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<p>The integration of Artificial Intelligence (AI) with Building Information Modelling (BIM) systems is driving a profound transformation in project delivery approaches, necessitating a systematic evaluation of its impact on design and construction processes. This study explores how AI-BIM integration enhances construction efficiency, with a focus on improving accuracy, productivity, and decision-making across project lifecycles. The research employs a mixed-methods approach, combining theoretical and applied analyses. Through descriptive-analytical methods, we assessed conceptual frameworks and the latest technological advancements were assessed, while deductive analysis was applied to real-world case studies. A practical case study of a construction project utilizing AI-BIM integration was examined to evaluate its benefits and challenges. The findings reveal significant improvements in construction methodologies, including: Enhanced design automation through AI-driven generative solutions. Faster structural and energy performance analysis using machine learning algorithms. Greater planning accuracy and improved decision-making in early project phases. Reduced errors and costs via intelligent automation and predictive modelling. The study recommends: Developing standardized frameworks for AI-BIM integration in construction practices, Implementing specialized training programs to upskill professionals in AI and BIM technologies Conducting further research to measure long-term economic and time-saving impacts of AI-BIM adoption.</p>

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The impact of integrating artificial intelligence and Building information modeling (BIM) systems on the development of construction methodologies

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年9月16日

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  • Ahmed R. Attia

摘要

The integration of Artificial Intelligence (AI) with Building Information Modelling (BIM) systems is driving a profound transformation in project delivery approaches, necessitating a systematic evaluation of its impact on design and construction processes. This study explores how AI-BIM integration enhances construction efficiency, with a focus on improving accuracy, productivity, and decision-making across project lifecycles. The research employs a mixed-methods approach, combining theoretical and applied analyses. Through descriptive-analytical methods, we assessed conceptual frameworks and the latest technological advancements were assessed, while deductive analysis was applied to real-world case studies. A practical case study of a construction project utilizing AI-BIM integration was examined to evaluate its benefits and challenges. The findings reveal significant improvements in construction methodologies, including: Enhanced design automation through AI-driven generative solutions. Faster structural and energy performance analysis using machine learning algorithms. Greater planning accuracy and improved decision-making in early project phases. Reduced errors and costs via intelligent automation and predictive modelling. The study recommends: Developing standardized frameworks for AI-BIM integration in construction practices, Implementing specialized training programs to upskill professionals in AI and BIM technologies Conducting further research to measure long-term economic and time-saving impacts of AI-BIM adoption.