形状优化框架中求解平稳自由边界问题的新耦合复边界法

IF 1 4区 数学 Q1 MATHEMATICS
J. F. Rabago
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引用次数: 4

摘要

本文揭示了所谓的耦合复杂边界方法的一种新应用——由Cheng等人(2014)首先提出,用于处理逆源问题——在求解外部伯努利问题的形状优化框架中,这是一个固定自由边界问题的原型模型。该方法的思想是将超定问题转化为自由边界上耦合Dirichlet和Neumann边界条件的复杂Robin边界条件的复杂边值问题。然后,在整个域上对由解的虚部构造的代价函数进行优化,以确定自由边界。我们还证明了复态在定义域上的形状导数的存在性。然后,我们计算了代价函数的形状梯度,并在最优域上对代价函数进行了强正则性假设和弱正则性假设下的形状Hessian表征。然后,我们通过证明后者的表达式是紧致的,证明了所提出的形状问题的病态性。此外,我们还设计了一种基于Sobolev梯度格式的迭代算法,通过有限元法求解最小化问题。最后,我们通过几个二维和三维空间的数值例子来说明该方法的适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the new coupled complex boundary method in shape optimization framework for solving stationary free boundary problems
We expose here a novel application of the so-called coupled complex boundary method – first put forward by Cheng et al. (2014) to deal with inverse source problems – in the framework of shape optimization for solving the exterior Bernoulli problem, a prototypical model of stationary free boundary problems. The idea of the method is to transform the overdetermined problem to a complex boundary value problem with a complex Robin boundary condition coupling the Dirichlet and Neumann boundary conditions on the free boundary. Then, we optimize the cost function constructed by the imaginary part of the solution in the whole domain in order to identify the free boundary. We also prove the existence of the shape derivative of the complex state with respect to the domain. Afterwards, we compute the shape gradient of the cost functional, and characterize its shape Hessian at the optimal domain under a strong, and then a mild regularity assumption on the domain. We then prove the ill-posedness of the proposed shape problem by showing that the latter expression is compact. Also, we devise an iterative algorithm based on a Sobolev gradient scheme via finite element method to solve the minimization problem. Finally, we illustrate the applicability of the method through several numerical examples, both in two and three spatial dimensions.
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来源期刊
Mathematical Control and Related Fields
Mathematical Control and Related Fields MATHEMATICS, APPLIED-MATHEMATICS
CiteScore
2.50
自引率
8.30%
发文量
67
期刊介绍: MCRF aims to publish original research as well as expository papers on mathematical control theory and related fields. The goal is to provide a complete and reliable source of mathematical methods and results in this field. The journal will also accept papers from some related fields such as differential equations, functional analysis, probability theory and stochastic analysis, inverse problems, optimization, numerical computation, mathematical finance, information theory, game theory, system theory, etc., provided that they have some intrinsic connections with control theory.
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