AI Application in Architecture in UAE: Optimization of Parametric Structure as a Retrofit Strategy of a Mid-rise Residential Building in Downtown Abu Dhabi

Anwar Ahmad, Lindita Bande

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Artificial intelligence is a phenomenon that influences every aspect of our life. AI applications already started to change the methods in different disciplines. Architecture is one of the disciplines that is highly affected by the developments of AI technologies. With the UAE heading to employ the new technology to lead the country and region development, it is important to explore and develop the application of AI in the strategic disciplines at the country in which the built environment is essential. This study aims to explore and develop the application of AI in UAE architecture by developing an intelligent system that can generate an optimum parametric structure as a retrofit strategy of a mid-rise residential building in downtown Abu Dhabi. A mixed qualitative, quantitative, and experimental method will be applied on the different stages of this study, The study is divided into four stages: starts with exploring AI progress in architecture, then AI Application in Architecture in UAE at this stage the system will develop, Grasshopper software will be used to develop the system, after that Building stock analysis to get the parameters, and finally apply the system on 3 chosen case study. The results for the first two stages came out and the other tow stages are still in progress. However we get primary results for the later mentioned.

Original languageEnglish
Title of host publicationHCI International 2022 – Late Breaking Papers
Subtitle of host publicationHCI for Today’s Community and Economy - 24th International Conference on Human-Computer Interaction, HCII 2022, Proceedings
EditorsMatthias Rauterberg, Fiona Fui-Hoon Nah, Keng Siau, Heidi Krömker, June Wei, Gavriel Salvendy
PublisherSpringer Science and Business Media Deutschland GmbH
Pages301-313
Number of pages13
ISBN (Print)9783031181573
DOIs
Publication statusPublished - 2022
Event24th International Conference on Human-Computer Interaction, HCII 2022 - Virtual, Online
Duration: Jun 26 2022Jul 1 2022

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13520 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference24th International Conference on Human-Computer Interaction, HCII 2022
CityVirtual, Online
Period6/26/227/1/22

Keywords

  • Artificial intelligence
  • Building retrofitting
  • Parametric architecture

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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