| Preface | p. xi |
| Introduction. Problem Description | |
| Direct and Inverse Problems | p. 3 |
| Introduction | p. 3 |
| Direct nonsmooth mechanics problems | p. 3 |
| Inverse and identification problems | p. 4 |
| Recent results and future work | p. 5 |
| References | |
| Theoretical and Computational Tools | |
| Computational Mechanics | p. 11 |
| Elastostatics | p. 11 |
| Small displacement smooth (classical) elastostatics | p. 12 |
| Unilateral contact problems | p. 15 |
| The unilateral contact conditions | p. 19 |
| Friction problems with convex energy potential | p. 21 |
| Combined frictional contact problem | p. 23 |
| BEM formulation and implementation | p. 24 |
| BEM formulation of unilateral problems | p. 24 |
| LCP-BEM static unilateral-frictional contact problems | p. 26 |
| Multi-region BEM formulation for inequality problems | p. 27 |
| Unified LCP formulation of combined unilateral frictional contact problems | p. 29 |
| Solution algorithms | p. 32 |
| Smooth and nonsmooth optimization approach | p. 32 |
| QPP and LCP solution schemes | p. 34 |
| Nonlinear equations for complementerity problems | p. 34 |
| Nonlinear equation reformulation | p. 36 |
| Examples of NCP functions | p. 36 |
| Merit functions | p. 37 |
| Solution technique | p. 37 |
| Formulation of nonlinear equations with FEM and BEM | p. 38 |
| NCP functions proposed in the engineering literature | p. 40 |
| Elastodynamics | p. 41 |
| Steady state, harmonic problems | p. 41 |
| Transient elastodynamics | p. 43 |
| LCP-BEM dynamic unilateral-frictional contact problems | p. 45 |
| References | |
| Computational and Structural Optimization | p. 55 |
| Optimization and optimality conditions | p. 55 |
| Smooth, inequality constrained, convex problems | p. 58 |
| Lagrangians, saddle points, duality | p. 59 |
| Concise form of optimality conditions | p. 61 |
| Convex, nonsmooth optimization | p. 62 |
| Unconstrained | p. 62 |
| Constrained | p. 62 |
| Convex optimization algorithms | p. 63 |
| Smooth Unconstrained Problems | p. 63 |
| Constrained Problems | p. 64 |
| Nonsmooth Problems | p. 67 |
| Optimization under equilibrium constraints (MPEC) | p. 68 |
| Formulation | p. 69 |
| Examples of structural optimization | p. 71 |
| Optimal design for structures | p. 71 |
| Optimal design for unilateral structures | p. 71 |
| Optimal prestress of unilateral Structures | p. 72 |
| Geometry design, inverse or identification problem | p. 73 |
| Nonsmoothness and nonconvexity in MPEC | p. 74 |
| Solution methods | p. 76 |
| Error minimization with regularization | p. 76 |
| Error minimization - regularization - nonlinear equation approach | p. 77 |
| Error minimization - penalty formulation | p. 77 |
| Error minimization - regularization - nonlinear equation approach - penalty formulation | p. 78 |
| Further numerical approaches | p. 78 |
| References | |
| Selected Soft Computing Tools | p. 85 |
| Soft-computing versus classical computing | p. 85 |
| Neural networks | p. 86 |
| Backpropagation neural network model | p. 86 |
| Neural network mappings, motivation and application on inverse problems | p. 89 |
| Genetic algorithms | p. 92 |
| Fuzzy and neuro-fuzzy inference | p. 95 |
| Classical and extended Kalman filter and identification | p. 96 |
| Review | p. 96 |
| Description | p. 97 |
| References | |
| Applications to Inverse Problems | |
| Static Problems | p. 107 |
| Introduction and literature survey | p. 107 |
| Output error formulation of the inverse problem | p. 110 |
| Local optimization approach | p. 112 |
| Neural network solution method | p. 112 |
| Numerical examples of direct problems | p. 114 |
| Static unilateral crack analysis | p. 118 |
| Numerical examples of inverse problems | p. 124 |
| Flaw identification | p. 124 |
| Bilateral and unilateral crack identification through error optimization | p. 133 |
| Classical and unilateral neural crack identification | p. 135 |
| Filter-driven iterative crack identification | p. 147 |
| References | |
| Steady-State Dynamics | p. 157 |
| Introduction and literature survey | p. 157 |
| Output error formulation of the inverse problem | p. 159 |
| Neural network solution of the Inverse Problem | p. 160 |
| Numerical examples | p. 161 |
| Flaw identification | p. 161 |
| Crack identification | p. 168 |
| Direct problem | p. 168 |
| Inverse problem | p. 171 |
| References | |
| Transient Dynamics | p. 187 |
| Introduction and literature survey | p. 187 |
| Numerical examples of direct problems | p. 189 |
| Numerical examples of inverse problems | p. 202 |
| Classical and unilateral impact-echo | p. 202 |
| Outline of the method | p. 202 |
| Numerical comparison | p. 203 |
| Impact-echo and neural identification | p. 204 |
| References | |
| Table of Contents provided by Syndetics. All Rights Reserved. |