Hanna, S;
Zhuang, X;
(2020)
Space Frame Optimisation with Spectral Clustering.
International Journal of Machine Learning and Computing
, 10
(4)
pp. 507-512.
10.18178/ijmlc.2020.10.4.965.
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Abstract
This paper borrows the concept of spectral clustering in the computer vision field, proposes an alternative approach to optimise space frame structure. Spectral clustering was implemented to segment the whole structure into two subclusters. Then genetic algorithm was used to optimise member sizes of each subcluster separately. It is hypothesized that optimizing the structural stability for subassemblies will largely reduce the search space, which allows greater computational efficiency. The program has been developed in MATLAB and tested on differently shaped space frame structure under varied loading conditions. Results show that for a heterogeneous structure with high a level of complexity, the implementation of spectral clustering can separate the enormous search space of GA down to smaller search space, leading to faster convergence with increased the computational efficiency, while providing an equivalent or better optimisation solution.
| Type: | Article |
|---|---|
| Title: | Space Frame Optimisation with Spectral Clustering |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.18178/ijmlc.2020.10.4.965 |
| Publisher version: | http://www.ijmlc.org/index.php?m=content&c=index&a... |
| Language: | English |
| Additional information: | © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (https://creativecommons.org/licenses/by/4.0/). |
| Keywords: | Computational efficiency, genetic algorithm, space frame structure, spectral clustering, structural optimization |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > The Bartlett School of Architecture |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10106292 |
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