Applications of artificial intelligence in the AEC industry: a review and future outlook
In the context of “Industry 4.0,” the construction industry is undergoing a continuous process of digital transformation. In recent years, with the rapid development of artificial intelligence (AI) technology, AI has been successfully applied across various domains within the construction sector. Th...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
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Taylor & Francis Group
2024-04-01
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Series: | Journal of Asian Architecture and Building Engineering |
Subjects: | |
Online Access: | http://dx.doi.org/10.1080/13467581.2024.2343800 |
_version_ | 1797198509906067456 |
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author | Huimin Li Yafei Zhang Yongchao Cao Jing Zhao Zhichao Zhao |
author_facet | Huimin Li Yafei Zhang Yongchao Cao Jing Zhao Zhichao Zhao |
author_sort | Huimin Li |
collection | DOAJ |
description | In the context of “Industry 4.0,” the construction industry is undergoing a continuous process of digital transformation. In recent years, with the rapid development of artificial intelligence (AI) technology, AI has been successfully applied across various domains within the construction sector. This paper conducts a comprehensive review based on scientific bibliometric analysis and systematic evaluation to provide an overview of AI applications and developments in the architecture, engineering, and construction (AEC) industry, as well as to discuss future research trends. Firstly, a bibliometric analysis was carried out on 3,410 journal articles published between 2003 and 2022. This analysis examined characteristics such as annual publication trends, key researchers and their affiliations, countries of origin, collaborative relationships, prominent journals, and keyword clustering. Subsequently, through systematic review, three critical themes in the field were identified and analyzed: performance prediction, intelligent optimization, and engineering safety and risk. To gain a deeper understanding of cutting-edge AI technologies and their potential applications in the AEC sector, potential future research directions were discussed, including digital twins, blockchain, augmented reality, and virtual reality, all aimed at driving the intelligent and digital transformation of the AEC industry. |
first_indexed | 2024-04-24T07:01:00Z |
format | Article |
id | doaj.art-64f1e458a99b488191f8ab46eb0bb8d4 |
institution | Directory Open Access Journal |
issn | 1347-2852 |
language | English |
last_indexed | 2024-04-24T07:01:00Z |
publishDate | 2024-04-01 |
publisher | Taylor & Francis Group |
record_format | Article |
series | Journal of Asian Architecture and Building Engineering |
spelling | doaj.art-64f1e458a99b488191f8ab46eb0bb8d42024-04-22T08:52:27ZengTaylor & Francis GroupJournal of Asian Architecture and Building Engineering1347-28522024-04-010011710.1080/13467581.2024.23438002343800Applications of artificial intelligence in the AEC industry: a review and future outlookHuimin Li0Yafei Zhang1Yongchao Cao2Jing Zhao3Zhichao Zhao4North China University of Water Resources and Electric PowerNorth China University of Water Resources and Electric PowerNorth China University of Water Resources and Electric PowerNorth China University of Water Resources and Electric PowerNorth China University of Water Resources and Electric PowerIn the context of “Industry 4.0,” the construction industry is undergoing a continuous process of digital transformation. In recent years, with the rapid development of artificial intelligence (AI) technology, AI has been successfully applied across various domains within the construction sector. This paper conducts a comprehensive review based on scientific bibliometric analysis and systematic evaluation to provide an overview of AI applications and developments in the architecture, engineering, and construction (AEC) industry, as well as to discuss future research trends. Firstly, a bibliometric analysis was carried out on 3,410 journal articles published between 2003 and 2022. This analysis examined characteristics such as annual publication trends, key researchers and their affiliations, countries of origin, collaborative relationships, prominent journals, and keyword clustering. Subsequently, through systematic review, three critical themes in the field were identified and analyzed: performance prediction, intelligent optimization, and engineering safety and risk. To gain a deeper understanding of cutting-edge AI technologies and their potential applications in the AEC sector, potential future research directions were discussed, including digital twins, blockchain, augmented reality, and virtual reality, all aimed at driving the intelligent and digital transformation of the AEC industry.http://dx.doi.org/10.1080/13467581.2024.2343800artificial intelligenceaecscientometric analysissystematic review |
spellingShingle | Huimin Li Yafei Zhang Yongchao Cao Jing Zhao Zhichao Zhao Applications of artificial intelligence in the AEC industry: a review and future outlook Journal of Asian Architecture and Building Engineering artificial intelligence aec scientometric analysis systematic review |
title | Applications of artificial intelligence in the AEC industry: a review and future outlook |
title_full | Applications of artificial intelligence in the AEC industry: a review and future outlook |
title_fullStr | Applications of artificial intelligence in the AEC industry: a review and future outlook |
title_full_unstemmed | Applications of artificial intelligence in the AEC industry: a review and future outlook |
title_short | Applications of artificial intelligence in the AEC industry: a review and future outlook |
title_sort | applications of artificial intelligence in the aec industry a review and future outlook |
topic | artificial intelligence aec scientometric analysis systematic review |
url | http://dx.doi.org/10.1080/13467581.2024.2343800 |
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