Eleftheriadis, S;
Dunant, CF;
Drewniok, MP;
Rogers-Tizard, W;
(2017)
A computational paradigm for the optimisation of steel building structures based on cost and carbon indexes in early design stages.
In:
Proceedings of the 24th International Workshop on Intelligent Computing in Engineering.
(pp. pp. 64-73).
The University of Nottingham, UK: Nottingham, UK.
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Abstract
The study explores a practical engineering paradigm that aims to augment the cost and carbon analysis of steel building structures. Cost and carbon functions were developed specifically for this purpose including raw material, fabrication, design, fire protection, and erection components. A customised computational model for the analysis of structural alternatives is investigated. The proposed model is tested in an actual building case where several benchmark designs are computed. The outputs from the model are compared with a small number of actual design alternatives which were developed by engineering practitioners. The proposed method can significantly increase the understanding of the design space's boundaries whilst the computed solutions have exhibited enhanced cost and carbon performance compared to actual designs.
Type: | Proceedings paper |
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Title: | A computational paradigm for the optimisation of steel building structures based on cost and carbon indexes in early design stages |
Event: | 24th International Workshop on Intelligent Computing in Engineering - 2017 |
Open access status: | An open access version is available from UCL Discovery |
Publisher version: | https://www.nottingham.ac.uk/conference/fac-eng/eg... |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
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 > Bartlett School Env, Energy and Resources |
URI: | https://discovery.ucl.ac.uk/id/eprint/1570392 |
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