Evolutionary topology optimization using the extended finite element method and isolines

This study presents a new algorithm for structural topological optimization of two-dimensional continuum structures by combining the extended finite element method (X-FEM) with an evolutionary optimization algorithm. Taking advantage of an isoline design approach for boundary representation in a fix...

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Main Authors: Abdi, Meisam, Wildman, Ricky, Ashcroft, Ian
Format: Article
Published: Taylor & Francis 2014
Subjects:
Online Access:https://eprints.nottingham.ac.uk/47202/
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author Abdi, Meisam
Wildman, Ricky
Ashcroft, Ian
author_facet Abdi, Meisam
Wildman, Ricky
Ashcroft, Ian
author_sort Abdi, Meisam
building Nottingham Research Data Repository
collection Online Access
description This study presents a new algorithm for structural topological optimization of two-dimensional continuum structures by combining the extended finite element method (X-FEM) with an evolutionary optimization algorithm. Taking advantage of an isoline design approach for boundary representation in a fixed grid domain, X-FEM can be implemented to improve the accuracy of finite element solutions on the boundary during the optimization process. Although this approach does not use any remeshing or moving mesh algorithms, final topologies have smooth and clearly defined boundaries which need no further interpretation. Numerical comparisons of the converged solutions with standard bi-directional evolutionary structural optimization solutions show the efficiency of the proposed method, and comparison with the converged solutions using MSC NASTRAN confirms the high accuracy of this method.
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spelling nottingham-472022020-05-04T20:16:00Z https://eprints.nottingham.ac.uk/47202/ Evolutionary topology optimization using the extended finite element method and isolines Abdi, Meisam Wildman, Ricky Ashcroft, Ian This study presents a new algorithm for structural topological optimization of two-dimensional continuum structures by combining the extended finite element method (X-FEM) with an evolutionary optimization algorithm. Taking advantage of an isoline design approach for boundary representation in a fixed grid domain, X-FEM can be implemented to improve the accuracy of finite element solutions on the boundary during the optimization process. Although this approach does not use any remeshing or moving mesh algorithms, final topologies have smooth and clearly defined boundaries which need no further interpretation. Numerical comparisons of the converged solutions with standard bi-directional evolutionary structural optimization solutions show the efficiency of the proposed method, and comparison with the converged solutions using MSC NASTRAN confirms the high accuracy of this method. Taylor & Francis 2014 Article PeerReviewed Abdi, Meisam, Wildman, Ricky and Ashcroft, Ian (2014) Evolutionary topology optimization using the extended finite element method and isolines. Engineering Optimization, 46 (5). pp. 628-647. ISSN 1029-0273 structural optimization topology optimization X-FEM fixed grid evolutionary algorithm http://www.tandfonline.com/doi/abs/10.1080/0305215X.2013.791815 doi:10.1080/0305215X.2013.791815 doi:10.1080/0305215X.2013.791815
spellingShingle structural optimization
topology optimization
X-FEM
fixed grid
evolutionary algorithm
Abdi, Meisam
Wildman, Ricky
Ashcroft, Ian
Evolutionary topology optimization using the extended finite element method and isolines
title Evolutionary topology optimization using the extended finite element method and isolines
title_full Evolutionary topology optimization using the extended finite element method and isolines
title_fullStr Evolutionary topology optimization using the extended finite element method and isolines
title_full_unstemmed Evolutionary topology optimization using the extended finite element method and isolines
title_short Evolutionary topology optimization using the extended finite element method and isolines
title_sort evolutionary topology optimization using the extended finite element method and isolines
topic structural optimization
topology optimization
X-FEM
fixed grid
evolutionary algorithm
url https://eprints.nottingham.ac.uk/47202/
https://eprints.nottingham.ac.uk/47202/
https://eprints.nottingham.ac.uk/47202/