Investigating the future of model-based construction in the UK

IF 3.5 Q3 GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY
Tara Brooks, Ryan Zantinge, Faris Elghaish
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引用次数: 1

Abstract

PurposeAlthough data rich building information models have been widely adopted in the Architecture Engineering and Construction (AEC) industry in the United Kingdom (UK), use of 2D drawings on site for construction is still the norm. The ability of 2-dimensional (2D) drawings to convey complex 3-dimensional information is limited and requires interpretation from operatives, and 2D drawings can be quickly superseded by model updates. Although constructing directly from a model has been adopted in the aerospace and automotive industries, its use in construction is in its infancy. This research therefore aims to investigate the potential for, and barriers to, model-based construction in the UK.Design/methodology/approachThis research uses a qualitative approach, thematically analysing 13 semi-structured interviews with UK-based construction professionals who have experience of paperless or model-based construction.FindingsAlthough model -based construction has been implemented to a limited extent on some civil engineering projects; research and investment in software, network capacity, legal and contractual issues, and cultural and human factors will need to be considered before model-based construction can be implemented more widely.Originality/valueThe research contributes to an understudied, emergent area of construction practice and outlines hurdles that need to be understood and overcome before more widespread adoption of model-based construction can take place.
研究英国基于模型的建筑的未来
目的尽管数据丰富的建筑信息模型已在英国的建筑工程和施工(AEC)行业中广泛采用,但在现场使用二维图纸进行施工仍然是常态。二维(2D)图纸传达复杂三维信息的能力是有限的,需要操作人员进行解释,二维图纸可以很快被模型更新所取代。尽管航空航天和汽车行业已经采用了直接从模型构建,但其在建筑中的应用尚处于起步阶段。因此,本研究旨在调查英国基于模型施工的潜力和障碍。设计/方法/方法本研究采用定性方法,对13名具有无纸化或基于模型施工经验的英国施工专业人员进行了半结构化访谈。发现尽管在一些土木工程项目中,基于模型的施工实施程度有限;在更广泛地实施基于模型的构建之前,需要考虑软件、网络容量、法律和合同问题以及文化和人为因素方面的研究和投资。独创性/价值该研究有助于构建实践中一个研究不足、新兴的领域,并概述了在更广泛地采用基于模型的构建之前需要理解和克服的障碍。
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来源期刊
Smart and Sustainable Built Environment
Smart and Sustainable Built Environment GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY-
CiteScore
9.20
自引率
8.30%
发文量
53
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