Application and Future Development of AI in Construction Quality Control
Journal: Architecture Engineering and Science DOI: 10.32629/aes.v6i1.3761
Abstract
This study analyzes the AI practices of leading firms—such as Gensler and ZGF Architects — across 27 projects to build a “Design–Construction Quality Closed-Loop Control Model.” Data shows that AI technology has improved the detection rate of design flaws by 89%, reduced rework costs by 58%, and shortened project durations by 22%. The paper innovatively introduces the “Three Principles of Human–Machine Symbiotic Quality Control” and, for the first time, reveals technical details from landmark projects like the Portland Smart Office Building and New York’s Hudson Yards. The results provide a solution that is both academically rigorous and practically feasible for the intelligent transformation of the construction industry.
Keywords
artificial intelligence, construction quality control, generative design, bim collaboration, building information modeling (BIM), human–machine symbiosis
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Copyright © 2025 Lena (Xixiao) Zhang
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
