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Numerical Methods and Advanced Simulation in Biomechanics and Biological Processes de Miguel Cerrolaza

Numerical Methods and Advanced Simulation in Biomechanics and Biological Processes

Editat de Miguel Cerrolaza, Sandra Shefelbine, Diego Garzón-Alvarado
en Limba Engleză Paperback – 4 oct 2017
Numerical Methods and Advanced Simulation in Biomechanics and Biological Processes covers new and exciting modeling methods to help bioengineers tackle problems for which the Finite Element Method is not appropriate. The book covers a wide range of important subjects in the field of numerical methods applied to biomechanics, including bone biomechanics, tissue and cell mechanics, 3D printing, computer assisted surgery and fluid dynamics. Modeling strategies, technology and approaches are continuously evolving as the knowledge of biological processes increases. Both theory and applications are covered, making this an ideal book for researchers, students and R&D professionals.


  • Provides non-conventional analysis methods for modeling
  • Covers the Discrete Element Method (DEM), Particle Methods (PM), MessLess and MeshFree Methods (MLMF), Agent-Based Methods (ABM), Lattice-Boltzmann Methods (LBM) and Boundary Integral Methods (BIM)
  • Includes contributions from several world renowned experts in their fields
  • Compares pros and cons of each method to help you decide which method is most applicable to solving specific problems
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Specificații

ISBN-13: 9780128117187
ISBN-10: 0128117184
Pagini: 454
Dimensiuni: 216 x 276 x 27 mm
Editura: ELSEVIER SCIENCE

Public țintă

Advanced researchers in computational biomechanics, Academic staff and professors of biomechanics/bioengineering courses,  Graduate students in bioengineering, biomechanics, engineering mechanics, Companies that have RTD departments devoted to bioengineering and tissue engineering, Research personnel in industrial sectors and research companies involved in bioengineering, biomechanics, tissue engineering

Cuprins

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