Comparison of Semidefinite Solvers for Topology Optimization of Cantilever Trusses Subject to Fundamental Eigenvalue Constraint

Optimal design of trusses is a widely developed field of structural optimization. In topology optimization the infinite design space is usually discretized into a finite ground structure defining the set of all feasible joints and bars. In this paper we adopt semidefinite programming (SDP) formulati...

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Bibliographic Details
Published inAdvanced Materials Research Vol. 1144; pp. 172 - 177
Main Authors Tyburec, Marek, Zeman, Jan
Format Journal Article
LanguageEnglish
Published Zurich Trans Tech Publications Ltd 07.03.2017
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Summary:Optimal design of trusses is a widely developed field of structural optimization. In topology optimization the infinite design space is usually discretized into a finite ground structure defining the set of all feasible joints and bars. In this paper we adopt semidefinite programming (SDP) formulation of the topology optimization that enables us to obtain a globally optimal least compliant truss subjected to the constraints on structural volume and on the fundamental eigenvalue of free vibrations. For a model problem of 3D cantilever truss, we present a comparison of six solvers, namely CSDP, MOSEK, PENLAB, SDPA, SDPT3 and SeDuMi, from which it follows, that SDPA delivers the best computational performance.
Bibliography:Selected, peer reviewed papers from the 7th International Conference on Nano & Macro Mechanics 2016 (NMM 2016), September 22, 2016, Prague, Czech Republic
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ISBN:3035710929
9783035710922
ISSN:1022-6680
1662-8985
1662-8985
DOI:10.4028/www.scientific.net/AMR.1144.172