Continuum Models and Discrete Systems | CMDS-14, Paris, France, June 26–30, 2023 | ISBN 9783031586644

Continuum Models and Discrete Systems

CMDS-14, Paris, France, June 26–30, 2023

herausgegeben von François Willot, Justin Dirrenberger, Samuel Forest, Dominique Jeulin und Andrej V. Cherkaev
Mitwirkende
Herausgegeben vonFrançois Willot
Herausgegeben vonJustin Dirrenberger
Herausgegeben vonSamuel Forest
Herausgegeben vonDominique Jeulin
Herausgegeben vonAndrej V. Cherkaev
Buchcover Continuum Models and Discrete Systems  | EAN 9783031586644 | ISBN 3-031-58664-6 | ISBN 978-3-031-58664-4

Continuum Models and Discrete Systems

CMDS-14, Paris, France, June 26–30, 2023

herausgegeben von François Willot, Justin Dirrenberger, Samuel Forest, Dominique Jeulin und Andrej V. Cherkaev
Mitwirkende
Herausgegeben vonFrançois Willot
Herausgegeben vonJustin Dirrenberger
Herausgegeben vonSamuel Forest
Herausgegeben vonDominique Jeulin
Herausgegeben vonAndrej V. Cherkaev

The present book contains the proceedings of the 14th International Symposium on Continuum Models and Discrete Systems (CMDS14) held in Paris in June 2023. It contains 21 contributions that cover a broad range of topics in the wide field of mechanics and physics of heterogeneous media for  discrete and continuous systems, from image analysis to models of random structures and to homogenization. The sessions in the CMDS conference series cover, in particular, the modeling of complex heterogeneous systems and metamaterials, structures and composites with extreme properties, deformable solids with microstructures, generalized continua, fracture and defect dynamics, fatigue, design of structured and architectured materials, micro and nanostructures, thermodynamics, transport theory and multiphysics coupling and methods ranging from homogenization theories to optimal design and machine-learning frameworks. Papers in the present volume are organized according to the following six main topics: probabilistic models, homogenization, solid mechanics, architectured materials, optics and metamaterials, machine learning methods.