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Advances in Computational Dynamics of Particles, Materials and Structures

2. Aufl.

von: Jason Har, Kumar Tamma
140,99 €
Verlag:	Wiley
Format:	PDF
Veröffentl.:	14.06.2012
ISBN/EAN:	9781119965909
Sprache:	englisch
Anzahl Seiten:	710

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Titelbeschreibung

Computational methods for the modeling and simulation of the dynamic response and behavior of particles, materials and structural systems have had a profound influence on science, engineering and technology. Complex science and engineering applications dealing with complicated structural geometries and materials that would be very difficult to treat using analytical methods have been successfully simulated using computational tools. With the incorporation of quantum, molecular and biological mechanics into new models, these methods are poised to play an even bigger role in the future. Advances in Computational Dynamics of Particles, Materials and Structures not only presents emerging trends and cutting edge state-of-the-art tools in a contemporary setting, but also provides a unique blend of classical and new and innovative theoretical and computational aspects covering both particle dynamics, and flexible continuum structural dynamics applications. It provides a unified viewpoint and encompasses the classical Newtonian, Lagrangian, and Hamiltonian mechanics frameworks as well as new and alternative contemporary approaches and their equivalences in [start italics]vector and scalar formalisms[end italics] to address the various problems in engineering sciences and physics. Highlights and key features <ul> <li> Provides practical applications, from a unified perspective, to both particle and continuum mechanics of flexible structures and materials</li> <li>Presents new and traditional developments, as well as alternate perspectives, for space and time discretization </li> <li>Describes a unified viewpoint under the umbrella of Algorithms by Design for the class of linear multi-step methods</li> <li>Includes fundamentals underlying the theoretical aspects and numerical developments, illustrative applications and practice exercises</li> </ul> The completeness and breadth and depth of coverage makes Advances in Computational Dynamics of Particles, Materials and Structures a valuable textbook and reference for graduate students, researchers and engineers/scientists working in the field of computational mechanics; and in the general areas of computational sciences and engineering.

Inhaltsverzeichnis

PREFACE xv ACKNOWLEDGMENTS xxi ABOUT THE AUTHORS xxiii 1 INTRODUCTION 1 1.1 Overview 1 1.2 Applications 13 2 MATHEMATICAL PRELIMINARIES 15 2.1 Sets and Functions 15 2.2 Vector Spaces 18 2.3 Matrix Algebra 24 2.4 Vector Differential Calculus 28 2.5 Vector Integral Calculus 32 2.6 Mean Value Theorem 33 2.7 Function Spaces 34 2.8 Tensor Analysis 38 PART I N-BODY DYNAMICAL SYSTEMS 3 CLASSICAL MECHANICS 57 3.1 Newtonian Mechanics 57 3.2 Lagrangian Mechanics 60 3.3 Hamiltonian Mechanics 91 4 PRINCIPLE OF VIRTUAL WORK 108 4.1 Virtual Work in N-Body Dynamical Systems 108 4.2 Vector Formalism: Newtonian Mechanics in N-Body Dynamical Systems 114 4.3 Scalar Formalisms: Lagrangian and Hamiltonian Mechanics in N-Body Dynamical Systems 116 5 HAMILTON’S PRINCIPLE AND HAMILTON’S LAW OF VARYING ACTION 121 5.1 Introduction 121 5.2 Variation of the Principal Function 122 5.3 Calculus of Variations 125 5.4 Hamilton’s Principle 129 5.5 Hamilton’s Law of Varying Action 133 6 PRINCIPLE OF BALANCE OF MECHANICAL ENERGY 141 6.1 Introduction 142 6.2 Principle of Balance of Mechanical Energy 142 6.3 Total Energy Representations and Framework in the Differential Calculus Setting 144 6.4 Appendix: Total Energy Representations and Framework in the Variational Calculus Setting 156 7 EQUIVALENCE OF EQUATIONS 163 7.1 Equivalence in the Lagrangian Form of D’Alembert’s Principle/Principle of Virtual Work 163 7.2 Equivalence in Hamilton’s Principle or Hamilton’s Law of Varying Action 165 7.3 Equivalence in the Principle of Balance of Mechanical Energy 166 7.4 Equivalence Relations Between Governing Equations 167 7.5 Conservation Laws 171 7.6 Noether’s Theorem 171 PART II CONTINUOUS-BODY DYNAMICAL SYSTEMS 8 CONTINUUM MECHANICS 175 8.1 Displacements, Strains and Stresses 175 8.2 General Principles 197 8.3 Constitutive Equations in Elasticity 206 8.4 Virtual Work and Variational Principles 220 8.5 Direct Variational Methods for Two-Point Boundary-Value Problems 237 9 PRINCIPLE OF VIRTUAL WORK: FINITE ELEMENTS AND SOLID/STRUCTURAL MECHANICS 267 9.1 Introduction 267 9.2 Finite Element Library 301 9.3 Nonlinear Finite Element Formulations 343 9.4 Scalar Formalisms: Lagrangian and Hamiltonian Mechanics and Finite Element Formulations in Continuous-Body Dynamical Systems 350 10 HAMILTON'S PRINCIPLE AND HAMILTON'S LAW OF VARYING ACTION: FINITE ELEMENTS AND SOLID/STRUCTURAL MECHANICS 364 10.1 Introduction 364 10.2 Hamilton’s Principle and Hamilton’s Law of Varying Action in Elastodynamics 365 10.3 Lagrangian Mechanics Framework and Finite Element Formulations 370 10.4 Hamiltonian Mechanics Framework and Finite Element Formulations 400 11 PRINCIPLE OF BALANCE OF MECHANICAL ENERGY: FINITE ELEMENTS AND SOLID/STRUCTURAL MECHANICS 426 11.1 Introduction 427 11.2 Total Energy Representations and Framework in the Differential Calculus Setting and Finite Element Formulations 429 11.3 Lagrangian Mechanics Framework in the Differential Calculus Setting and Finite Element Formulations 449 11.4 Hamiltonian Mechanics Framework in the Differential Calculus Setting and Finite Element Formulations 454 11.5 Appendix: Total Energy Representations and Framework in the Variational Calculus Setting and Finite Element Formulations 458 12 EQUIVALENCE OF EQUATIONS 475 12.1 Equivalence in the Principle of Virtual Work in Dynamics 475 12.2 Equivalence in Hamilton’s Principle or Hamilton’s Law of Varying Action 478 12.3 Equivalence in the Principle of Balance of Mechanical Energy 482 12.4 Equivalence of Strong and Weak Forms for Initial Boundary-Value Problems 483 12.5 Equivalence of the Semi-Discrete Finite Element Equations of Motion 487 12.6 Equivalence of Finite Element Formulations 488 12.7 Conservation Laws 490 PART III THE TIME DIMENSION 13 TIME DISCRETIZATION OF EQUATIONS OF MOTION: OVERVIEW AND CONVENTIONAL PRACTICES 495 13.1 Introduction 495 13.2 Single-Step Methods for First-Order Ordinary Differential Equations 500 13.3 Linear Multistep Methods 505 13.4 Second-Order Systems and Single Step and/or Equivalent LMS Methods: Brief Overview of Classical Methods from Historical Perspectives and Chronological Developments 507 13.5 Symplectic-Momentum Conservation and Variational Time Integrators 527 13.6 Energy-Momentum Conservation and Time Integration Algorithms 536 14 TIME DISCRETIZATION OF EQUATIONS OF MOTION: RECENT ADVANCES 553 14.1 Introduction 553 14.2 Time Discretization and the Total Energy Framework: Linear Dynamic Algorithms and Designs - Generalized Single Step Single Solve [GSSSS] Unified Framework Encompassing LMS Methods 555 14.3 Time Discretization and the Total Energy Framework: Nonlinear Dynamics Algorithms and Designs - Generalized Single Step Single Solve [GSSSS] Framework Encompassing LMS Methods 578 14.4 Time Discretization and Total Energy Framework: N-Body Systems 632 14.5 Time Discretization and Total Energy Framework: Nonconservative/Conservative Mechanical Systems with Holonomic-Scleronomic Constraints 649 14.5.1 General Formulations 650 Exercises 662 REFERENCES 669 INDEX 681

Autorenportrait

Dr. Kumar K. Tamma is Professor in the Dept. of Mechanical Engineering, Institute of Technology, at the University of Minnesota. He is also Director of the Laboratory for Multi-scale Physics, Mechanics, Materials and Modeling.He has published over 170 research papers in leading archival journals in the field, and over 225 in refereed conference proceedings/book chapters, and national/international conference abstracts. His primary areas of research include computational mechanics with emphasis on multi-scale/multi-physics and fluid-thermal-structural interactions; structural dynamics and contact-impact-penetration; computational aspects of microscale/nanoscale heat transfer; composites and manufacturing processes and solidification and computational development of finite element technology and time dependent algorithms. Dr. Jason Har is a Research Associate working with Professor Tamma at the University of Minnesota. He received his Ph.D from Georgia Tech. His areas of research are finite element developments, computational structural dynamics and mechanics.