Topology optimization of microstructures with perturbation analysis and penalty methods

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

  • Bin Li
  • Xiaoying Zhuang
  • Xiaolong Fu
  • Timon Rabczuk

Organisationseinheiten

Externe Organisationen

  • Tongji University
  • Xi'an Modern Chemistry Research Institute
  • Bauhaus-Universität Weimar
  • Karlsruher Institut für Technologie (KIT)
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Aufsatznummer178
FachzeitschriftStructural and Multidisciplinary Optimization
Jahrgang66
Ausgabenummer8
Frühes Online-Datum18 Juli 2023
PublikationsstatusVeröffentlicht - Aug. 2023

Abstract

Topology optimization at the continuum nano/microscale is of wide interest in designing and developing more efficient micro/nano electromechanical systems. This paper presents a new methodology for topology optimization of microstructures that is based on perturbation analysis and the penalty methods. The homogenized material coefficients are numerically computed based on perturbation analysis, and periodic boundary conditions are imposed by the penalty methods. The sensitivity analysis is implemented directly without the adjoint method. The extension of the proposed method to the design of components for multi-field analysis is straightforward. The capability and performance of the presented methodology are demonstrated through several numerical examples.

ASJC Scopus Sachgebiete

Zitieren

Topology optimization of microstructures with perturbation analysis and penalty methods. / Li, Bin; Zhuang, Xiaoying; Fu, Xiaolong et al.
in: Structural and Multidisciplinary Optimization, Jahrgang 66, Nr. 8, 178, 08.2023.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Li B, Zhuang X, Fu X, Rabczuk T. Topology optimization of microstructures with perturbation analysis and penalty methods. Structural and Multidisciplinary Optimization. 2023 Aug;66(8):178. Epub 2023 Jul 18. doi: 10.1007/s00158-023-03612-x
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AU - Li, Bin

AU - Zhuang, Xiaoying

AU - Fu, Xiaolong

AU - Rabczuk, Timon

N1 - Funding Information: The authors acknowledge the support from ERC Starting Grant (802205) and China Scholarship Council (CSC) (No.202006260243).

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