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Shape optimization approaches to free-surface problems

机译:自由表面问题的形状优化方法

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摘要

Three different reformulations of a free-surface problem as shape optimization problems are considered. These give rise to three different cost functionals that apparently have not been exploited in literature. The shape derivatives of the cost functionals are explicitly determined. The gradient information is combined with the boundary variation method in a preconditioned steepest descent algorithm to solve the shape optimization problems. Numerical results that compare the performance of the proposed cost functionals are presented.
机译:考虑了作为形状优化问题的自由表面问题的三种不同形式。这些产生了三种不同的成本功能,这些功能显然在文献中没有被利用。明确确定成本函数的形状导数。在预处理的最速下降算法中将梯度信息与边界变化方法结合起来,以解决形状优化问题。数值结果比较了所提出的成本函数的性能。

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