Jiang, S;
Wang, M;
Ma, L;
(2023)
Gaps and requirements for applying automatic architectural design to building renovation.
Automation in Construction
, 147
, Article 104742. 10.1016/j.autcon.2023.104742.
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Abstract
The renovation of existing buildings provides an opportunity to change the layout to meet the needs of facilities and accomplish sustainability in the built environment at high utilisation rates and low cost. However, building renovation design is complex, and completing architectural design schemes manually needs more efficiency and overall robustness. With the use of computational optimisation, automatic architectural design (AAD) can efficiently assist in building renovation through decision-making based on performance evaluation. This paper comprehensively analyses AAD's current research status and provides a state-of-the-art overview of applying AAD technology to building renovation. Besides, gaps and requirements of using AAD for building renovation are explored from quantitative and qualitative aspects, providing ideas for future research. The research shows that there is still much work to be done to apply AAD to building renovation, including quickly obtaining input data, expanding optimisation topics, selecting design methods, and improving workflow and efficiency.
Type: | Article |
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Title: | Gaps and requirements for applying automatic architectural design to building renovation |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1016/j.autcon.2023.104742 |
Publisher version: | https://doi.org/10.1016/j.autcon.2023.104742 |
Language: | English |
Additional information: | © 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
Keywords: | Computational optimisation, Automatic architectural design, Building renovation |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment |
URI: | https://discovery.ucl.ac.uk/id/eprint/10163643 |
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