Lassila, T. (2008) Optimal damping of a membrane and topological shape optimization. Structural and Multidisciplinary Optimization, 38 (1). 43 - 52. ISSN 1615-147X
Abstract
We consider a shape optimization problem of finding the optimal damping set of a two-dimensional membrane such that the energy of the membrane is minimized at some fixed end time. Traditional shape optimization is based on sensitivities of the cost functional with respect to small boundary variations of the shapes. We use an iterative shape optimization scheme based on level set methods and the gradient descent algorithm to solve the problem and present numerical results. The methods presented allow for certain topological changes in the optimized shapes. These changes can be realized in the presence of a force term in the level set equation. It is also observed that the gradient descent algorithm on the manifold of shapes does not require an exact line search to converge and that it is sufficient to perform heuristic line searches that do not evaluate the cost functional being minimized. © 2008 Springer-Verlag.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2008 Springer. This is an author produced version of a paper subsequently published in Structural and Multidisciplinary Optimization. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Level set methods; Membrane; Optimal damping; Shape optimization; Wave equation |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 20 Nov 2014 10:32 |
Last Modified: | 27 Mar 2018 16:38 |
Published Version: | http://dx.doi.org/10.1007/s00158-008-0264-1 |
Status: | Published |
Publisher: | Springer |
Refereed: | No |
Identification Number: | 10.1007/s00158-008-0264-1 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:81806 |