This book provides readers with an incisive look at cutting-edge peridynamic modeling methods, numerical techniques, their applications, and potential future directions for the field. It starts with an introductory chapter authored by Stewart Silling, who originally developed peridynamics. It then looks at new concepts in the field, with chapters covering dual-horizon peridynamics, peridynamics for axisymmetric analysis, beam and plate models in peridynamics, coupled peridynamics and XFEM, peridynamics for dynamic fracture modeling, and more. From there, it segues into coverage of cutting-edge applications of peridynamics, exploring its biological applications, modeling at the nanoscale, peridynamics for composites delamination and damage in ceramics, and more, concluding with a chapter on the application of artificial intelligence and machine learning in peridynamics.
1. Chapter 1. Introduction - p. 1 2. Section I: New concepts in peridynamics - p. 31 3. Chapter 2. Dual-horizon peridynamics (DH-PD) - p. 35 4. Chapter 3. Peridynamics for axisymmetric analysis - p. 57 5. Chapter 4. Peridynamics damage model through phase field theory - p. 77 6. Chapter 5. Beam and plate models in peridynamics - p. 97 7. Chapter 6. Coupling of CCM and PD in a meshless way - p. 113 8. Chapter 7. Coupled peridynamics and XFEM - p. 139 9. Chapter 8. Peridynamics in dynamic fracture modeling - p. 159 10. Chapter 9. Contact analysis of rigid and deformable bodies with peridynamics - p. 183 11. Chapter 10. Modeling inelasticity in peridynamics - p. 205 12. Chapter 11. Kinematically exact peridynamics - p. 223 13. Section II: New applications in peridynamics - p. 245 14. Chapter 12. Modeling biological materials with peridynamics - p. 249 15. Chapter 13. The application of peridynamics for ice modeling - p. 275 16. Chapter 14. Fiber-reinforced composites modeling using peridynamics - p. 309 17. Chapter 15. Phase field–based peridynamics damage model: Applications to delamination of composite structures and inelastic response of ceramics - p. 327 18. Chapter 16. Peridynamic modeling at nano-scale - p. 355 19. Chapter 17. Multiscale modeling with peridynamics - p. 371 20. Chapter 18. Application of peridynamics for rock mechanics and porous media - p. 387 21. Chapter 19. Application of high-performance computing for peridynamics - p. 403 22. Chapter 20. Application of artificial intelligence and machine learning in peridynamics - p. 419 23. Index - p. 437
This book provides readers with an incisive look at cutting-edge peridynamic modeling methods, numerical techniques, their applications, and potential future directions for the field. It starts with an introductory chapter authored by Stewart Silling, who originally developed peridynamics. It then looks at new concepts in the field, with chapters covering dual-horizon peridynamics, peridynamics for axisymmetric analysis, beam and plate models in peridynamics, coupled peridynamics and XFEM, peridynamics for dynamic fracture modeling, and more. From there, it segues into coverage of cutting-edge applications of peridynamics, exploring its biological applications, modeling at the nanoscale, peridynamics for composites delamination and damage in ceramics, and more, concluding with a chapter on the application of artificial intelligence and machine learning in peridynamics.
1. Chapter 1. Introduction - p. 1 2. Section I: New concepts in peridynamics - p. 31 3. Chapter 2. Dual-horizon peridynamics (DH-PD) - p. 35 4. Chapter 3. Peridynamics for axisymmetric analysis - p. 57 5. Chapter 4. Peridynamics damage model through phase field theory - p. 77 6. Chapter 5. Beam and plate models in peridynamics - p. 97 7. Chapter 6. Coupling of CCM and PD in a meshless way - p. 113 8. Chapter 7. Coupled peridynamics and XFEM - p. 139 9. Chapter 8. Peridynamics in dynamic fracture modeling - p. 159 10. Chapter 9. Contact analysis of rigid and deformable bodies with peridynamics - p. 183 11. Chapter 10. Modeling inelasticity in peridynamics - p. 205 12. Chapter 11. Kinematically exact peridynamics - p. 223 13. Section II: New applications in peridynamics - p. 245 14. Chapter 12. Modeling biological materials with peridynamics - p. 249 15. Chapter 13. The application of peridynamics for ice modeling - p. 275 16. Chapter 14. Fiber-reinforced composites modeling using peridynamics - p. 309 17. Chapter 15. Phase field–based peridynamics damage model: Applications to delamination of composite structures and inelastic response of ceramics - p. 327 18. Chapter 16. Peridynamic modeling at nano-scale - p. 355 19. Chapter 17. Multiscale modeling with peridynamics - p. 371 20. Chapter 18. Application of peridynamics for rock mechanics and porous media - p. 387 21. Chapter 19. Application of high-performance computing for peridynamics - p. 403 22. Chapter 20. Application of artificial intelligence and machine learning in peridynamics - p. 419 23. Index - p. 437
