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Algorithmic Aspects of Isogeometric Shape Optimization

  • Daniela FußederEmail author
  • Bernd Simeon
Conference paper
Part of the Lecture Notes in Computational Science and Engineering book series (LNCSE, volume 107)

Abstract

Shape optimization is concerned about finding optimal designs under the aspect of some cost criteria often involving the solution of a partial differential equation (PDE) over the afore said unknown shape. In general, industrial cases involve a geometric model from Computer Aided Design (CAD). However, solving PDEs requires an analysis suitable working model, typically a Finite Element (FEM) triangulation. Hence, some of the geometric properties known from the CAD model may be lost during this format change. Therefore, we employ isogeometric analysis (IGA) instead, which has a tighter connection between geometry, simulation and shape optimization. In this paper, we present a self-contained treatment of gradient based shape optimization method with isogeometric analysis, focusing on algorithmic and practical aspects like computation of shape gradients in an IGA formulation and updating B-spline and NURBS geometries.

Keywords

Shape Optimization Variable Weight Sequential Quadratic Programming Isogeometric Analysis Shape Optimization Problem 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgements

We thank Utz Wever from Siemens AG, Corporate Technology, for many helpful discussions on the subject.

This work was supported by the European Union within the Project 284981 “TERRIFIC” (7th Framework Program).

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Technische Universität KaiserslauternKaiserslauternGermany

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