Abstract
With the advocation of green building, prefabricated construction (PC) has become an emerging technology in the Architecture, Engineering & Construction (AEC) industry. Prefabricated components have much helpful information that must be exchanged and stored. Building Information Modeling (BIM) tools offer robust database systems for the components’ information. But encoding the data into BIM database is manual and error-prone. Current research concentrates on the three-dimensional analysis of PC model. The intelligent management of PC information in the design to construction phases is neglected. An automatic attribute data encoding method for prefabricated elements was developed using Revit, C#, and Excel to optimize the workflow and prevent inaccurate manual information input. By this means, the intelligent management of prefabricated components will be enhanced while mitigating manual risks.
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References
Ansah MK et al (2021) Developing an automated BIM-based life cycle assessment approach for modularly designed high-rise buildings. Environ Impact Assessment Rev 90(September 2020):106618. https://doi.org/10.1016/j.eiar.2021.106618
Bai S et al (2021) Developing a common library of prefabricated structure components through graphic media mapping to improve design efficiency. J Constr Eng Manag 147(1):1–15. Available at: https://doi.org/10.1061/(asce)co.1943-7862.0001954
Bortolini R, Formoso CT, Viana DD (2019) Site logistics planning and control for engineer-to-order prefabricated building systems using BIM 4D modeling. Autom Constr 98(February 2018):248–264. Available at https://doi.org/10.1016/j.autcon.2018.11.031
Cao J et al (2022) A graph-based approach for module library development in industrialized construction. Comput Ind 139:103659. Available at: https://doi.org/10.1016/j.compind.2022.103659
Ding Z et al. (2020) A building information modeling-based carbon emission measurement system for prefabricated residential buildings during the materialization phase. J Clean Prod 264:121728. Available at https://doi.org/10.1016/j.jclepro.2020.121728
Gan VJ (2022) BIM-based graph data model for automatic generative design of modular buildings. Autom Constr 134:104062
Getuli V et al (2016) A BIM-based construction supply chain framework for monitoring progress and coordination of site activities. Procedia Eng 164(June):542–549. Available at https://doi.org/10.1016/j.proeng.2016.11.656
Hao JL et al (2020) ‘Carbon emission reduction in prefabrication construction during materialization stage: a BIM-based life-cycle assessment approach. Sci Total Environ 723:137870. Available at https://doi.org/10.1016/j.scitotenv.2020.137870
He R et al (2021) BIM-enabled computerized design and digital fabrication of industrialized buildings: a case study. J Clean Prod 278. Available at https://doi.org/10.1016/j.jclepro.2020.123505
He W, Shong JYL, Wang C (2022) AI-driven BIM on the cloud, artificial intelligence in urban planning and design: technologies, implementation, and impacts. Elsevier. Available at https://doi.org/10.1016/B978-0-12-823941-4.00009-3
Heigermoser D et al (2019) BIM-based last planner system tool for improving construction project management. Autom Constr 104:246–254. Available at https://doi.org/10.1016/j.autcon.2019.03.019
Iacovidou E et al (2021) Digitally enabled modular construction for promoting modular components reuse: a UK view. J Build Eng 42(April):102820. Available at https://doi.org/10.1016/j.jobe.2021.102820
Irizarry J, Karan EP, Jalaei F (2013) Integrating BIM and GIS to improve the visual monitoring of construction supply chain management. Autom Constr 31:241–254. Available at https://doi.org/10.1016/j.autcon.2012.12.005
Jia S et al (2022) Bidirectional interaction between BIM and construction processes using a multisource geospatial data enabled point cloud model. Autom Constr 134(November 2021):104096. https://doi.org/10.1016/j.autcon.2021.104096
Kashmiri D et al (2020) BIM-based automated drainage system design in prefabrication construction. Constr Res Congr 007(1994):809–818
Kensek KM (2014) Building information modeling. Available at https://doi.org/10.4324/9781315797076
Khalili A, Chua DKH (2015) IFC-based graph data model for topological queries on building elements. J Comput Civ Eng 29(3):1–14. Available at: https://doi.org/10.1061/(asce)cp.1943-5487.0000331
Kolo SJ, Rahimian FP, Goulding JS (2014) Offsite manufacturing construction: a big opportunity for housing delivery in Nigeria. Procedia Eng 85:319–327. Available at https://doi.org/10.1016/j.proeng.2014.10.557
Li XJ et al. (2022) Holistic life-cycle accounting of carbon emissions of prefabricated buildings using LCA and BIM. Energy Build 266. Available at https://doi.org/10.1016/j.enbuild.2022.112136
Li XJ (2021) Using BIM to research carbon footprint during the materialization phase of prefabricated concrete buildings: a China study. J Clean Prod 279:123454. Available at https://doi.org/10.1016/j.jclepro.2020.123454
Liu H et al (2019) Towards sustainable construction: BIM-enabled design and planning of roof sheathing installation for prefabricated buildings. J Clean Prod 235:1189–1201
O’Neill G et al (2020) Toward automated virtual assembly for prefabricated construction: construction sequencing through simulated BIM. Constr Res Congr 007(1994):809–818
Pan Y, Zhang L (2021) A BIM-data mining integrated digital twin framework for advanced project management. Autom Constr 124(January):103564. Available at https://doi.org/10.1016/j.autcon.2021.103564
Rad MAH et al (2021) BIM-based approach to conduct life cycle cost analysis of resilient buildings at the conceptual stage. Autom Const 123(October 2020):103480. Available at https://doi.org/10.1016/j.autcon.2020.103480
Tam VWY et al. (2007) Towards adoption of prefabrication in construction. Build Environ 42(10):3642–3654. Available at https://doi.org/10.1016/j.buildenv.2006.10.003
Wang YG, He XJ, He J, Fan C (2022) Virtual trial assembly of steel structure based on BIM platform. Autom Constr 141:104395
Wrigley PA et al (2021) Off-site modular construction and design in nuclear power: a systematic literature review. Progr Nuclear Energy 134(December 2020):103664. Available at https://doi.org/10.1016/j.pnucene.2021.103664
Zhai Y et al (2019) An Internet of Things-enabled BIM platform for modular integrated construction: a case study in Hong Kong. Adv Eng Inf 42(April):100997. Available at https://doi.org/10.1016/j.aei.2019.100997
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Zhang, Y.J., Tang, S. (2024). An Automatic Attribute Data Encoding Method for Prefabricated Structural Elements. In: Papadikis, K., Zhang, C., Tang, S., Liu, E., Di Sarno, L. (eds) Towards a Carbon Neutral Future. ICSBS 2023. Lecture Notes in Civil Engineering, vol 393. Springer, Singapore. https://doi.org/10.1007/978-981-99-7965-3_47
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DOI: https://doi.org/10.1007/978-981-99-7965-3_47
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