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Approaches to accommodate remeshing in shape optimization

Thesis (PhD)--University of Pretoria, 2010.

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Other Authors: Groenwold, Albert A.
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Published: University of Pretoria 2013
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access_status_str Open Access
author2 Groenwold, Albert A.
author_browse Groenwold, Albert A.
author_facet Groenwold, Albert A.
collection Thesis
dc_rights_str_mv © 2010 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
description Thesis (PhD)--University of Pretoria, 2010.
format Thesis
id oai:repository.up.ac.za:2263/24270
institution University of Pretoria (South Africa)
last_indexed 2026-06-10T12:40:42.021Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2013
publishDateRange 2013
publishDateSort 2013
publisher University of Pretoria
publisherStr University of Pretoria
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source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/24270 Approaches to accommodate remeshing in shape optimization Groenwold, Albert A. Kok, Schalk nico.wilke@up.ac.za Wilke, Daniel Nicolas Analytical sensitivity analysis Consistent tangent Local minima Step discontinuity Partial differential equation Non-constant discretization Error indicator R-refinement Radial basis function Variable discretization Truss analogy Unstructured remeshing Shape optimization Gradient-only optimization UCTD Thesis (PhD)--University of Pretoria, 2010. This study proposes novel optimization methodologies for the optimization of problems that reveal non-physical step discontinuities. More specifically, it is proposed to use gradient-only techniques that do not use any zeroth order information at all for step discontinuous problems. A step discontinuous problem of note is the shape optimization problem in the presence of remeshing strategies, since changes in mesh topologies may - and normally do - introduce non-physical step discontinuities. These discontinuities may in turn manifest themselves as non-physical local minima in which optimization algorithms may become trapped. Conventional optimization approaches for step discontinuous problems include evolutionary strategies, and design of experiment (DoE) techniques. These conventional approaches typically rely on the exclusive use of zeroth order information to overcome the discontinuities, but are characterized by two important shortcomings: Firstly, the computational demands of zero order methods may be very high, since many function values are in general required. Secondly, the use of zero order information only does not necessarily guarantee that the algorithms will not terminate in highly unfit local minima. In contrast, the methodologies proposed herein use only first order information, rather than only zeroth order information. The motivation for this approach is that associated gradient information in the presence of remeshing remains accurately and uniquely computable, notwithstanding the presence of discontinuities. From a computational effort point of view, a gradient-only approach is of course comparable to conventional gradient based techniques. In addition, the step discontinuities do not manifest themselves as local minima. Mechanical and Aeronautical Engineering unrestricted 2013-09-06T17:00:55Z 2011-05-25 2013-09-06T17:00:55Z 2011-04-06 2010 2011-01-20 Thesis Wilke, DN 2010, Approaches to accommodate remeshing in shape optimization , PhD thesis, University of Pretoria, Pretoria, viewed yymmdd < http://hdl.handle.net/2263/24270 > B11/46/ag http://hdl.handle.net/2263/24270 http://upetd.up.ac.za/thesis/available/etd-01202011-134535/ © 2010 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria
spellingShingle Analytical sensitivity analysis
Consistent tangent
Local minima
Step discontinuity
Partial differential equation
Non-constant discretization
Error indicator
R-refinement
Radial basis function
Variable discretization
Truss analogy
Unstructured remeshing
Shape optimization
Gradient-only optimization
UCTD
Approaches to accommodate remeshing in shape optimization
title Approaches to accommodate remeshing in shape optimization
title_full Approaches to accommodate remeshing in shape optimization
title_fullStr Approaches to accommodate remeshing in shape optimization
title_full_unstemmed Approaches to accommodate remeshing in shape optimization
title_short Approaches to accommodate remeshing in shape optimization
title_sort approaches to accommodate remeshing in shape optimization
topic Analytical sensitivity analysis
Consistent tangent
Local minima
Step discontinuity
Partial differential equation
Non-constant discretization
Error indicator
R-refinement
Radial basis function
Variable discretization
Truss analogy
Unstructured remeshing
Shape optimization
Gradient-only optimization
UCTD
url http://hdl.handle.net/2263/24270
http://upetd.up.ac.za/thesis/available/etd-01202011-134535/