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9780387975207

Computational Inelasticity

by ;
  • ISBN13:

    9780387975207

  • ISBN10:

    0387975209

  • Format: Hardcover
  • Copyright: 1998-08-01
  • Publisher: Springer Verlag
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List Price: $169.00

Summary

This book describes the theoretical foundations of inelasticity, its numerical formulation and implementation. The subject matter described herein constitutes a representative sample of state-of-the- art methodology currently used in inelastic calculations. Among the numerous topics covered are small deformation plasticity and viscoplasticity, convex optimization theory, integration algorithms for the constitutive equation of plasticity and viscoplasticity, the variational setting of boundary value problems and discretization by finite element methods. Also addressed are the generalization of the theory to non-smooth yield surface, mathematical numerical analysis issues of general return mapping algorithms, the generalization to finite-strain inelasticity theory, objective integration algorithms for rate constitutive equations, the theory of hyperelastic-based plasticity models and small and large deformation viscoelasticity. Computational Inelasticity will be of great interest to researchers and graduate students in various branches of engineering, especially civil, aeronautical and mechanical, and applied mathematics.

Table of Contents

Preface v
Chapter 1 Motivation. One-Dimensional Plasticity and Viscoplasticity
1(70)
1.1 Overview
1(1)
1.2 Motivation. One-Dimensional Frictional Models
2(19)
1.2.1 Local Governing Equations
2(7)
1.2.2 An Elementary Model for (Isotropic) Hardening Plasticity
9(4)
1.2.3 Alternative Form of the Loading/Unloading Conditions
13(4)
1.2.4 Further Refinements of the Hardening Law
17(2)
1.2.5 Geometric Properties of the Elastic Domain
19(2)
1.3 The Initial Boundary-Value Problem
21(11)
1.3.1 The Local Form of the IBVP
22(2)
1.3.2 The Weak Formulation of the IBVP
24(2)
1.3.3 Dissipation. A priori Stability Estimate
26(3)
1.3.4 Uniqueness of the Solution to the IBVP. Contractivity
29(2)
1.3.5 Outline of the Numerical Solution of the IBVP
31(1)
1.4 Integration Algorithms for Rate-Independent Plasticity
32(14)
1.4.1 The Incremental Form of Rate-Independent Plasticity
33(2)
1.4.2 Return-Mapping Algorithms. Isotropic Hardening
35(4)
1.4.3 Discrete Variational Formulation. Convex Optimization
39(4)
1.4.4 Extension to the Combined Isotropic/Kinematic Hardening Model
43(3)
1.5 Finite-Element Solution of the Elastoplastic IBVP. An Illustration
46(7)
1.5.1 Spatial Discretization. Finite-Element Approximation
46(3)
1.5.2 Incremental Solution Procedure
49(4)
1.6 Stability Analysis of the Algorithmic IBVP
53(4)
1.6.1 Algorithmic Approximation to the Dynamic Weak Form
54(3)
1.7 One-Dimensional Viscoplasticity
57(14)
1.7.1 One-Dimensional Rheological Model
58(6)
1.7.2 Dissipation. A Priori Stability Estimate
64(2)
1.7.3 An Integration Algorithm for Viscoplasticity
66(5)
Chapter 2 Classical Rate-Independent Plasticity and Viscoplasticity
71(42)
2.1 Review of Some Standard Notation
72(3)
2.1.1 The Local Form of the IBVP. Elasticity
73(2)
2.2 Classical Rate-Independent Plasticity
75(14)
2.2.1 Strain-Space and Stress-Space Formulations
75(1)
2.2.2 Stress-Space Governing Equations
76(6)
2.2.3 Strain-Space Formulation
82(3)
2.2.4 An Elementary Example: 1-D Plasticity
85(4)
2.3 Plane Strain and 3-D, Classical J(2) Flow Theory
89(2)
2.3.1 Perfect Plasticity
89(1)
2.3.2 J(2) Flow Theory with Isotropic/Kinematic Hardening
90(1)
2.4 Plane-Stress J(2) Flow Theory
91(4)
2.4.1 Projection onto the Plane-Stress Subspace
92(1)
2.4.2 Constrained Plane-Stress Equations
92(3)
2.5 General Quadratic Model of Classical Plasticity
95(3)
2.5.1 The Yield Criterion
96(1)
2.5.2 Evolution Equations. Elastoplastic Moduli
96(2)
2.6 The Principle of Maximum Plastic Dissipation
98(7)
2.6.1 Classical Formulation. Perfect Plasticity
98(3)
2.6.2 General Associative Hardening Plasticity in Stress Space
101(2)
2.6.3 Interpretation of Associative Plasticity as a Variational Inequality
103(2)
2.7 Classical (Rate-Dependent) Viscoplasticity
105(8)
2.7.1 Formulation of the Basic Governing Equations
105(1)
2.7.2 Interpretation as a Viscoplastic Regularization
105(1)
2.7.3 Penalty Formulation of the Principle of Maximum Plastic Dissipation
106(4)
2.7.4 The Generalized Duvaut-Lions Model
110(3)
Chapter 3 Integration Algorithms for Plasticity and Viscoplasticity
113(41)
3.1 Basic Algorithmic Setup. Strain-Driven Problem
114(1)
3.1.1 Associative plasticity
115(1)
3.2 The Notion of Closest Point Projection
115(5)
3.2.1 Plastic Loading. Discrete Kuhn-Tucker Conditions
116(2)
3.2.2 Geometric Interpretation
118(2)
3.3 Example 3.1. J(2) Plasticity. Nonlinear Isotropic/Kinematic Hardening
120(5)
3.3.1 Radial Return Mapping
120(2)
3.3.2 Exact Linearization of the Algorithm
122(3)
3.4 Example 3.2. Plane-Stress J(2) Plasticity. Kinematic/Isotropic Hardening
125(14)
3.4.1 Return-Mapping Algorithm
126(1)
3.4.2 Consistent Elastoplastic Tangent Moduli
127(1)
3.4.3 Implementation
128(3)
3.4.4 Accuracy Assessment. Isoerror Maps
131(2)
3.4.5 Closed-Form Exact Solution of the Consistency Equation
133(6)
3.5 Interpretation. Operator Splits and Product Formulas
139(4)
3.5.1 Example 3.3. Lie's Formula
139(1)
3.5.2 Elastic-Plastic Operator Split
140(1)
3.5.3 Elastic Predictor. Trial Elastic State
140(1)
3.5.4 Plastic Corrector. Return Mapping
141(2)
3.6 General Return-Mapping Algorithms
143(6)
3.6.1 General Closest Point Projection
143(2)
3.6.2 Consistent Elastoplastic Moduli. Perfect Plasticity
145(3)
3.6.3 Cutting-Plane Algorithm
148(1)
3.7 Extension of General Algorithms to Viscoplasticity
149(5)
3.7.1 Motivation. J(2)-Viscoplasticity
150(1)
3.7.2 Closest Point Projection
151(1)
3.7.3 A Note on Notational Conventions
151(3)
Chapter 4 Discrete Variational Formulation and Finite-Element Implementation
154(44)
4.1 Review of Some Basic Notation
155(6)
4.1.1 Gateaux Variation
156(2)
4.1.2 The Functional Derivative
158(1)
4.1.3 Euler-Lagrange Equations
159(2)
4.2 General Variational Framework for Elastoplasticity
161(7)
4.2.1 Variational Characterization of Plastic Response
162(1)
4.2.2 Discrete Lagrangian for elastoplasticity
163(2)
4.2.3 Variational Form of the Governing Equations
165(2)
4.2.4 Extension to Viscoplasticity
167(1)
4.3 Finite-Element Formulation. Assumed-Strain Method
168(10)
4.3.1 Matrix and Vector Notation
168(2)
4.3.2 Summary of Governing Equations
170(1)
4.3.3 Discontinuous Strain and Stress Interpolations
170(1)
4.3.4 Reduced Residual. Generalized Displacement Model
171(1)
4.3.5 Closest Point Projection Algorithm
172(2)
4.3.6 Linearization. Consistent Tangent Operator
174(2)
4.3.7 Matrix Expressions
176(1)
4.3.8 Variational Consistency of Assumed-Strain Methods
176(2)
4.4 Application. B-Bar Method for Incompressibility
178(5)
4.4.1 Assumed-Strain and Stress Fields
178(1)
4.4.2 Weak Forms
179(1)
4.4.3 Discontinuous Volume/Mean-Stress Interpolations
180(1)
4.4.4 Implementation 1. B-Bar-Approach
181(1)
4.4.5 Implementation 2. Mixed Approach
182(1)
4.4.6 Examples and Remarks on Convergence
183(1)
4.5 Numerical Simulations
183(15)
4.5.1 Plane-Strain J(2) Flow Theory
184(4)
4.5.2 Plane-Stress J(2) Flow Theory
188(10)
Chapter 5 Nonsmooth Multisurface Plasticity and Viscoplasticity
198(21)
5.1 Rate-Independent Multisurface Plasticity. Continuum Formulation
199(7)
5.1.1 Summary of Governing Equations
199(2)
5.1.2 Loading/Unloading Conditions
201(3)
5.1.3 Consistency Condition. Elastoplastic Tangent Moduli
204(1)
5.1.4 Geometric Interpretation
204(2)
5.2 Discrete Formulation. Rate-Independent Elastoplasticity
206(9)
5.2.1 Closest Point Projection Algorithm for Multisurface Plasticity
206(2)
5.2.2 Loading/Unloading. Discrete Kuhn-Tucker Conditions
208(1)
5.2.3 Solution Algorithm and Implementation
209(3)
5.2.4 Linearization: Algorithmic Tangent Moduli
212(3)
5.3 Extension to Viscoplasticity
215(4)
5.3.1 Motivation. Perzyna-Type Models
216(1)
5.3.2 Extension of the Duvaut-Lions Model
217(1)
5.3.3 Discrete Formulation
217(2)
Chapter 6 Numerical Analysis of General Return Mapping Algorithms
219(21)
6.1 Motivation: Nonlinear Heat Conduction
220(8)
6.1.1 The Continuum Problem
221(4)
6.1.2 The Algorithmic Problem
225(1)
6.1.3 Nonlinear Stability Analysis
226(2)
6.2 Infinitesimal Elastoplasticity
228(11)
6.2.1 The Continuum Problem for Plasticity and Viscoplasticity
228(7)
6.2.2 The Algorithmic Problem
235(2)
6.2.3 Nonlinear Stability Analysis
237(2)
6.3 Concluding Remarks
239(1)
Chapter 7 Nonlinear Continuum Mechanics and Phenomenological Plasticity Models
240(36)
7.1 Review of some Basic Results in Continuum Mechanics
240(22)
7.1.1 Configurations. Basic Kinematics
241(4)
7.1.2 Motions. Lagrangian and Eulerian Descriptions
245(3)
7.1.3 Rate of Deformation Tensors
248(2)
7.1.4 Stress Tensors. Equations of Motion
250(2)
7.1.5 Objectivity. Elastic Constitutive Equations
252(7)
7.1.6 The Notion of Isotropy. Isotropic Elastic Response
259(3)
7.2 Variational Formulation. Weak Form of Momentum Balance
262(7)
7.2.1 Configuration Space and Admissible Variations
262(7)
7.2.2 The Weak Form of Momentum Balance
264(2)
7.2.3 The Rate Form of the Weak Form of Momentum Balance
266(3)
7.3 Ad Hoc Extensions of Phenomenological Plasticity Based on Hypoelastic Relationships
269(7)
7.3.1 Formulation in the Spatial Description
269(2)
7.3.2 Formulation in the Rotated Description
271(5)
Chapter 8 Objective Integration Algorithms for Rate Formulations of Elastoplasticity
276(24)
8.1 Objective Time-Stepping Algorithms
278(9)
8.1.1 The Geometric Setup
279(2)
8.1.2 Approximation for the Rate of Deformation Tensor
281(2)
8.1.3 Approximation for the Lie Derivative
283(2)
8.1.4 Application: Numerical Integration of Rate Constitutive Equations
285(2)
8.2 Application to J(2) Flow Theory at Finite Strains
287(3)
8.2.1 A J(2) Flow Theory
288(2)
8.3 Objective Algorithms Based on the Notion of a Rotated Configuration
290(10)
8.3.1 Objective Integration of Elastoplastic Models
291(4)
8.3.2 Time-Stepping Algorithms for the Orthogonal Group
295(5)
Chapter 9 Phenomenological Plasticity Models Based on the Notion of an Intermediate Stress-Free Configuration
300(36)
9.1 Kinematic Preliminaries. The (Local) Intermediate Configuration
301(5)
9.1.1 Micromechanical Motivation. Single-Crystal Plasticity
301(1)
9.1.2 Kinematic Relationships Associated with the Intermediate Configuration
302(3)
9.1.3 Deviatoric-Volumetric Multiplicative Split
305(1)
9.2 J(2) Flow Theory at Finite Strains. A Model Problem
306(5)
9.2.1 Formulation of the Governing Equations
307(4)
9.3 Integration Algorithm for J(2) Flow Theory
311(11)
9.3.1 Integration of the Flow Rule and Hardening Law
311(3)
9.3.2 The Return-Mapping Algorithm
314(6)
9.3.3 Exact Linearization of the Algorithm
320(2)
9.4 Assessment of the Theory. Numerical Simulations
322(14)
Chapter 10 Viscoelasticity
336(39)
10.1 Motivation. One-Dimensional Rheological Models
337(10)
10.1.1 Formulation of the Constitutive Model
338(1)
10.1.2 Convolution Representation
339(4)
10.1.3 Generalized Relaxation Models
343(4)
10.2 Three-Dimensional Models: Formulation Restricted to Linearized Kinematics
347(4)
10.2.1 Formulation of the Model
347(2)
10.2.2 Thermodynamic Aspects. Dissipation
349(2)
10.3 Integration Algorithms
351(7)
10.3.1 Algorithmic Internal Variables and Finite-Element Database
351(2)
10.3.2 One-Step, Unconditionally Stable and Second-Order Accurate Recurrence Formula
353(2)
10.3.3 Linearization. Consistent Tangent Moduli
355(3)
10.4 Finite Elasticity with Uncoupled Volume Response
358(6)
10.4.1 Volumetric/Deviatoric Multiplicative Split
358(1)
10.4.2 Stored-Energy Function and Stress Response
359(2)
10.4.3 Elastic Tangent Moduli
361(3)
10.5 A Class of Nonlinear, Viscoelastic, Constitutive Models
364(3)
10.5.1 Formulation of the Nonlinear Viscoelastic Constitutive Model
364(3)
10.6 Implementation of Integration Algorithms for Nonlinear Viscoelasticity
367(8)
10.6.1 One-Step, Second-Order Accurate Recurrence Formula
367(2)
10.6.2 Configuration Update Procedure
369(1)
10.6.3 Consistent (Algorithmic) Tangent Moduli
370(5)
References 375(14)
Index 389

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