MIXED FINITE ELEMENT METHOD FOR A DEGENERATE CONVEX VARIATIONAL PROBLEM FROM TOPOLOGY OPTIMIZATION

被引:4
|
作者
Carstensen, Carsten [1 ,2 ]
Guenther, David [3 ]
Rabus, Hella [1 ]
机构
[1] Humboldt Univ, D-10099 Berlin, Germany
[2] Yonsei Univ, Dept Computat Sci & Engn, Seoul 120749, South Korea
[3] Max Planck Inst Informat, D-66123 Saarbrucken, Germany
关键词
adaptive finite element method; adaptive mixed finite element method; optimal design; degenerate convex minimization; OPTIMAL-DESIGN; NUMERICAL-ANALYSIS; RELAXATION; CONVERGENCE;
D O I
10.1137/100806837
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
The optimal design task of this paper seeks the distribution of two materials of prescribed amounts for maximal torsion stiffness of an infinite bar of a given cross section. This example of relaxation in topology optimization leads to a degenerate convex minimization problem E (v) := integral(Omega)phi(0)(vertical bar del v vertical bar) dx - integral(Omega) fv dx for v is an element of V := H-0(1)(Omega) with possibly multiple primal solutions u, but with unique stress sigma := phi'(0) (vertical bar del u vertical bar) sign del u. The mixed finite element method is motivated by the smoothness of the stress variable sigma is an element of H-loc(1) (Omega; R-2), while the primal variables are uncontrollable and possibly nonunique. The corresponding nonlinear mixed finite element method is introduced, analyzed, and implemented. The striking result of this paper is a sharp a posteriori error estimation in the dual formulation, while the a posteriori error analysis in the primal problem suffers from the reliability-efficiency gap. An empirical comparison of that primal formulation with the new mixed discretization schemes is intended for uniform and adaptive mesh refinements.
引用
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页码:522 / 543
页数:22
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