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9780470018514

Nano Mechanics and Materials Theory, Multiscale Methods and Applications

by ; ;
  • ISBN13:

    9780470018514

  • ISBN10:

    0470018518

  • Edition: 1st
  • Format: Hardcover
  • Copyright: 2006-02-17
  • Publisher: WILEY
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Supplemental Materials

What is included with this book?

Summary

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.

Author Biography

<b>Wing Kam Liu</b>, Professor, Department of Mechanical Engineering, Northwestern University, 2145 Sheridan Road, Evanston, IL 60208-3111, USA <p> Wing Kam Liu has been Professor at the Department of Mechanical Engineering at Northwestern University since 1988. He is also Director of the NSF Summer Institute on Nano Mechanics and Materials. His research interests here include concurrent and hierarchical bridging scale methods for computational mechanics, in particular nano-mechanics and materials, and multi-scale analysis. He is an experienced author, having authored/co-authored over 100 published articles and the book <i>Meshfree Particle Methods</i> (Springer-Verlag, 2004) with Shaofan Li. He is the US Editor of the <i>International Journal of Applied Mathematics and Mechanics</i> (Springer) and has also worked as a consultant to a number of international companies and organizations. <p> <b>Eduard G. Karpov</b>, Department of Mechanical Engineering, Northwestern University, 2145 Sheridan Road, Evanston, IL 60208-3111, USA <p> <b>Harold S. Park</b>, Department of Mechanical Engineering, Northwestern University, 2145 Sheridan Road, Evanston, IL 60208-3111, USA

Table of Contents

Preface xi
Introduction
1(6)
Potential of Nanoscale Engineering
1(1)
Motivation for Multiple Scale Modeling
2(3)
Educational Approach
5(2)
Classical Molecular Dynamics
7(30)
Mechanics of a System of Particles
7(10)
Generalized Coordinates
8(1)
Mechanical Forces and Potential Energy
8(2)
Lagrange Equations of Motion
10(2)
Integrals of Motion and Symmetric Fields
12(1)
Newtonian Equations
13(1)
Examples
14(3)
Molecular Forces
17(11)
External Fields
18(2)
Pair-Wise Interaction
20(4)
Multibody Interaction
24(2)
Exercises
26(2)
Molecular Dynamics Applications
28(9)
Lattice Mechanics
37(42)
Elements of Lattice Symmetries
37(5)
Bravais Lattices
38(2)
Basic Symmetry Principles
40(2)
Crystallographic Directions and Planes
42(1)
Equation of Motion of a Regular Lattice
42(7)
Unit Cell and the Associate Substructure
43(2)
Lattice Lagrangian and Equations of Motion
45(2)
Examples
47(2)
Transforms
49(5)
Fourier Transform
50(1)
Laplace Transform
51(2)
Discrete Fourier Transform
53(1)
Standing Waves in Lattices
54(4)
Normal Modes and Dispersion Branches
55(2)
Examples
57(1)
Green's Function Methods
58(8)
Solution for a Unit Pulse
59(2)
Free Lattice with Initial Perturbations
61(1)
Solution for Arbitrary Dynamic Loads
61(1)
General Inhomogeneous Solution
62(1)
Boundary Value Problems and the Time History Kernel
62(3)
Examples
65(1)
Quasi-Static Approximation
66(13)
Equilibrium State Equation
66(1)
Quasi-Static Green's Function
67(1)
Multiscale Boundary Conditions
67(12)
Methods of Thermodynamics and Statistical Mechanics
79(44)
Basic Results of the Thermodynamic Method
80(11)
State Equations
81(3)
Energy Conservation Principle
84(2)
Entropy and the Second Law of Thermodynamics
86(2)
Nernst's Postulate
88(1)
Thermodynamic Potentials
89(2)
Statistics of Multiparticle Systems in Thermodynamic Equilibrium
91(20)
Hamiltonian Formulation
92(1)
Statistical Description of Multiparticle Systems
93(4)
Microcanonical Ensemble
97(4)
Canonical Ensemble
101(3)
Maxwell-Boltzmann Distribution
104(3)
Thermal Properties of Periodic Lattices
107(4)
Numerical Heat Bath Techniques
111(12)
Berendsen Thermostat
112(6)
Nose-Hoover Heat Bath
118(1)
Phonon Method for Solid-Solid Interfaces
119(4)
Introduction to Multiple Scale Modeling
123(8)
MAAD
124(2)
Coarse-Grained Molecular Dynamics
126(1)
Quasi-Continuum Method
126(2)
CADD
128(1)
Bridging Domain
129(2)
Introduction to Bridging Scale
131(44)
Bridging Scale Fundamentals
131(5)
Multiscale Equations of Motion
133(3)
Removing Fine Scale Degrees of Freedom in Coarse Scale Region
136(16)
Relationship of Lattice Mechanics to Finite Elements
137(2)
Linearized MD Equation of Motion
139(2)
Elimination of Fine Scale Degrees of Freedom
141(2)
Commentary on Reduced Multiscale Formulation
143(1)
Elimination of Fine Scale Degrees of Freedom: 3D Generalization
143(7)
Numerical Implementation of Impedance Force
150(1)
Numerical Implementation of Coupling Force
151(1)
Discussion on the Damping Kernel Technique
152(6)
Programming Algorithm for Time History Kernel
157(1)
Cauchy-Born Rule
158(1)
Virtual Atom Cluster Method
159(11)
Motivations and General Formulation
159(4)
General Idea of the VAC Model
163(1)
Three-Way Concurrent Coupling with QM Method
164(3)
Tight-Binding Method for Carbon Systems
167(2)
Coupling with the VAC Model
169(1)
Staggered Time Integration Algorithm
170(2)
MD Update
170(2)
FE Update
172(1)
Summary of Bridging Scale Equations
172(1)
Discussion on the Bridging Scale Method
173(2)
Bridging Scale Numerical Examples
175(28)
Comments on Time History Kernel
175(1)
1D Bridging Scale Numerical Examples
176(6)
Lennard-Jones Numerical Examples
176(2)
Comparison of VAC Method and Cauchy--Born Rule
178(1)
Truncation of Time History Kernel
179(3)
2D/3D Bridging Scale Numerical Examples
182(2)
Two-Dimensional Wave Propagation
184(3)
Dynamic Crack Propagation in Two Dimensions
187(8)
Dynamic Crack Propagation in Three Dimensions
195(5)
Virtual Atom Cluster Numerical Examples
200(3)
Bending of Carbon Nanotubes
200(1)
VAC Coupling with Tight Binding
200(3)
Non-Nearest Neighbor MD Boundary Condition
203(20)
Introduction
203(1)
Theoretical Formulation in 3D
203(9)
Force Boundary Condition: ID Illustration
207(3)
Displacement Boundary Condition: ID Illustration
210(1)
Comparison to Nearest Neighbors Formulation
211(1)
Advantages of Displacement Formulation
212(1)
Numerical Examples: 1D Wave Propagation
212(1)
Time-History Kernels for FCC Gold
213(2)
Conclusion for the Bridging Scale Method
215(8)
Bridging Scale Perspectives
220(3)
Multiscale Methods for Material Design
223(40)
Multiresolution Continuum Analysis
225(9)
Generalized Stress and Deformation Measures
227(4)
Interaction between Scales
231(1)
Multiscale Materials Modeling
232(2)
Multiscale Constitutive Modeling of Steels
234(10)
Methodology and Approach
235(1)
First-Principles Calculation
235(2)
Hierarchical Unit Cell and Constitutive Model
237(2)
Laboratory Specimen Scale: Simulation and Results
239(5)
Bio-Inspired Materials
244(16)
Mechanisms of Self-Healing in Materials
244(2)
Shape-Memory Composites
246(4)
Multiscale Continuum Modeling of SMA Composites
250(6)
Issues of Modeling and Simulation
256(4)
Summary and Future Research Directions
260(3)
Bio-Nano Interface
263(34)
Introduction
263(2)
Immersed Finite Element Method
265(4)
Formulation
265(3)
Computational Algorithm of IFEM
268(1)
Vascular Flow and Blood Rheology
269(11)
Heart Model
269(1)
Flexible Valve-Viscous Fluid Interaction
270(1)
Angioplasty Stent
270(2)
Monocyte Deposition
272(1)
Platelet Adhesion and Blood Clotting
272(2)
RBC Aggregation and Interaction
274(6)
Electrohydrodynamic Coupling
280(7)
Maxwell Equations
281(2)
Electro-manipulation
283(2)
Rotation of CNTs Induced by Electroosmotic Flow
285(2)
CNT/DNA Assembly Simulation
287(3)
Cell Migration and Cell-Substrate Adhesion
290(5)
Conclusions
295(2)
Appendix A Kernel Matrices for EAM Potential 297(4)
Bibliography 301(14)
Index 315

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