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 263
... approaches . The first approach uses the discretized model , based on finite element analysis , and proceeds to carry out shape design sensitivity analysis by controlling finite element node movement and differentiating the algebraic ...
... approaches . The first approach uses the discretized model , based on finite element analysis , and proceeds to carry out shape design sensitivity analysis by controlling finite element node movement and differentiating the algebraic ...
Page 264
... approach and material derivative approach give the same gradient . Design sensitivity analysis in a general framework is given in Céa ( 1981b , 1986 ) . In addition , the following approaches are interesting from the nu- merical point ...
... approach and material derivative approach give the same gradient . Design sensitivity analysis in a general framework is given in Céa ( 1981b , 1986 ) . In addition , the following approaches are interesting from the nu- merical point ...
Page 334
... approach 15 penalty functional 15 , 18 , 73 , 204 , 214 , 234 , 236 , 238-239 penalty method for approximating packaging problem 204-205 scalar case 59-63 state constrained problems 233-245 variational inequalities 19-24 , 59 , 214- 215 ...
... approach 15 penalty functional 15 , 18 , 73 , 204 , 214 , 234 , 236 , 238-239 penalty method for approximating packaging problem 204-205 scalar case 59-63 state constrained problems 233-245 variational inequalities 19-24 , 59 , 214- 215 ...
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