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Multiscale evolutionary optimization of functionally graded materials

  • Silesian University of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

The paper is devoted to the multiobjective and multiscale optimization of composite structures made of Functionally Graded Materials (FGMs). The aim of the optimization is to design structures made of FGM by modifying the microstructure parameters in order to satisfy contradictory criteria on a macro scale. Numerical homogenization methods are used to perform a multiscale analysis. Finite element method is employed to solve a boundary-value problem in both scales. Computational intelligence method in form of a multiobjective evolutionary algorithm is used to perform the optimization procedure. Numerical example presenting the efficiency of the proposed attitude is attached.

Original languageEnglish
Title of host publicationAdvances in Mechanics
Subtitle of host publicationTheoretical, Computational and Interdisciplinary Issues - 3rd Polish Congress of Mechanics, PCM 2015 and 21st International Conference on Computer Methods in Mechanics, CMM 2015
EditorsMichal Kleiber, Tadeusz Burczynski, Krzysztof Wilde, Jaroslaw Gorski, Karol Winkelmann, Lukasz Smakosz
PublisherCRC Press/Balkema
Pages83-86
Number of pages4
ISBN (Print)9781138029064
DOIs
Publication statusPublished - 2016
Event3rd Polish Congress of Mechanics, PCM 2015 and 21st International Conference on Computer Methods in Mechanics, CMM 2015 - Gdansk, Poland
Duration: 8 Sept 201511 Sept 2015

Publication series

NameAdvances in Mechanics: Theoretical, Computational and Interdisciplinary Issues - 3rd Polish Congress of Mechanics, PCM 2015 and 21st International Conference on Computer Methods in Mechanics, CMM 2015

Conference

Conference3rd Polish Congress of Mechanics, PCM 2015 and 21st International Conference on Computer Methods in Mechanics, CMM 2015
Country/TerritoryPoland
CityGdansk
Period8/09/1511/09/15

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Mechanical Engineering

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