A Review of Artificial Intelligence in Enhancing Architectural Design Efficiency
Source abstract
Abstract
At present, Artificial Intelligence (AI) technology is developing rapidly, and the construction industry is facing three major trends: industrialization, greening, and digital intelligence. This paper explores the application of AI technology in the field of architectural design and its impact on design efficiency, with 1810 articles screened from the Science Direct, Web of Science, Scopus, and China National Knowledge Network (CNKI) search engines, 92 of which were selected for meta-analysis and review. The results show that AI has great potential in the architectural design process, including creative development, data analysis, and problem-solving. In addition, AI has other applications throughout the building lifecycle, such as predictive analytics, construction supervision, and facility maintenance. In addition, through the discussion of traditional architectural design methods and AI-driven architectural design methods, this paper summarizes the advantages and challenges of AI technology in architectural design. Finally, through case analysis, this paper believes that the future of AI in the field of construction is full of infinite possibilities; through the correct guidance and regulation of its development, it will certainly bring more innovation and progress for the construction industry.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: BIM and Construction Integration
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Welsh School of Architecture, Cardiff University, Cardiff CF10 3XQ, UK
School of Architecture & Urban Planning, Shenzhen University, Shenzhen 518060, China
School of Materials Science and Engineering, Hainan University, Haikou 570228, China
College of Architecture & Urban Planning, Tongji University, Shanghai 200092, China
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