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 | |
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