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Data-driven integration framework for four-dimensional building information modeling simulation in modular construction: a case study approach
- Rehman, Saddiq Ur;
- Kim, Inhan;
- Choi, Jungsik
WEB OF SCIENCE
18SCOPUS
24초록
Modular construction is becoming more popular because of its efficiency, cost-saving, and environmental benefits, but its successful implementation necessitates detailed planning, scheduling, and coordination. Building information modeling (BIM) and four-dimensional (4D) simulation techniques have emerged as invaluable tools for visualizing and analyzing the construction process in order to meet these requirements. However, integrating distinctive data sources and developing comprehensive 4D BIM simulations tailored to modular construction projects present significant challenges. Case studies are used in this paper to define precise data needs and to design a robust data integration framework for improving 4D BIM simulations in modular construction. The validation of the framework in a real-world project demonstrates its efficacy in integrating data, promoting cooperation, detecting risks, and supporting informed decision-making, ultimately enhancing modular building results through more realistic simulations. By solving data integration difficulties, this research provides useful insights for industry practitioners and researchers, enabling informed decision-making and optimization of modular building projects. Graphical Abstract Data-driven integration framework for four-dimensional building information modeling simulation in modular construction: a case study approach
키워드
- 제목
- Data-driven integration framework for four-dimensional building information modeling simulation in modular construction: a case study approach
- 저자
- Rehman, Saddiq Ur; Kim, Inhan; Choi, Jungsik
- 발행일
- 2023-11-03
- 유형
- Article
- 권
- 10
- 호
- 6
- 페이지
- 2288 ~ 2311
- 언어
- ENG
- 출판사
- OXFORD UNIV PRESS
- 발행국가
- 영국
- 분량
- 24 페이지
- ISSN
- E 2288-5048
P 2288-4300