自由边界问题优化的松弛法

PAMM Pub Date : 2023-11-21 DOI:10.1002/pamm.202300034
Corinna Zurloh, René Pinnau
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引用次数: 0

摘要

我们考虑一个受自由边界问题(FBP)约束的最优控制问题(OCP)。自由边界问题有多种应用,如流体动力学、多孔介质流动或金融。在这项工作中,我们研究了一个模型 FBP,该模型由体积中的泊松方程和自由边界上考虑表面张力的 Young-Laplace 方程给出。将这一耦合系统转换到参考域可以避免处理形状导数。然而,这会导致偏微分方程系数高度非线性,从而使 OCP 难以处理。因此,我们提出了一种新的松弛方法,即引入自由边界作为新的控制变量,从而将原始问题转化为一系列更简单的无自由边界优化问题。在本文中,我们正式推导出了邻接系统,并用数值证明了原问题的解确实可以通过这种方法近似得到。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Relaxation approach for optimization of free boundary problems
We consider an optimal control problem (OCP) constrained by a free boundary problem (FBP). FBPs have various applications such as in fluid dynamics, flow in porous media or finance. For this work we study a model FBP given by a Poisson equation in the bulk and a Young‐Laplace equation accounting for surface tension on the free boundary. Transforming this coupled system to a reference domain allows to avoid dealing with shape derivatives. However, this results in highly nonlinear partial differential equation (PDE) coefficients, which makes the OCP rather difficult to handle. Therefore, we present a new relaxation approach by introducing the free boundary as a new control variable, which transforms the original problem into a sequence of simpler optimization problems without free boundary. In this paper, we formally derive the adjoint systems and show numerically that a solution of the original problem can be indeed asymptotically approximated in this way.
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