Digital library of construction informatics and information technology in civil engineering and construction
Digital library
Paper: lc3-2017-287
| Paper title: | Operation-Level 4D Modeling and Visualization for Modular Building Based on Standard Activity Library |
| Authors: | Hengwei Wang, Jiarui Lin and Jianping Zhang |
| Summary: | Modular or prefabricated building plays an important role in lean construction and green building. Building information modeling and 4D bring a new paradigm for data modeling and visualization in the Architecture, Engineering and Construction domain. Meanwhile, lots of time was consumed when modeling and visualizing the dynamic construction process based on 4D. It takes more time to create an operation-level 4D model for technical specification, that always adopted to ensure the quality and safety. Given that modular or prefabricated building projects have lots of similar construction activities, this paper proposed a 4D modeling and visualization approach for modular building, which can persist generalized construction activities and operations in standard activity library and fully utilize them in schedule detailing and visualization. The approach is designed and applied based on previous researches and applications of 4D BIM and has been used in a practical project of modular residential project to illustrate the feasibility of the work and the possibility of future research. |
| Type: | regular paper |
| Year of publication: | 2017 |
| Keywords: | 4D Modeling, Operation Level, Building Information Model, Modular Building, Prefabricated Building |
| Series: | jc3:2017 |
| Download paper: | /pdfs/LC3_2017_paper_287.pdf |
| Citation: | Hengwei Wang, Jiarui Lin and Jianping Zhang (2017). Operation-Level 4D Modeling and Visualization for Modular Building Based on Standard Activity Library. Lean and Computing in Construction Congress (LC3): Volume I Ð Proceedings of the Joint Conference on Computing in Construction (JC3), July 4-7, 2017, Heraklion, Greece, pp. 841-848, http://itc.scix.net/paper/lc3-2017-287 |
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