerical and analytical tools to take into account the randomness of the micro-structure.

Macro phenomenological models based on a fine modeling of the key phenomena at the micro-scale are presented and the influence of the parameters of the micro-scale models are analyzed in terms of their effects on the behavior at the upper scales.

Finally, this book illustrates how the increasing complexity of models brings challenging issues related to identification and simulation and presents on-the-edge numerical strategies to overcome those issues.

1. Synchrotron Imaging and Diffraction for In Situ 3D Characterization of Polycrystalline Materials. 2. Determining the Probability of Occurrence of Rarely Occurring Microstructural Configurations for Titanium Dwell Fatigue. 3. Wave Propagation Analysis in 2D Nonlinear Periodic Structures Prone to Mechanical Instabilities. 4. Multiscale Model of Concrete Failure. 5. Discrete Numerical Simulations of the Strength and Microstructure Evolution During Compaction of Layered Granular Solids. 6. Microstructural Views of Stresses in Three-Phase Granular Materials. 7. Effect of the Third Invariant of the Stress Deviator on the Response of Porous Solids with Pressure-Insensitive Matrix. 8. High Performance Data-Driven Multiscale Inverse Constitutive Characterization of Composites. 9. New Trends in Computational Mechanics: Model Order Reduction, Manifold Learning and Data-Driven.

Delphine Brancherie

Delphine Brancherie is Associate Professor in the Department of Mechanical Engineering at the University of Technology of Compiegne, France. Her research works fit into the field of computational mechanics with a particular interest in modeling inelastic materials until rupture.

Pierre Feissel is Professor in the Department of Mechanical Engineering at the University of Technology of Compiegne, France. His research work is dedicated to the bridging between computational and experimental mechanics, with a particular interest in the treatment of uncertainty.

Salima Bouvier is Professor in the Department of Mechanical Engineering at the University of Technology of Compiegne, France. Her research fields include scale transition in metallic materials from an experimental point of view to constitutive modeling.

Adnan Ibrahimbegovic is Professor at the University of Technology of Compiegne, France. He is recognized for his works in the field of computational mechanics, including multibody dynamics, continuum and discrete models for fracture, multiscale modeling of inelastic behavior and coupled problems.