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Description
  • The present paper describes the application of the particle swarm optimization (PSO) to the shape optimization of two-dimensional domains described by NURBS and analyzed by the NURBS-based Isogeometric analysis. The regularization of the optimization problem, preventing undesirable clustering of control points of the underlying geometry leading to invalid geometry or parametrization, is achieved by controlling the magnitude of perturbation of design variables within PSO using a background mesh. This mesh, however, does not have to comply with requirements on a standard (e.g. FEM) computational mesh, as it does not have to follow the exact geometry. Thus construction of such mesh (Matlab Distmesh tool is utilized) is simple and does not introduce a bottleneck to the whole process. The capabilities and performance of the developed optimization strategy will be demonstrated on a standard benchmark problem.
  • The present paper describes the application of the particle swarm optimization (PSO) to the shape optimization of two-dimensional domains described by NURBS and analyzed by the NURBS-based Isogeometric analysis. The regularization of the optimization problem, preventing undesirable clustering of control points of the underlying geometry leading to invalid geometry or parametrization, is achieved by controlling the magnitude of perturbation of design variables within PSO using a background mesh. This mesh, however, does not have to comply with requirements on a standard (e.g. FEM) computational mesh, as it does not have to follow the exact geometry. Thus construction of such mesh (Matlab Distmesh tool is utilized) is simple and does not introduce a bottleneck to the whole process. The capabilities and performance of the developed optimization strategy will be demonstrated on a standard benchmark problem. (en)
Title
  • Shape Optimization by Particle Swarm Algorithm Utilizing Isogeometric Analysis
  • Shape Optimization by Particle Swarm Algorithm Utilizing Isogeometric Analysis (en)
skos:prefLabel
  • Shape Optimization by Particle Swarm Algorithm Utilizing Isogeometric Analysis
  • Shape Optimization by Particle Swarm Algorithm Utilizing Isogeometric Analysis (en)
skos:notation
  • RIV/68407700:21110/12:00193912!RIV13-GA0-21110___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA103/09/2009), P(GAP105/12/1146)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 167691
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21110/12:00193912
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Shape Optimization; Particle Swarm Optimization; Nurbs; Isogeometric Analysis; Distmesh (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [B53961886506]
http://linked.open...v/mistoKonaniAkce
  • Svratka
http://linked.open...i/riv/mistoVydani
  • Prague
http://linked.open...i/riv/nazevZdroje
  • Engineering Mechanics 2012
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Lepš, Matěj
  • Patzák, Bořek
  • Rypl, Daniel
  • Pospíšilová, Adéla
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Ústav teoretické a aplikované mechaniky AV ČR
https://schema.org/isbn
  • 978-80-86246-40-6
http://localhost/t...ganizacniJednotka
  • 21110
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