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.
1. Cover image - p. iv 2. Title page - p. iv 3. Table of Contents - p. iv 4. Copyright - p. iv 5. Contributors - p. xi 6. Preface - p. xiii 7. 1: Fatigue life modeling and prediction methods for composite materials and structures—Past, present, and future prospects - p. xiv 8. Part One: Fatigue life behavior and modeling - p. 43 9. 2: Phenomenological fatigue analysis and life modeling - p. 43 10. 3: Residual strength fatigue theories for composite materials - p. 75 11. 4: Creep/fatigue/relaxation of angle-ply GFRP composite laminates - p. 97 12. 5: Fatigue behavior of nanoparticle-filled fibrous polymeric composites - p. 134 13. 6: High-temperature fatigue behavior of woven-ply thermoplastic composites - p. 193 14. 7: Fatigue behavior of thick composite laminates - p. 237 15. 8: Fatigue damage and lifetime prediction of fiber-reinforced ceramic-matrix composites - p. 267 16. 9: Fatigue behaviors of fiber-reinforced composite 3D printing - p. 333 17. 10: Computational intelligence methods for the fatigue life modeling of composite materials - p. 348 18. Part Two: Fatigue life prediction and monitoring - p. 383 19. 11: Fatigue life prediction under realistic loading conditions - p. 383 20. 12: Fatigue life prediction of composite materials under constant amplitude loading - p. 423 21. 13: Prediction of fatigue crack initiation in UD laminates under different stress ratios - p. 463 22. 14: A progressive damage mechanics algorithm for life prediction of composite materials under cyclic complex stress - p. 494 23. 15: Stiffness-based approach to fatigue-life prediction of composite materials - p. 537 24. 16: The fatigue damage evolution in the load-carrying composite laminates of wind turbine blades - p. 568 25. Part Three: Applications - p. 603 26. 17: Probabilistic fatigue life prediction of composite materials - p. 603 27. 18: Computational tools for the fatigue life modeling and prediction of composite materials and structures - p. 633 28. 19: Fatigue life prediction of wind turbine rotor blades - p. 680 29. 20: In-situ fatigue damage analysis and prognostics of composite structures based on health monitoring data - p. 710 30. Index - p. 741
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.
1. Cover image - p. iv 2. Title page - p. iv 3. Table of Contents - p. iv 4. Copyright - p. iv 5. Contributors - p. xi 6. Preface - p. xiii 7. 1: Fatigue life modeling and prediction methods for composite materials and structures—Past, present, and future prospects - p. xiv 8. Part One: Fatigue life behavior and modeling - p. 43 9. 2: Phenomenological fatigue analysis and life modeling - p. 43 10. 3: Residual strength fatigue theories for composite materials - p. 75 11. 4: Creep/fatigue/relaxation of angle-ply GFRP composite laminates - p. 97 12. 5: Fatigue behavior of nanoparticle-filled fibrous polymeric composites - p. 134 13. 6: High-temperature fatigue behavior of woven-ply thermoplastic composites - p. 193 14. 7: Fatigue behavior of thick composite laminates - p. 237 15. 8: Fatigue damage and lifetime prediction of fiber-reinforced ceramic-matrix composites - p. 267 16. 9: Fatigue behaviors of fiber-reinforced composite 3D printing - p. 333 17. 10: Computational intelligence methods for the fatigue life modeling of composite materials - p. 348 18. Part Two: Fatigue life prediction and monitoring - p. 383 19. 11: Fatigue life prediction under realistic loading conditions - p. 383 20. 12: Fatigue life prediction of composite materials under constant amplitude loading - p. 423 21. 13: Prediction of fatigue crack initiation in UD laminates under different stress ratios - p. 463 22. 14: A progressive damage mechanics algorithm for life prediction of composite materials under cyclic complex stress - p. 494 23. 15: Stiffness-based approach to fatigue-life prediction of composite materials - p. 537 24. 16: The fatigue damage evolution in the load-carrying composite laminates of wind turbine blades - p. 568 25. Part Three: Applications - p. 603 26. 17: Probabilistic fatigue life prediction of composite materials - p. 603 27. 18: Computational tools for the fatigue life modeling and prediction of composite materials and structures - p. 633 28. 19: Fatigue life prediction of wind turbine rotor blades - p. 680 29. 20: In-situ fatigue damage analysis and prognostics of composite structures based on health monitoring data - p. 710 30. Index - p. 741
