Hierarchical remeshing strategies with mesh mapping for topology optimisation
This work investigates the use of hierarchical mesh decomposition strategies for topology optimisation using bi-directional evolutionary structural optimisation algorithm. The proposed method uses a dual mesh system that decouples the design variables from the finite element analysis mesh. The inves...
| Main Authors: | , , , , |
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| Format: | Article |
| Published: |
Wiley
2017
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| Online Access: | https://eprints.nottingham.ac.uk/40456/ |
| _version_ | 1848796061436477440 |
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| author | Panesar, Ajit Brackett, David Ashcroft, Ian Wildman, Ricky D. Hague, Richard |
| author_facet | Panesar, Ajit Brackett, David Ashcroft, Ian Wildman, Ricky D. Hague, Richard |
| author_sort | Panesar, Ajit |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | This work investigates the use of hierarchical mesh decomposition strategies for topology optimisation using bi-directional evolutionary structural optimisation algorithm. The proposed method uses a dual mesh system that decouples the design variables from the finite element analysis mesh. The investigation focuses on previously unexplored areas of these techniques to investigate the effect of five meshing parameters on the analysis solving time (i.e. computational effort) and the analysis quality (i.e. solution optimality). The foreground mesh parameters, including adjacency ratio and minimum and maximum element size, were varied independently across solid and void domain regions. Within the topology optimisation, strategies for controlling the mesh parameters were investigated. The differing effects of these parameters on the efficiency and efficacy of the analysis and optimisation stages are discussed, and recommendations are made for parameter combinations. Some of the key findings were that increasing the adjacency ratio increased the efficiency only modestly – the largest effect was for the minimum and maximum element size parameters – and that the most dramatic reduction in solve time can be achieved by not setting the minimum element size too low, assuming mapping onto a background mesh with a minimum element size of 1. |
| first_indexed | 2025-11-14T19:42:00Z |
| format | Article |
| id | nottingham-40456 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:42:00Z |
| publishDate | 2017 |
| publisher | Wiley |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-404562020-05-04T18:35:50Z https://eprints.nottingham.ac.uk/40456/ Hierarchical remeshing strategies with mesh mapping for topology optimisation Panesar, Ajit Brackett, David Ashcroft, Ian Wildman, Ricky D. Hague, Richard This work investigates the use of hierarchical mesh decomposition strategies for topology optimisation using bi-directional evolutionary structural optimisation algorithm. The proposed method uses a dual mesh system that decouples the design variables from the finite element analysis mesh. The investigation focuses on previously unexplored areas of these techniques to investigate the effect of five meshing parameters on the analysis solving time (i.e. computational effort) and the analysis quality (i.e. solution optimality). The foreground mesh parameters, including adjacency ratio and minimum and maximum element size, were varied independently across solid and void domain regions. Within the topology optimisation, strategies for controlling the mesh parameters were investigated. The differing effects of these parameters on the efficiency and efficacy of the analysis and optimisation stages are discussed, and recommendations are made for parameter combinations. Some of the key findings were that increasing the adjacency ratio increased the efficiency only modestly – the largest effect was for the minimum and maximum element size parameters – and that the most dramatic reduction in solve time can be achieved by not setting the minimum element size too low, assuming mapping onto a background mesh with a minimum element size of 1. Wiley 2017-02-07 Article PeerReviewed Panesar, Ajit, Brackett, David, Ashcroft, Ian, Wildman, Ricky D. and Hague, Richard (2017) Hierarchical remeshing strategies with mesh mapping for topology optimisation. International Journal for Numerical Methods in Engineering . ISSN 1097-0207 http://onlinelibrary.wiley.com/doi/10.1002/nme.5488/abstract doi:10.1002/nme.5488 doi:10.1002/nme.5488 |
| spellingShingle | Panesar, Ajit Brackett, David Ashcroft, Ian Wildman, Ricky D. Hague, Richard Hierarchical remeshing strategies with mesh mapping for topology optimisation |
| title | Hierarchical remeshing strategies with mesh mapping for topology optimisation |
| title_full | Hierarchical remeshing strategies with mesh mapping for topology optimisation |
| title_fullStr | Hierarchical remeshing strategies with mesh mapping for topology optimisation |
| title_full_unstemmed | Hierarchical remeshing strategies with mesh mapping for topology optimisation |
| title_short | Hierarchical remeshing strategies with mesh mapping for topology optimisation |
| title_sort | hierarchical remeshing strategies with mesh mapping for topology optimisation |
| url | https://eprints.nottingham.ac.uk/40456/ https://eprints.nottingham.ac.uk/40456/ https://eprints.nottingham.ac.uk/40456/ |