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Multiobjective shape optimization of selected coupled problems by means of evolutionary algorithms

  • Silesian University of Technology
  • Cracow University of Technology

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)

Abstract

In present paper an improved multi-objective evolutionary algorithm is used for Pareto optimization of selected coupled problems. Coupling of mechanical, electrical and thermal fields is considered. Boundary-value problems of the thermo-elasticity, piezoelectricity and electro-thermo-elasticity are solved by means of finite element method (FEM). Ansys Multiphysics and MSC.Mentat/Marc software are used to solve considered coupled problems. Suitable interfaces between optimization tool and the FEM software are created. Different types of functionals are formulated on the basis of results obtained from the coupled field analysis. Functionals depending on the area or volume of the structure are also proposed. Parametric curves NURBS are used to model some optimized structures. Numerical examples for exemplary three-objective optimization are presented in the paper.

Original languageEnglish
Pages (from-to)215-222
Number of pages8
JournalBulletin of the Polish Academy of Sciences: Technical Sciences
Volume60
Issue number2
DOIs
Publication statusPublished - 2012

Keywords

  • Coupled field problems
  • Evolutionary algorithms
  • Finite element method
  • Multiobjective optimization
  • Multiphysics

ASJC Scopus subject areas

  • Information Systems
  • Atomic and Molecular Physics, and Optics
  • General Engineering
  • Computer Networks and Communications
  • Artificial Intelligence

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