Numerical methods and advanced simulation in biomechanics and biological processes. (2017)

• Record Type: Book
• Further Information: Note: Edited by Miguel Cerrolaza, Sandra Shefelbine, Diego Garzón-Alvarado.
• Editors: Cerrolaza, M; Shefelbine, Sandra; Garzón-Alvarado, Diego
• Contents: 1. Discontinuous finite-element model of hydrogels: predicting stiffness of nanofibres 2. Modeling the influence of mechanics on biological growth 3. Finite Element modeling and simulation of the multiphysic behavior of articular cartilage 4. Image-driven constitutive modeling for FE-based simulation of soft tissue biomechanics 5. Finite element modeling of Turing Pattern formation: An application to appearance and location of dentinal tubules 6. A discontinuous Galerkin model for the simulation of chemotaxis processes: application to stem cell injection after a myocardial infarction 7. Application of the Boundary Element Method in bioelectromagnetics 8. BEM in biomechanics: modelling, advances and limitations 9. A particle-finite element based framework for differentiation paths of stem cells to myocytes and adipocytes 10. Numerical simulation of bone cutting: hybrid SPH-FE approach 11. Smoothed Particle Hydrodynamics method and its applications to cardiovascular flow modeling 12. Agent Based Lattice Models of multicellular systems: numerical methods, implementation and applications 13. Multiscale agent-based computer models in skeletal tissue regeneration 14. Off-lattice Agent Based models for cell and tumor growth: numerical methods, implementation and applications 15. Agent-based numerical methods for 3D bioprinting in tissue engineering 16. Coupled Finite Element-Agent Based models for the simulation of vascular growth and remodeling 17. The mechanologic bone tissue remodeling analysis: a comparison between mesh-depending and meshless methods 18. Strong and weak form meshless methods in computational biomechanics 19. The finite volume particle method: towards a meshless technique for biomedical fluid dynamics 20. Multicomponent lattice Boltzmann models for biological applications 21. Lattice Boltzmann models of highly viscous fluids and multicellular self-assembly 22. The Lattice Boltzmann modeling: solving complex flows including biological cells 23. Lattice Boltzmann methods for bioengineering applications
• Publisher Details: Amsterdam : Academic Press
• Publication Date: 2017
• Extent: 1 online resource
• Subjects: 612.76; Biomechanics -- Mathematical models
• Languages: English
• ISBNs: 9780128117194
• Related ISBNs: 9780128117187
• Notes: Note: Description based on CIP data; resource not viewed.
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