Advertisement

© 2019

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

  • Marco Petrolo
Book

Part of the PoliTO Springer Series book series (PTSS)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. M. Petrolo
    Pages 1-9
  3. High-Fidelity and Computationally Efficient Models for Multiphysics and Design

    1. Front Matter
      Pages 11-11
    2. G. De Pietro, G. Giunta, S. Belouettar, E. Carrera
      Pages 29-45
    3. Y. Hui, G. Giunta, S. Belouettar, H. Hu, E. Carrera
      Pages 47-63
  4. Failure Analysis, Impact and Health-Monitoring

  5. Virtual Characterization, Manufacturing Effects and Uncertainty Quantification

    1. Front Matter
      Pages 141-141
    2. S. van den Broek, S. Minera, E. Jansen, A. Pirrera, P. M. Weaver, R. Rolfes
      Pages 143-158
    3. L. Cappelli, M. Montemurro, F. Dau, L. Guillaumat
      Pages 159-177
    4. G. Balokas, B. Kriegesmann, S. Czichon, A. Böttcher, R. Rolfes
      Pages 179-193

About this book

Introduction

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 third part 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.

Keywords

Multiphysics Uncertainty Quantification Nonlinearity Virtual Testing Nonlinear Multiscale Methods Manufacturing Effects FULLCOMP project Marie Curie project Composite Structures Failure Mechanisms

Editors and affiliations

  • Marco Petrolo
    • 1
  1. 1.MUL2 Group, Department of Mechanical and Aerospace EngineeringPolitecnico di TorinoTurinItaly

About the editors

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
  • Series Abbreviated Title PoliTO Springer Series
  • DOI https://doi.org/10.1007/978-3-030-11969-0
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Hardcover ISBN 978-3-030-11968-3
  • Softcover ISBN 978-3-030-11971-3
  • eBook ISBN 978-3-030-11969-0
  • 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
  • Buy this book on publisher's site

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)