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    What Every Engineer Should Know About Computational Techniques of Finite Element Analysis

    What Every Engineer Should Know About Computational Techniques of Finite Element Analysis by Komzsik, Louis; Komzsik, Louis;

    Sorozatcím: What Every Engineer Should Know S.; 37;

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    A termék adatai:

    • Kiadás sorszáma 1
    • Kiadó CRC Press
    • Megjelenés dátuma 2005. március 1.

    • ISBN 9780849335631
    • Kötéstípus Keménykötés
    • Terjedelem288 oldal
    • Méret 228x152 mm
    • Súly 522 g
    • Nyelv angol
    • Illusztrációk 49 Illustrations, black & white; 14 Tables, black & white
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    Kategóriák

    Rövid leírás:

    The finite element method has become the dominant tool of analysis in many industrial fields of engineering, particularly in mechanical and aerospace engineering. This process requires significant computational work performed in several distinct phases. This book provides engineers with a walk-through of this process, from the physical model to the computed solution. The author describes the transformation of the physical problem into a mathematical model, reduction of the model to a more efficient, solvable form, and the solution of the problem using specific computational techniques. This is an invaluable guide for practicing engineers who must apply the finite element method in their daily work.

    Több

    Hosszú leírás:

    Finite element analysis (FEA) has become the dominant tool of analysis in many industrial fields of engineering, particularly in mechanical and aerospace engineering. This process requires significant computational work divided into several distinct phases. What Every Engineer Should Know About Computational Techniques of Finite Element Analysis offers a concise, self-contained treatment of FEA and all of the tools needed for efficient use and practical implementation.

    This book provides you with a walk-through of the process from the physical model to the computed solution. Based on the author's thirty years of practical experience in finite element analysis in the shipbuilding, aerospace, and automobile industries, it describes the transformation of the physical problem into a mathematical model, reduction of the model to a more efficient, numerically solvable form, and the solution of the problem using specific computational techniques. The author discusses time and frequency domain solutions as used in practice, as well as the representation of the computed results.

    What Every Engineer Should Know About Computational Techniques of Finite Element Analysis serves as a to-the-point guide to using or implementing FEA for both beginners and everyday users who must apply the finite element method to your daily work. The techniques can be easily executed in most available FEA software packages.

    Finite element analysis (FEA) has become the dominant tool of analysis in many industrial fields of engineering, particularly in mechanical and aerospace engineering. This process requires significant computational work divided into several distinct phases. What Every Engineer Should Know About Computational Techniques of Finite Element Analysis offers a concise, self-contained treatment of FEA and all of the tools needed for efficient use and practical implementation.

    This book provides you with a walk-through of the process from the physical model to the computed solution. Based on the author's thirty years of practical experience in finite element analysis in the shipbuilding, aerospace, and automobile industries, it describes the transformation of the physical problem into a mathematical model, reduction of the model to a more efficient, numerically solvable form, and the solution of the problem using specific computational techniques. The author discusses time and frequency domain solutions as used in practice, as well as the representation of the computed results.

    What Every Engineer Should Know About Computational Techniques of Finite Element Analysis serves as a to-the-point guide to using or implementing FEA for both beginners and everyday users who must apply the finite element method to your daily work. The techniques can be easily executed in most available FEA software packages.

    Több

    Tartalomjegyzék:

    NUMERICAL MODEL GENERATION
    Finite Element Analysis
    Solution of Boundary Value Problems
    Finite Element Shape Functions
    Finite Element Basis Functions
    Assembly of Finite Element Matrices
    Element Matrix Generation
    Local to Global Coordinate Transformation
    A Quadrilateral Finite Element
    References
    Finite Element Model Generation
    Spline Approximation
    Geometric Modeling Objects
    Geometric Model Discretization
    Delaunay Mesh Generation
    References
    Modeling of Physical Phenomena
    Lagrange's Equations of Motion
    Continuum Mechanical Systems
    Finite Element Analysis of Elastic Continuum
    A Tetrahedral Finite Element
    Equation of Motion of Mechanical System
    Transformation to Frequency Domain
    References
    Constraints and Boundary Conditions
    The Concept of Multi-Point Constraints
    The Elimination of Multi-Point Constraints
    The Axial Bar Element
    The Concept of Single Point Constraints
    The Elimination of Single Point Constraints
    References
    Singularity Detection of Finite Element Models
    Local Singularities
    Global Singularities
    Massless Degrees of Freedom
    Industrial Case Studies
    References
    COMPUTATIONAL REDUCTION TECHNIQUES
    Matrix Factorization and Linear System Solution
    Finite Element Matrix Reordering
    Sparse Matrix Factorization
    Multifrontal Factorization
    Linear System Solution
    Distributed Factorization and Solution
    Factorization Case Study
    References
    Static Condensation
    Single Level, Single Component Condensation
    Computational Example
    Single Level, Multiple Component Condensation
    Multiple Level Static Condensation
    Static Condensation Case Study
    References
    Spectral Computations
    Spectral Transformation
    Lanczos Reduction
    Generalized Eigenvalue Problem
    Eigenvalue Computation
    Distributed Eigenvalue Computation
    Normal Modes Analysis Case Study
    Complex Spectral Computations
    Complex Modes Analysis Case Study
    Dense Eigenvalue Analysis
    Householder Reduction Techniques
    Tridiagonal Reduction
    Reduction to Hessenberg Form
    References
    Dynamic Reduction
    Single Level, Single Component Dynamic Reduction
    Accuracy of Dynamic Reduction
    Computational Example
    Single Level, Multiple Component Dynamic Reduction
    Multiple Level Dynamic Reduction
    Multibody Analysis Application
    References
    Component Modal Synthesis
    Single Level, Single Component Modal Synthesis
    Mixed Boundary Component Mode Reduction
    Computational Example
    Single Level, Multiple Component Modal Synthesis
    Multiple Level Modal Synthesis
    Component Modal Synthesis Case Study
    References
    ENGINEERING SOLUTION COMPUTATIONS
    Modal Solution Technique
    Modal Reduction
    Truncation Error in Modal Reduction
    The Method of Residual Flexibility
    The Method of Mode Acceleration
    Coupled Modal Solution Application
    References
    Transient Response Analysis
    The Central Difference Method
    The Newmark Method
    Starting Conditions and Time Step Changes
    Stability of Time Integration Techniques
    Transient Solution Case Study
    References
    Frequency Domain Analysis
    Direct Frequency Response Analysis
    Reduced Order Frequency Response Analysis
    Accuracy of Reduced Order Solution
    Frequency Response Case Study
    References
    Nonlinear Analysis
    Introduction to Nonlinear Analysis
    Newton-Raphson Methods
    Quasi-Newton Iteration Techniques
    Convergence Criteria
    Computational Example
    Nonlinear Dynamics
    References
    Sensitivity and Optimization
    Design Sensitivity
    Design Optimization
    Planar Bending of the Bar
    Computational Example
    Eigenfunction Sensitivities
    Variational Analysis
    References
    Engineering Result Computations
    Displacement Recovery
    Stress Calculation
    Nodal Data Interpolation
    Level Curve Computation
    Engineering Results Case Study
    References
    Closing Remarks
    Annotation
    Index

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