Fatigue Life Prediction of Composites and Composite Structures

Fatigue Life Prediction of Composites and Composite Structures

2nd Edition - October 8, 2019

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  • Editor: Anastasios Vassilopoulos
  • Paperback ISBN: 9780081025758
  • eBook ISBN: 9780081025765

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Description

Fatigue Life Prediction of Composites and Composite Structures, Second Edition, is a comprehensive review of fatigue damage and fatigue life modeling and prediction methodologies for composites and their use in practice. In this new edition, existing chapters are fully updated, while new chapters are introduced to cover the most recent developments in the field. The use of composites is growing in structural applications in many industries, including aerospace, marine, wind turbine and civil engineering. However, there are uncertainties about their long-term performance, including performance issues relating to cyclic fatigue loading that hinder the adoption of a commonly accepted credible fatigue design methodology for the life prediction of composite engineering structures. With its distinguished editor and international team of contributors, this book is a standard reference for industry professionals and researchers alike.

Key Features

  • Examines past, present and future trends associated with the fatigue life prediction of composite materials and structures
  • Assesses novel computational methods for fatigue life modeling and prediction of composite materials under constant amplitude loading
  • Covers a wide range of techniques for predicting fatigue, including their theoretical background and practical applications
  • Addresses new topics and covers contemporary research developments in the field

Readership

Researchers in industry and academia, and PhD students wishing to keep up to date on information about fatigue behavior and modeling of composite materials

Table of Contents

  • Cover image
  • Title page
  • Table of Contents
  • Copyright
  • Contributors
  • Preface
  • 1: Fatigue life modeling and prediction methods for composite materials and structures—Past, present, and future prospects
  • Abstract
  • 1.1 Introduction
  • 1.2 Experimental characterization of composite materials
  • 1.3 Fatigue life prediction of composite materials and structures—Past and present
  • 1.4 Conclusions—Future prospects
  • Part One: Fatigue life behavior and modeling
  • 2: Phenomenological fatigue analysis and life modeling
  • Abstract
  • 2.1 Introduction
  • 2.2 Fatigue experiments
  • 2.3 Measurements and sensors
  • 2.4 Test frequency
  • 2.5 Specimens
  • 2.6 S-N diagrams
  • 2.7 S-N formulations
  • 2.8 Future trends
  • 3: Residual strength fatigue theories for composite materials
  • Abstract
  • 3.1 Introduction
  • 3.2 Major residual strength models from the literature
  • 3.3 Fitting of experimental data
  • 3.4 Prediction results
  • 3.5 Conclusions and future trends
  • 4: Creep/fatigue/relaxation of angle-ply GFRP composite laminates
  • Abstract
  • Acknowledgments
  • 4.1 Introduction
  • 4.2 Experimental procedure
  • 4.3 Experimental results and discussion
  • 4.4 Conclusions and outlook
  • 5: Fatigue behavior of nanoparticle-filled fibrous polymeric composites
  • Abstract
  • 5.1 Introduction
  • 5.2 Fatigue life prediction based on the micromechanical and normalized stiffness degradation approaches
  • 5.3 Fatigue life prediction based on the micromechanical-energy method
  • 5.4 Displacement-controlled flexural fatigue behavior of composites with nanoparticles
  • 5.5 Conclusions and outlook
  • 6: High-temperature fatigue behavior of woven-ply thermoplastic composites
  • Abstract
  • 6.1 Introduction
  • 6.2 Literature review
  • 6.3 TP- and TS-based composites in fatigue: An experimental study [12–16, 81, 82]
  • 6.4 Discussions on the fatigue behavior of TP vs TS laminates
  • 6.5 Conclusions and outlook
  • 7: Fatigue behavior of thick composite laminates
  • Abstract
  • 7.1 Introduction
  • 7.2 Assessment of existing approaches for fatigue of composites
  • 7.3 Aspects of fatigue behavior of thick laminates
  • 7.4 Composite material characterization for failure parameters
  • 7.5 Failure criteria and failure modes in progressive damage
  • 7.6 Material degradation due to fatigue damage
  • 7.7 Progressive damage development and progression
  • 7.8 Application to a thick composite laminate
  • 7.9 Conclusions
  • 8: Fatigue damage and lifetime prediction of fiber-reinforced ceramic-matrix composites
  • Abstract
  • Acknowledgments
  • 8.1 Introduction
  • 8.2 Theoretical analysis
  • 8.3 Results and discussion
  • 8.4 Experimental comparisons
  • 8.5 Conclusions and outlook
  • 9: Fatigue behaviors of fiber-reinforced composite 3D printing
  • Abstract
  • Acknowledgments
  • 9.1 Introduction
  • 9.2 Materials and specimen preparations
  • 9.3 Experimental analysis
  • 9.4 Statistical analysis
  • 9.5 Discussion
  • 9.6 Conclusions and outlook
  • 10: Computational intelligence methods for the fatigue life modeling of composite materials
  • Abstract
  • 10.1 Introduction
  • 10.2 Theoretical background
  • 10.3 Modeling examples
  • 10.4 Comparison to conventional methods of fatigue life modeling
  • 10.5 Conclusions and future prospects
  • Part Two: Fatigue life prediction and monitoring
  • 11: Fatigue life prediction under realistic loading conditions
  • Abstract
  • 11.1 Introduction
  • 11.2 Theoretical background
  • 11.3 Experimental data
  • 11.4 Life prediction examples—Discussion
  • 11.5 Concluding remarks and future prospects
  • 12: Fatigue life prediction of composite materials under constant amplitude loading
  • Abstract
  • Acknowledgments
  • 12.1 Introduction
  • 12.2 Constant fatigue life (CFL) diagram approach
  • 12.3 Linear constant fatigue life (CFL) diagrams
  • 12.4 Nonlinear constant fatigue life (CFL) diagrams
  • 12.5 Prediction of constant fatigue life (CFL) diagrams and S-N curves
  • 12.6 Extended anisomorphic constant fatigue life (CFL) diagram
  • 12.7 Conclusions
  • 12.8 Future trends
  • 12.9 Source of further information and advice
  • 13: Prediction of fatigue crack initiation in UD laminates under different stress ratios
  • Abstract
  • Acknowledgments
  • 13.1 Introduction
  • 13.2 Definition of crack initiation
  • 13.3 Predicting fatigue crack initiation
  • 13.4 Discussion of validation results
  • 13.5 Conclusion and future challenges
  • 13.6 Sources of further information and advice
  • 14: A progressive damage mechanics algorithm for life prediction of composite materials under cyclic complex stress
  • Abstract
  • Acknowledgments
  • 14.1 Introduction
  • 14.2 Constitutive laws
  • 14.3 Failure onset conditions
  • 14.4 Strength degradation due to cyclic loading
  • 14.5 Constant life diagrams and S-N curves
  • 14.6 FAtigue DAmage Simulator (FADAS)
  • 14.7 Conclusions
  • 15: Stiffness-based approach to fatigue-life prediction of composite materials
  • Abstract
  • 15.1 Introduction
  • 15.2 Theoretical background: Classical laminate theory for fatigue-life prediction
  • 15.3 Fatigue experiments
  • 15.4 Damage mechanisms and stiffness progresses depending on fiber volume content and mean stress
  • 15.5 Application of the predictive method
  • 15.6 Applicability of predictive models—General considerations
  • 15.7 Conclusions and future perspectives
  • 16: The fatigue damage evolution in the load-carrying composite laminates of wind turbine blades
  • Abstract
  • 16.1 Introduction
  • 16.2 Loads on the load-carrying laminates in wind turbine blades
  • 16.3 DTU 10MW reference turbine
  • 16.4 The load-carrying composite in a wind turbine blade
  • 16.5 Nondestructive fatigue damage characterization methods
  • 16.6 Fatigue damage evolution during tension/tension fatigue
  • 16.7 Stiffness degradation during compression/compression fatigue
  • 16.8 Stiffness degradation during tension/compression fatigue
  • 16.9 Summary and outlook
  • Part Three: Applications
  • 17: Probabilistic fatigue life prediction of composite materials
  • Abstract
  • 17.1 Introduction
  • 17.2 Fatigue damage accumulation
  • 17.3 Uncertainty modeling
  • 17.4 Methods for probabilistic fatigue life prediction
  • 17.5 Demonstration examples
  • Conclusion
  • 18: Computational tools for the fatigue life modeling and prediction of composite materials and structures
  • Abstract
  • 18.1 Introduction
  • 18.2 Engineering software for fatigue life modeling/prediction
  • 18.3 FEMFAT laminate approach
  • 18.4 Description of CCfatigue and case studies
  • 18.5 Conclusions and outlook
  • 19: Fatigue life prediction of wind turbine rotor blades
  • Abstract
  • 19.1 Introduction
  • 19.2 Framework of developed modeling technique
  • 19.3 Loading
  • 19.4 Static analysis
  • 19.5 Fatigue damage criterion
  • 19.6 Stochastic characterization of the wind flow
  • 19.7 Stochastic implementation on fatigue modeling
  • 19.8 Summary and conclusion
  • 20: In-situ fatigue damage analysis and prognostics of composite structures based on health monitoring data
  • Abstract
  • 20.1 Introduction
  • 20.2 Structural health monitoring
  • 20.3 Non homogeneous hidden semi-Markov model
  • 20.4 Prognostics framework
  • 20.5 Case study
  • 20.6 Conclusions
  • Index

Product details

  • No. of pages: 764
  • Language: English
  • Copyright: © Woodhead Publishing 2019
  • Published: October 8, 2019
  • Imprint: Woodhead Publishing
  • Paperback ISBN: 9780081025758
  • eBook ISBN: 9780081025765

About the Editor

Anastasios Vassilopoulos

Dr Anastasios P. Vassilopoulos is a Senior Scientist (MER) in the Composite Construction Laboratory (CCLab) at the Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland. He has an international reputation for his work on fatigue life prediction of composite materials under complex, irregular stress states and his contribution in the development of novel experimental procedures for the analysis of the fatigue/fracture behavior of composites.

Affiliations and Expertise

Senior Scientist, Ecole Polytechnique Fédérale de Lausanne, Switzerland

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