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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Published in | Advanced Materials Research Vol. 1144; pp. 172 - 177 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Zurich
Trans Tech Publications Ltd
07.03.2017
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Subjects | |
Online Access | Get full text |
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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. |
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Bibliography: | Selected, peer reviewed papers from the 7th International Conference on Nano & Macro Mechanics 2016 (NMM 2016), September 22, 2016, Prague, Czech Republic ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
ISBN: | 3035710929 9783035710922 |
ISSN: | 1022-6680 1662-8985 1662-8985 |
DOI: | 10.4028/www.scientific.net/AMR.1144.172 |