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Optimal design of 2D conducting graded materials by minimizing quadratic functionals in the field

机译:通过最小化现场的二次函数来优化2D导电梯度材料的优化设计

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摘要

We explore a typical optimal design problem in 2D conductivity: given fixed amounts of two isotropic dielectric materials, decide how we are to mix them in a 2D domain so as to minimize a certain cost functional depending on the underlying electric field. We rely on a reformulation of the optimal design problem as a vector variational problem and examine its relaxation, taking advantage of the explicit formulae for the relaxed integrands recently computed in Pedregal (2003). We provide numerical evidence, based on our relaxation, that Tartar's result (Tartar 1994) is verified when the target field is zero (also for divergence-free fields) and optimal solutions are given by first-order laminates. This same evidence also holds for a general quadratic functional in the field.
机译:我们探索2D电导率中的一个典型的最佳设计问题:给定固定数量的两种各向同性介电材料,决定如何在2D域中将它们混合,以便根据底层电场最小化某些成本函数。我们将重新设计最佳设计问题作为向量变分问题,并利用最近在Pedregal(2003)中计算的松弛被积数的显式公式来研究其松弛。基于放松,我们提供了数值证据,证明了当目标场为零时(也适用于无散度场),Tartar的结果(Tartar 1994)得到了验证,并且通过一阶叠层给出了最优解。同样的证据也适用于该领域的一般二次函数。

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