B. Ullah
Structural optimisation based on the boundary element and level set methods
Ullah, B.; Trevelyan, J.; Matthews, P.C.
Authors
Jonathan Trevelyan jon.trevelyan@durham.ac.uk
Emeritus Professor
Dr Peter Matthews p.c.matthews@durham.ac.uk
Associate Professor
Abstract
A new method of structural topology optimisation is proposed in which an evolutionary approach is used with boundary element and level set methods. During the optimisation iterations, the proposed method automatically introduces internal cavities and does not rely on an initial guess topology with pre-existing holes. The zero level set contours describing both the external geometry and the internal cavities are converted to non-uniform rational B-splines (NURBS) for smooth boundary element meshing at each iteration. The optimal geometries generated by the proposed method for two-dimensional cases closely resemble to those available in the literature for a range of benchmark examples in the field of topology optimisation.
Citation
Ullah, B., Trevelyan, J., & Matthews, P. (2014). Structural optimisation based on the boundary element and level set methods. Computers and Structures, 137, 14-30. https://doi.org/10.1016/j.compstruc.2014.01.004
Journal Article Type | Article |
---|---|
Acceptance Date | Jan 2, 2014 |
Online Publication Date | Feb 5, 2014 |
Publication Date | Jun 1, 2014 |
Deposit Date | May 15, 2014 |
Publicly Available Date | May 29, 2014 |
Journal | Computers and Structures |
Print ISSN | 0045-7949 |
Electronic ISSN | 1879-2243 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 137 |
Pages | 14-30 |
DOI | https://doi.org/10.1016/j.compstruc.2014.01.004 |
Keywords | Structural optimisation, Boundary element method, Level set method, NURBS. |
Public URL | https://durham-repository.worktribe.com/output/1433523 |
Files
Accepted Journal Article
(919 Kb)
PDF
Copyright Statement
NOTICE: this is the author’s version of a work that was accepted for publication in Computers & Structures. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Computers & Structures, 137, 2014, 10.1016/j.compstruc.2014.01.004.
You might also like
Transactive Energy and Flexibility Provision in Multi-microgrids using Stackelberg Game
(2022)
Journal Article
Implementation and Analyses of Yaw Based Coordinated Control of Wind Farms
(2019)
Journal Article
Fast Processing Intelligent Wind Farm Controller for Production Maximisation
(2019)
Journal Article
Field Implementation and Trial of Coordinated Control of Wind Farms
(2017)
Journal Article
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search