• ISSN: 1674-7461
  • CN: 11-5823/TU
  • 主管:中国科学技术协会
  • 主办:中国图学学会
  • 承办:中国建筑科学研究院有限公司

2023, 15(4): 1-6. doi: 10.16670/j.cnki.cn11-5823/tu.2023.04.01

Looking towards the Future of BIM in South Korea Towards AI-Enhanced BIM

Department of Architecture and Architectural Engineering, Yonsei University

网络出版日期: 2023-08-30

作者简介: Ghang Lee (1970-), Male, PhD, Professor and Director of the Building Informatics Group (BIG) in the Department of Architecture & Architectural Engineering at Yonsei University, main research areas: BIM, AI, Lean Construction, and Intelligent Construction

Looking towards the Future of BIM in South Korea Towards AI-Enhanced BIM

Department of Architecture and Architectural Engineering, Yonsei University

Available Online: 2023-08-30

Author bio: Ghang Lee (1970-), Male, PhD, Professor and Director of the Building Informatics Group (BIG) in the Department of Architecture & Architectural Engineering at Yonsei University, main research areas: BIM, AI, Lean Construction, and Intelligent Construction

引用本文: Ghang Lee, Suhyung Jang, Kyungha Lee, Munchel Kim. Looking towards the Future of BIM in South Korea Towards AI-Enhanced BIM[J]. 土木建筑工程信息技术, 2023, 15(4): 1-6. doi: 10.16670/j.cnki.cn11-5823/tu.2023.04.01

Citation: Ghang Lee, Suhyung Jang, Kyungha Lee, Munchel Kim. Looking towards the Future of BIM in South Korea Towards AI-Enhanced BIM[J]. Journal of Information Technologyin Civil Engineering and Architecture, 2023, 15(4): 1-6. doi: 10.16670/j.cnki.cn11-5823/tu.2023.04.01

摘要:This paper provides an overview of South Korea's 20-year journey in adopting building information modeling (BIM) and future direction. It first discusses the six phases of BIM adoption in South Korea, starting from the use of BIM as a marketing tool to its current intelligent BIM phase. The government's support for BIM-related research and development projects is also highlighted, with a focus on the artificail intelligence (AI)-based architectural design automation project. As the future direction, it explores the integration of AI with BIM in both local and global contexts. The paper presents AI-powered architectural design methods, including AI-powered early architectural design generation and architectural detailing. Compared to AI-based early architectural design generation, architectural detailing is an unexplored research topic. This paper introduces two AI- and BIM-based architectural detailing methods, being developed at Yonsei University: namely, BIM library transplant and Natural language-based Architectural Detailing through Interaction with AI (NADIA). These methods demonstrate how AI-enhanced BIM can enable architects to interactively develop building details using a language model as a conversational AI and a knowledge base, and a BIM authoring tool as a design platform, in the near future.

关键词: building information modeling (BIM), artificial intelligence (AI), South Korea, BIM adoption, BIM utilization level (BUL), Natural language-based Architectural Detailing through Interaction with AI (NADIA), BIM library transplant

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Looking towards the Future of BIM in South Korea Towards AI-Enhanced BIM

Ghang Lee, Suhyung Jang, Kyungha Lee, Munchel Kim

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