Advances in Predictive Models and Methodologies for Numerically Efficient Linear and Nonlinear Analysis of Composites
This book gathers contributions addressing issues related to the analysis of composite structures, whose most relevant common thread is augmented numerical efficiency, which is more accurate for given computational costs than existing methods and methodol
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Marco Petrolo Editor
Advances in Predictive Models and Methodologies for Numerically Efficient Linear and Nonlinear Analysis of Composites
PoliTO Springer Series Series editors Giovanni Ghione, Turin, Italy Pietro Asinari, Department of Energy, Politecnico di Torino, Turin, Italy Luca Ridolfi, Turin, Italy Erasmo Carrera, Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Turin, Italy Claudio Canuto, Department of Mathematical Sciences, Politecnico di Torino, Turin, Italy Felice Iazzi, Department of Applied Science and Technology, Politecnico di Torino, Turin, Italy Andrea Acquaviva, Informatica e Automatica, Politecnico di Torino, Turin, Italy
Springer, in cooperation with Politecnico di Torino, publishes the PoliTO Springer Series. This co-branded series of publications includes works by authors and volume editors mainly affiliated with Politecnico di Torino and covers academic and professional topics in the following areas: Mathematics and Statistics, Chemistry and Physical Sciences, Computer Science, All fields of Engineering. Interdisciplinary contributions combining the above areas are also welcome. The series will consist of lecture notes, research monographs, and briefs. Lectures notes are meant to provide quick information on research advances and may be based e.g. on summer schools or intensive courses on topics of current research, while SpringerBriefs are intended as concise summaries of cutting-edge research and its practical applications. The PoliTO Springer Series will promote international authorship, and addresses a global readership of scholars, students, researchers, professionals and policymakers.
More information about this series at http://www.springer.com/series/13890
Marco Petrolo Editor
Advances in Predictive Models and Methodologies for Numerically Efficient Linear and Nonlinear Analysis of Composites
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Editor Marco Petrolo MUL2 Group, Department of Mechanical and Aerospace Engineering Politecnico di Torino Turin, Italy
ISSN 2509-6796 ISSN 2509-7024 (electronic) PoliTO Springer Series ISBN 978-3-030-11968-3 ISBN 978-3-030-11969-0 (eBook) https://doi.org/10.1007/978-3-030-11969-0 Library of Congress Control Number: 2019930977 © Springer Nature Switzerland AG 2019 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that
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