Computational Modeling, Optimization and Manufacturing Simulation of Advanced Engineering Materials

Pablo Andrés Muñoz-Rojas

ISBN 10: 3319791435 / ISBN 13: 9783319791432

Published by Springer International Publishing, Springer International Publishing Mai 2018, 2018

About this Item

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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 404 pp. Englisch.

Seller Inventory # 9783319791432

Bibliographic Details

• Title: Computational Modeling, Optimization and Manufacturing Simulation of Advanced Engineering Materials
• Publisher: Springer International Publishing, Springer International Publishing Mai 2018
• Publication Date: 2018
• Language: English
• ISBN 10: 3319791435
• ISBN 13: 9783319791432
• Binding: Taschenbuch
• Condition: Neu

About this title

Synopsis

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.