Adaptive path-following primal dual interior point methods for shape optimization of linear and nonlinear Stokes flow problems

We are concerned with structural optimization problems in CFD where the state variables are supposed to satisfy a linear or nonlinear Stokes system and the design variables are subject to bilateral pointwise constraints. Within a primal-dual setting, we suggest an all-at-once approach based on interior-point methods. The discretization is taken care of by Taylor-Hood elements with respect to a simplicial triangulation of the computational domain. The efficient numerical solution of the discretized problem relies on adaptive path-following techniques featuring a predictor-corrector scheme with inexact Newton solves of the KKT system by means of an iterative null-space approach. The performance of the suggested method is documented by several illustrative numerical examples.

Metadaten
Author:	Ronald H. W. Hoppe ORCiD GND, Christopher Linsenmann, Harbir Antil GND
URN:	urn:nbn:de:bvb:384-opus4-4373
Frontdoor URL	https://opus.bibliothek.uni-augsburg.de/opus4/543
Series (Serial Number):	Preprints des Instituts für Mathematik der Universität Augsburg (2007-18)
Type:	Preprint
Language:	English
Publishing Institution:	Universität Augsburg
Contributing Corporation:	Department of Mathematics, University of Houston
Release Date:	2007/07/02
Tag:	shape optimization; Stokes flow; interior point methods; adaptive path following
GND-Keyword:	Deterministische Optimierung; Innere-Punkte-Methode; Gestaltoptimierung; Numerische Strömungssimulation
Institutes:	Mathematisch-Naturwissenschaftlich-Technische Fakultät
	Mathematisch-Naturwissenschaftlich-Technische Fakultät / Institut für Mathematik
	Mathematisch-Naturwissenschaftlich-Technische Fakultät / Institut für Mathematik / Lehrstuhl für Numerische Mathematik
Dewey Decimal Classification:	5 Naturwissenschaften und Mathematik / 51 Mathematik / 510 Mathematik

Open Access