Theory, Multiscale Methods and Applications
Buch, Englisch, 334 Seiten, Format (B × H): 174 mm x 251 mm, Gewicht: 787 g
ISBN: 978-0-470-01851-4
Verlag: Wiley
Nanotechnology is a progressive research and development topic with large amounts of venture capital and government funding being invested worldwide. Nano mechanics, in particular, is the study and characterization of the mechanical behaviour of individual atoms, systems and structures in response to various types of forces and loading conditions.
This text, written by respected researchers in the field, informs researchers and practitioners about the fundamental concepts in nano mechanics and materials, focusing on their modelling via multiple scale methods and techniques. The book systematically covers the theory behind multi-particle and nanoscale systems, introduces multiple scale methods, and finally looks at contemporary applications in nano-structured and bio-inspired materials.
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Preface.
1. Introduction.
1.1 Potential of Nanoscale Engineering.
1.2 Motivation for Multiple Scale Modeling.
1.3 Educational Approach.
2. Classical Molecular Dynamics.
2.1 Mechanics of a System of Particles.
2.2 Molecular Forces.
2.3 Molecular Dynamics Applications.
3. Lattice Mechanics.
3.1 Elements of Lattice Symmetries.
3.2 Equation of Motion of a Regular Lattice.
3.3 Transforms.
3.4 Standing Waves in Lattices.
3.5 Green’s Function Methods.
3.6 Quasistatic Approximation.
4. Methods of Thermodynamics and Statistical Mechanics.
4.1 Basic Results of the Thermodynamic Method.
4.2 Statistics of Multiparticle Systems in Thermodynamic Equilibrium.
4.3 Numerical Heat Bath Techniques.
5. Introduction to Multiple Scale Modeling.
5.1 MAAD.
5.2 Coarse Grained Molecular Dynamics.
5.3 Quasicontinuum Method.
5.4 CADD.
5.5 Bridging Domain.
6. Introduction to Bridging Scale.
6.1 Bridging Scale Fundamentals.
6.2 Removing Fine Scale Degrees of Freedom in Coarse Scale Region.
3D Generalization.
6.3 Discussion on the Damping Kernel Technique.
6.4 Cauchy-Born Rule.
6.5 Virtual Atom Cluster Method.
6.6 Staggered Time Integration Algorithm.
6.7 Summary of Bridging Scale Equations.
6.8 Discussion on the Bridging Scale Method.
7. Bridging Scale Numerical Examples.
7.1 Comments On Time History Kernel.
7.4 Two-Dimensional Wave Propagation.
7.5 Dynamic Crack Propagation in Two Dimensions.
7.6 Dynamic Crack Propagation in Three Dimensions.
7.7 Virtual Atom Cluster Numerical Examples.
8. Non-Nearest Neighbor MD Boundary Condition.
8.1 Introduction.
8.2 Theoretical Formulation in 3D.
8.3 Numerical Examples - 1D Wave Propagation.
8.4 Time History Kernels for FCC Gold.
8.5 Conclusion on the Bridging Scale Method.
9. Multiscale Methods for Material Design.
9.1 Multiresolution Continuum Analysis.
9.2 Multiscale Constitutive Modeling of Steels.
9.3 Bio-Inspired Materials.
9.4 Summary and Future Research Directions.
10. Bio-Nano Interface.
10.3 Vascular Flow and Blood Rheology.
10.4 Electrohydrodynamic Coupling.
10.5 CNT/DNA Assembly Simulation.
10.6 Cell Migration and Cell-Substrate Adhesion.
10.7 Conclusions.
Appendix A: Kernel Matrices for EAM Potential.
Bibliography.
Index.
