The topological state derivative: an optimal control perspective on topology optimisation
Phillip Baumann, Idriss Mazari-Fouquer, Kevin Sturm

TL;DR
This paper introduces the topological state derivative, linking topological changes in PDE-based systems to optimal control theory, enabling advanced shape and topology optimization with broader dilatation types.
Contribution
It develops a general framework for topological state derivatives applicable to various PDEs and dilatations, connecting classical topological derivatives with optimal control methods.
Findings
Topological state derivatives can be derived via regularity estimates or asymptotic expansions.
The approach covers dilatations of shapes, curves, surfaces, and hypersurfaces.
Usual topological derivatives can be computed using the topological state derivative.
Abstract
In this paper we introduce the topological state derivative for general topological dilatations and explore its relation to standard optimal control theory. We show that for a class of partial differential equations, the shape dependent state variable can be differentiated with respect to the topology, thus leading to a linearised system resembling those occurring in standard optimal control problems. However, a lot of care has to be taken when handling the regularity of the solutions of this linearised system. In fact, we should expect different notions of (very) weak solutions, depending on whether the main part of the operator or its lower order terms are being perturbed. We also study the relationship with the topological state derivative, usually obtained through classical topological expansions involving boundary layer correctors. A feature of the topological state derivative is…
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Taxonomy
TopicsAdvanced Mathematical Modeling in Engineering · Advanced Numerical Methods in Computational Mathematics
