Fatigue Life Prediction of Composites and Composite Structures

2nd Edition - October 8, 2019
Imprint: Woodhead Publishing
Editor: Anastasios P. Vassilopoulos
Language: English
Paperback ISBN:
9 7 8 - 0 - 0 8 - 1 0 2 5 7 5 - 8
eBook ISBN:
9 7 8 - 0 - 0 8 - 1 0 2 5 7 6 - 5

Fatigue Life Prediction of Composites and Composite Structures, Second Edition, is a comprehensive review of fatigue damage and fatigue life modeling and prediction methodolo… Read more

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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.

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

Life Sciences

Physical Sciences & Engineering

Social Sciences & Humanities

Health

Fatigue Life Prediction of Composites and Composite Structures

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Anastasios P. Vassilopoulos

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