Finite Element Approximation for Optimal Shape Design: Theory and ApplicationsExplains how to speed the optimal shape design process using a computer. Outlines the problems inherent in optimal shape design and discusses methods of their solution. Concentrates on finite element approximation and describes numerical realization of optimization techniques. Treats optimal design problems via the optimal control theory when the state systems are governed by variational inequalities. Provides useful background information, followed by numerous approaches to optimal shape design, all supported by illustrative examples. Appendices provide algorithms and numerous examples and their calculations are included. |
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Page 51
... variational inequality . There is one essential difference between problems where the state of the system is governed by variational equations and those where it is governed by inequalities . The first kind of problem is usually ...
... variational inequality . There is one essential difference between problems where the state of the system is governed by variational equations and those where it is governed by inequalities . The first kind of problem is usually ...
Page 334
... variational inequalities 19-24 , 59 , 214- 215 plane elasticity strain 133 stress 133 Poisson equation -Au = ƒ 18 Poisson ratio 134 polynomial of first order 26 potential energy 50 procedure for optimal shape design problem 91-95 ...
... variational inequalities 19-24 , 59 , 214- 215 plane elasticity strain 133 stress 133 Poisson equation -Au = ƒ 18 Poisson ratio 134 polynomial of first order 26 potential energy 50 procedure for optimal shape design problem 91-95 ...
Page 334
... variational inequality approach 246-249 state problem solver 94 subgradient methods 288–299 summation convention 10 ... variational formulation mixed 15 penalty approach 15 primal 13 variational inequality 13 , 54 , 72 , 136 , 170 , 191 ...
... variational inequality approach 246-249 state problem solver 94 subgradient methods 288–299 summation convention 10 ... variational formulation mixed 15 penalty approach 15 primal 13 variational inequality 13 , 54 , 72 , 136 , 170 , 191 ...
Contents
Preliminaries | 1 |
Abstract setting of optimal shape design problem and | 28 |
Optimal shape design of systems governed by a unilateral | 53 |
Copyright | |
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adjoint algorithm Appendix applied approximation boundary value problem C₁ Céa compute constraints contact problems convex convex set cost functional defined denote design sensitivity analysis differentiable discrete domain elastic exist a subsequence Figure Find finite element follows formula given Gm(a H¹(Î Haslinger Haug Hlaváček I₁ Ir(an ITERATION jEJk Komkov Lagrange multipliers least one solution Lemma lim inf lim sup linear Lipschitz Lipschitz continuous lower semicontinuous mapping material derivative matrix method minimization Nečas Neittaanmäki nodes nonlinear nonlinear programming nonsmooth Numerical results obtain optimal control optimal design optimal pair optimal shape design parameter Pironneau Proof results for Example Section sensitivity analysis sequence shape design problems Shape optimization Sokolowski solves P(a subgradient subset T₁ Theorem triangulation un(an unilateral boundary value variational inequality vector w₁ Zolesio г₁