Computational Modeling, Optimization and Manufacturing Simulation of Advanced Engineering Materials

Pablo Andrés Muñoz-Rojas

ISBN 10: 3319042645 / ISBN 13: 9783319042640

Verlag: Springer International Publishing Jun 2016, 2016

Beschreibung

This item is printed on demand - it takes 3-4 days longer - Neuware -This volume presents recent research work focused in the development of adequate theoretical and numerical formulations to describe the behavior of advanced engineering materials. Particular emphasis is devoted to applications in the fields of biological tissues, phase changing and porous materials, polymers and to micro/nano scale modeling. Sensitivity analysis, gradient and non-gradient based optimization procedures are involved in many of the chapters, aiming at the solution of constitutive inverse problems and parameter identification. All these relevant topics are exposed by experienced international and inter institutional research teams resulting in a high level compilation. The book is a valuable research reference for scientists, senior undergraduate and graduate students, as well as for engineers acting in the area of computational material modeling. 404 pp. Englisch.

Bestandsnummer des Verkäufers 9783319042640

Bibliografische Details

• Titel: Computational Modeling, Optimization and Manufacturing Simulation of Advanced Engineering Materials
• Verlag: Springer International Publishing Jun 2016
• Erscheinungsjahr: 2016
• Sprache: Englisch
• ISBN-10: 3319042645
• ISBN-13: 9783319042640
• Einband: Buch
• Zustand: Neu

Über diesen Titel

Inhaltsangabe

This volume presents recent research work focused in the development of adequate theoretical and numerical formulations to describe the behavior of advanced engineering materials. Particular emphasis is devoted to applications in the fields of biological tissues, phase changing and porous materials, polymers and to micro/nano scale modeling. Sensitivity analysis, gradient and non-gradient based optimization procedures are involved in many of the chapters, aiming at the solution of constitutive inverse problems and parameter identification. All these relevant topics are exposed by experienced international and inter institutional research teams resulting in a high level compilation. The book is a valuable research reference for scientists, senior undergraduate and graduate students, as well as for engineers acting in the area of computational material modeling.