Multi-scale Mechanics of 2D Triaxially Braided Composites: Characterization, Mechanics and Machine-Learning Based Modelling presents the latest advances in this important research field. The book begins with a brief introduction to these materials including their mechanical features, damage and failure mechanisms and typical applications. The contents are then divided into three main sections on experimental characterization; mechanics-based modeling and machine-learning based modeling approaches. By taking a multi-scale modeling approach, that includes progressive damage and impact simulation, as well as theoretical modelling, machine-learning and multi-scale mechanics aspects, the author presents key findings in this important field. A systematic introduction is given to the multi-scale and machine-learning based modeling approach, along with their corresponding source codes for the progressive damage model. Then an up-to-date theoretical model is also presented, as well as, high-efficient finite element mesh of the unit cell, for conducting multi-scale analysis and design of these materials and structures. Numerical examples are also presented to illustrate the application of presented methods for quasi-static and impact problems. To enhance the reader’s understanding numerous engineering case studies are also included, together with examples of material/structure optimization. The book provides the latest knowledge and methodology for the design and analysis of aerospace structures and other materials technologies, guiding the researcher to understand this cutting-edge research framework.
1. Chapter 1. Introduction of two-dimensional triaxially braided composite - p. 3 2. Chapter 2. Quasi-static failure behavior and free-edge effect - p. 29 3. Chapter 3. Dynamic compressive failure behavior - p. 71 4. Chapter 4. Low-velocity impact and compression after impact behavior - p. 95 5. Chapter 5. High-velocity impact behavior - p. 117 6. Section II. Mechanics-based modeling - p. S2 7. Chapter 6. Meso-FE model - p. 143 8. Chapter 7. Effect of hydrothermal aging - p. 199 9. Chapter 8. Modeling the temperature-rise behavior - p. 221 10. Chapter 9. Volume-average-based analytical model - p. 257 11. Chapter 10. Three-dimensional generalized analytical model - p. 275 12. Chapter 11. Multi-scale models - p. 307 13. Section III. Machine-learning based modeling - p. S3 14. Chapter 12. Introduction of machine-learning-based modeling approaches - p. 349 15. Chapter 13. Machine-learning-based modeling approaches for isotropic elastoplastic materials - p. 385 16. Chapter 14. Machine-learning-based modeling approaches for fiber-reinforced composites - p. 421 17. Chapter 15. Machine-learning-based finite element simulation for textile composites - p. 461 18. Chapter 16. Conclusion and prospects - p. 481 19. Index - p. 485
Multi-scale Mechanics of 2D Triaxially Braided Composites: Characterization, Mechanics and Machine-Learning Based Modelling presents the latest advances in this important research field. The book begins with a brief introduction to these materials including their mechanical features, damage and failure mechanisms and typical applications. The contents are then divided into three main sections on experimental characterization; mechanics-based modeling and machine-learning based modeling approaches. By taking a multi-scale modeling approach, that includes progressive damage and impact simulation, as well as theoretical modelling, machine-learning and multi-scale mechanics aspects, the author presents key findings in this important field. A systematic introduction is given to the multi-scale and machine-learning based modeling approach, along with their corresponding source codes for the progressive damage model. Then an up-to-date theoretical model is also presented, as well as, high-efficient finite element mesh of the unit cell, for conducting multi-scale analysis and design of these materials and structures. Numerical examples are also presented to illustrate the application of presented methods for quasi-static and impact problems. To enhance the reader’s understanding numerous engineering case studies are also included, together with examples of material/structure optimization. The book provides the latest knowledge and methodology for the design and analysis of aerospace structures and other materials technologies, guiding the researcher to understand this cutting-edge research framework.
1. Chapter 1. Introduction of two-dimensional triaxially braided composite - p. 3 2. Chapter 2. Quasi-static failure behavior and free-edge effect - p. 29 3. Chapter 3. Dynamic compressive failure behavior - p. 71 4. Chapter 4. Low-velocity impact and compression after impact behavior - p. 95 5. Chapter 5. High-velocity impact behavior - p. 117 6. Section II. Mechanics-based modeling - p. S2 7. Chapter 6. Meso-FE model - p. 143 8. Chapter 7. Effect of hydrothermal aging - p. 199 9. Chapter 8. Modeling the temperature-rise behavior - p. 221 10. Chapter 9. Volume-average-based analytical model - p. 257 11. Chapter 10. Three-dimensional generalized analytical model - p. 275 12. Chapter 11. Multi-scale models - p. 307 13. Section III. Machine-learning based modeling - p. S3 14. Chapter 12. Introduction of machine-learning-based modeling approaches - p. 349 15. Chapter 13. Machine-learning-based modeling approaches for isotropic elastoplastic materials - p. 385 16. Chapter 14. Machine-learning-based modeling approaches for fiber-reinforced composites - p. 421 17. Chapter 15. Machine-learning-based finite element simulation for textile composites - p. 461 18. Chapter 16. Conclusion and prospects - p. 481 19. Index - p. 485
