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Improvement of numerical instabilities in topology optimization using the SLP method

dc.contributor.authorFujii, D.en_US
dc.contributor.authorKikuchi, Noboruen_US
dc.date.accessioned2006-09-08T19:45:34Z
dc.date.available2006-09-08T19:45:34Z
dc.date.issued2000-04en_US
dc.identifier.citationFujii, D.; Kikuchi, N.; (2000). "Improvement of numerical instabilities in topology optimization using the SLP method." Structural and Multidisciplinary Optimization 19(2): 113-121. <http://hdl.handle.net/2027.42/41901>en_US
dc.identifier.issn1615-147Xen_US
dc.identifier.urihttps://hdl.handle.net/2027.42/41901
dc.description.abstractIn this paper, we present a method for preventing numerical instabilities such as checkerboards, mesh-dependencies and local minima occurring in the topology optimization which is formulated by the homogenization design method and in which the SLP method is used as optimizer. In the present method, a function based on the concept of gravity (which we named “the gravity control function”) is added to the objective function. The density distribution of the topology is concentrated by maximizing this function, and as a result, checkerboards and intermediate densities are eliminated. Some techniques are introduced in the optimization procedure for preventing the local minima. The validity of the present method is demonstrated by numerical examples of both the short cantilever beam and the MBB beam.en_US
dc.format.extent675614 bytes
dc.format.extent3115 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherSpringer-Verlag; Springer-Verlag Berlin Heidelbergen_US
dc.subject.otherLegacyen_US
dc.subject.otherKey Words: Homogenization Method, Topology Optimization, Numerical Instabilities, Sequential Linear Programming Method, Two-dimensional Structure, Finite Element Methoden_US
dc.titleImprovement of numerical instabilities in topology optimization using the SLP methoden_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelCivil and Environmental Engineeringen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Mechanical Engineering and Applied Mechanics, University of Michigan, Ann Arbor, Michigan 48109–2125, USA¶e-mail: dfujii@nasl.t.u-tokyo.ac.jp, US,en_US
dc.contributor.affiliationumDepartment of Mechanical Engineering and Applied Mechanics, University of Michigan, Ann Arbor, Michigan 48109–2125, USA¶e-mail: dfujii@nasl.t.u-tokyo.ac.jp, US,en_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/41901/1/158-19-2-113_00190113.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1007/s001580050091en_US
dc.identifier.sourceStructural and Multidisciplinary Optimizationen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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