Large language models driven BIM-based DfMA method for free-form prefabricated buildings: framework and a usefulness case study

Author:

Han Dongchen1,Zhao Wuji1,Yin Hongxi2,Qu Ming3,Zhu Jian4,Ma Feifan5,Ying Yuejia6,Pan Annika2

Affiliation:

1. School of Architecture, Soochow University, Soochow, China

2. Sam Fox School of Design and Visual Arts, Washington University, St. Louis, USA

3. Lyles School of Civil Engineering, Purdue University, West Lafayette, USA

4. New York Office, ZGF Architects LLP, Portland, USA

5. Shanghai Office, Skidmore, Owings, & Merrill, Chicago, USA

6. Chicago Office, Skidmore, Owings, & Merrill, Chicago, USA

Funder

National Natural Science Foundation of China

Soochow University

Publisher

Informa UK Limited

Reference57 articles.

1. AIA. 2007. Integrated Project Delivery: A Guide. Washington, Dc. California: AIA (American Institute of Architects).

2. Impact of environmental factors on building project performance in Delta State, Nigeria

3. A BIM-based approach for DfMA in building construction: framework and first results on an Italian case study

4. Allen, J. 1995. Natural Language Understanding. IBM Watson: Benjamin-Cummings Publishing Co., Inc.

5. Banks, C., R. Kotecha, J. Curtis, C. Dee, N. Pitt, and R. Papworth. 2018. “Enhancing High-Rise Residential Construction Through Design for Manufacture and Assembly – A UK Case Study.” Proceedings of the Institution of Civil Engineers-Management, Procurement and Law 171, 164–175.

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