Series Editor
Félix Darve
Edited by
Delphine Brancherie
Pierre Feissel
Salima Bouvier
Adnan Ibrahimbegović
First published 2017 in Great Britain and the United States by ISTE Ltd and John Wiley & Sons, Inc.
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© ISTE Ltd 2017
The rights of Delphine Brancherie, Pierre Feissel, Salima Bouvier and Adnan Ibrahimbegović to be identified as the authors of this work have been asserted by them in accordance with the Copyright, Designs and Patents Act 1988.
Library of Congress Control Number: 2017953125
British Library Cataloguing-in-Publication Data
A CIP record for this book is available from the British Library
ISBN 978-1-78630-259-5
Mechanical behaviors of materials are highly influenced by their microstructures. Therefore, progress in material science aims at understanding and modeling the link between the microstructure and the material behavior at different scales. This book comprises contributions from eminent researchers in the field of computational and experimental material modeling. The book focuses on experimental techniques, modeling approaches and computational strategies to understand and predict the behavior of materials in relation to its architecture and microstructure at different scales. Special attention is paid to the coupling of experimental techniques with advanced modeling tools, numerically or analytically.
The first four chapters are dedicated to the reconstruction of representative volume element (RVE) for different kinds of materials to study the mechanical behavior at the macro-scale. Advanced experimental techniques along with dedicated numerical and analytical tools are presented to efficiently analyze and represent the microstructural features. These tools are used to study synthetic materials, the key properties of RVEs, and to construct the behavior at the macro-scale through homogenization. The role of the randomness of the microstructure in the macro-scale behavior is also investigated, and stochastic dedicated tools are presented.
The following three chapters focus on complex mechanical behavior modeling at the macro-scale. Different modelization and simulation techniques are presented. These chapters discuss how the applications considered above enable the use and adaptation of numerical tools to analyze complex behaviors. The macro phenomenological models are based on a better understanding and modeling of key phenomena at the micro-scale, including multi-physics. The influence of the parameters of micro-scale models is analyzed in detail with respect to the macro-scale behavior.
The increasing complexity of models brings challenging issues related to identification and simulation. Due to these issues, models must be identified from complex experiments that are monitored richly, to imply the large amount of data. Dedicated identification strategies must be developed based on simulation, thereby requiring model reduction techniques. These reduction techniques will also be a key tool for large-scale (in terms of CPU time) predictive simulation, and new trends in data-driven simulations take advantage of the experimental data to propose a new modeling paradigm. The last two chapters focus on these issues.
This book is a collection of selected papers from the invited lectures presented at the 9th US–France symposium: “From microstructure observations to multi-scale modeling of deformation mechanisms and interfaces”. This symposium was held in Compiègne in June 2016 under the auspices of the International Center for Applied Computational Mechanics, Compiègne, France, 1–3 June 2016.
We would like to thank all the ICACM participants for their lively exchanges, especially the authors of the chapters for their contributions.
Delphine Brancherie
Pierre Feissel
Salima Bouvier
Adnan Ibrahimbegović
September 2017