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Advances in Predictive Models and Methodologies for Numerically Efficient Linear and Nonlinear Analysis of Composites

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  • © 2019

Overview

  • Shares cutting-edge ideas on composite structures
  • Draws together the work of aerospace, mechanical and material engineers
  • Includes detailed theoretical descriptions and abundant numerical examples

Part of the book series: PoliTO Springer Series (PTSS)

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Table of contents (11 chapters)

  1. High-Fidelity and Computationally Efficient Models for Multiphysics and Design

  2. Failure Analysis, Impact and Health-Monitoring

  3. Virtual Characterization, Manufacturing Effects and Uncertainty Quantification

Keywords

About this book

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 methodologies. It first presents structural theories to deal with the anisotropy of composites and to embed multifield and nonlinear effects to extend design capabilities and provide methods of augmenting the fidelity of structural theories and lowering computational costs, including the finite element method. The second part of the book focuses on damage analysis; the multiscale and multicomponent nature of composites leads to extremely complex failure mechanisms, and predictive tools require physics-based models to reduce the need for fitting and tuning based on costly and lengthy experiments, and to lower computational costs; furthermore the correct monitoring of in-service damage is decisive in the context of damage tolerance. The thirdpart then presents recent advances in embedding characterization and manufacturing effects in virtual testing. The book summarizes the outcomes of the FULLCOMP (FULLy integrated analysis, design, manufacturing, and health-monitoring of COMPosite structures) research project.

Reviews

“The book is very interesting, well documented, and will be useful to all interested specialists, and it will certainly stimulate graduate students and researchers to further research in composites.” (M. Cengiz Dökmeci, zbMATH 1423.74009, 2019)

Editors and Affiliations

  • MUL2 Group, Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Turin, Italy

    Marco Petrolo

About the editor

Marco Petrolo is assistant professor and member of MUL2 (Multilayered Structures Multifield Analysis) research group at the Department of Mechanical and Aerospace Engineering of Politecnico di Torino, Italy. His research activity deals with the structural analysis of composite structures; refined beam, plate and shell models; component-wise approaches, damage analysis, and axiomatic/asymptotic analyses.

Bibliographic Information

  • Book Title: Advances in Predictive Models and Methodologies for Numerically Efficient Linear and Nonlinear Analysis of Composites

  • Editors: Marco Petrolo

  • Series Title: PoliTO Springer Series

  • DOI: https://doi.org/10.1007/978-3-030-11969-0

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2019

  • Hardcover ISBN: 978-3-030-11968-3Published: 07 March 2019

  • Softcover ISBN: 978-3-030-11971-3Published: 15 August 2020

  • eBook ISBN: 978-3-030-11969-0Published: 24 February 2019

  • Series ISSN: 2509-6796

  • Series E-ISSN: 2509-7024

  • Edition Number: 1

  • Number of Pages: XIII, 193

  • Number of Illustrations: 22 b/w illustrations, 48 illustrations in colour

  • Topics: Solid Mechanics, Aerospace Technology and Astronautics, Ceramics, Glass, Composites, Natural Materials

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