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9780849335631

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

by
  • ISBN13:

    9780849335631

  • ISBN10:

    0849335639

  • Format: Hardcover
  • Copyright: 2005-03-01
  • Publisher: CRC
  • Purchase Benefits
List Price: $104.95
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Summary

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.

Table of Contents

Preface ix
About the Author xi
List of Figures xvii
List of tables xix
Acknowledgments xxi
I Numerical Model Generation 1(82)
1 Finite Element Analysis
3(24)
1.1 Solution of boundary value problems
3(3)
1.2 Finite element shape functions
6(2)
1.3 Finite element basis functions
8(3)
1.4 Assembly of finite element matrices
11(3)
1.5 Element matrix generation
14(4)
1.6 Local to global coordinate transformation
18(1)
1.7 A quadrilateral finite element
19(6)
References
25(2)
2 Finite Element Model Generation
27(16)
2.1 Spline approximation
27(6)
2.2 Geometric modeling objects
33(4)
2.3 Geometric model discretization
37(2)
2.4 Delaunay mesh generation
39(2)
References
41(2)
3 Modeling of Physical Phenomena
43(16)
3.1 Lagrange's equations of motion
43(2)
3.2 Continuum mechanical systems
45(2)
3.3 Finite element analysis of elastic continuum
47(2)
3.4 A tetrahedral finite element
49(4)
3.5 Equation of motion of mechanical system
53(2)
3.6 Transformation to frequency domain
55(2)
References
57(2)
4 Constraints and Boundary Conditions
59(14)
4.1 The concept of multi-point constraints
60(3)
4.2 The elimination of multi-point constraints
63(3)
4.3 An axial bar element
66(3)
4.4 The concept of single-point constraints
69(1)
4.5 The elimination of single-point constraints
70(2)
References
72(1)
5 Singularity Detection of Finite Element Models
73(10)
5.1 Local singularities
73(4)
5.2 Global singularities
77(2)
5.3 Massless degrees of freedom
79(1)
5.4 Industrial case studies
80(2)
References
82(1)
II Computational Reduction Techniques 83(98)
6 Matrix Factorization and Linear System Solution
85(16)
6.1 Finite element matrix reordering
85(3)
6.2 Sparse matrix factorization
88(2)
6.3 Multi-frontal factorization
90(2)
6.4 Linear system solution
92(1)
6.5 Distributed factorization and solution
93(3)
6.6 Factorization case study
96(3)
References
99(2)
7 Static Condensation
101(16)
7.1 Single-level, single-component condensation
101(3)
7.2 Computational example
104(1)
7.3 Single-level, multiple-component condensation
105(4)
7.4 Multiple-level static condensation
109(4)
7.5 Static condensation case study
113(3)
References
116(1)
8 Spectral Computations
117(30)
8.1 Spectral transformation
117(2)
8.2 Lanczos reduction
119(3)
8.3 Generalized eigenvalue problem
122(2)
8.4 Eigenvalue computation
124(2)
8.5 Distributed eigenvalue computation
126(4)
8.6 Normal modes analysis case study
130(3)
8.7 Complex spectral computation
133(3)
8.8 Complex modes analysis case study
136(2)
8.9 Dense eigenvalue analysis
138(3)
8.10 Householder reduction techniques
141(1)
8.11 Tridiagonal reduction
142(2)
8.12 Reduction to Hessenberg form
144(1)
References
145(2)
9 Dynamic Reduction
147(16)
9.1 Single-level, single-component dynamic reduction
147(2)
9.2 Accuracy of dynamic reduction
149(3)
9.3 Computational example
152(2)
9.4 Single-level, multiple-component dynamic reduction
154(2)
9.5 Multiple-level dynamic reduction
156(3)
9.6 Multi-body analysis application
159(1)
References
160(3)
10 Component Modal Synthesis
163(18)
10.1 Single-level, single-component modal synthesis
163(2)
10.2 Mixed boundary component mode reduction
165(3)
10.3 Computational example
168(3)
10.4 Single-level, multiple-component modal synthesis
171(3)
10.5 Multiple-level modal synthesis
174(2)
10.6 Component modal synthesis case study
176(2)
References
178(3)
III Engineering Solution Computations 181(78)
11 Modal Solution Technique
183(12)
11.1 Modal reduction
183(2)
11.2 Truncation error in modal reduction
185(1)
11.3 The method of residual flexibility
186(3)
11.4 The method of mode acceleration
189(1)
11.5 Coupled modal solution application
190(3)
References
193(2)
12 Transient Response Analysis
195(10)
12.1 The central difference method
195(1)
12.2 The Newmark method
196(2)
12.3 Starting conditions and time step changes
198(1)
12.4 Stability of time integration techniques
199(3)
12.5 Transient solution case study
202(2)
References
204(1)
13 Frequency Domain Analysis
205(8)
13.1 Direct and modal frequency response analysis
205(1)
13.2 Reduced-order frequency response analysis
206(3)
13.3 Accuracy of reduced-order solution
209(1)
13.4 Frequency response case study
210(1)
References
211(2)
14 Nonlinear Analysis
213(16)
14.1 Introduction to nonlinear analysis
213(4)
14.2 Newton-Raphson methods
217(2)
14.3 Quasi-Newton iteration techniques
219(3)
14.4 Convergence criteria
222(1)
14.5 Computational example
223(2)
14.6 Nonlinear dynamics
225(2)
References
227(2)
15 Sensitivity and Optimization
229(20)
15.1 Design sensitivity
229(1)
15.2 Design optimization
230(4)
15.3 Planar bending of the bar
234(3)
15.4 Computational example
237(5)
15.5 Eigenfunction sensitivities
242(2)
15.6 Variational analysis
244(3)
References
247(2)
16 Engineering Result Computations
249(10)
16.1 Displacement recovery
249(2)
16.2 Stress calculation
251(1)
16.3 Nodal data interpolation
251(3)
16.4 Level curve computation
254(2)
16.5 Engineering results case study
256(1)
References
257(2)
Closing Remarks 259(2)
Annotation 261(2)
Index 263

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