Emerging Technologies and Workflows for BIM and Digital Construction

A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Construction Management, and Computers & Digitization".

Deadline for manuscript submissions: 30 June 2024 | Viewed by 2013

Special Issue Editors


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Guest Editor
Faculty of Science and Engineering, Wolverhampton, UK
Interests: digital construction; BIM; virtual reality; heritage BIM; augmented reality; drones; laser scanning; photogrammetry
School of Engineering, Design and Built Environment, Western Sydney University, Penrith, Australia
Interests: BIM implementation; computer vision; digital construction; digital twin
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The implementation of building information modelling (BIM) processes and technologies over the last 15 years has bought about a signifiacnt enhancement of the digitsation of the industry. This adoption has not been without its challenges with the divide being evident based on global geography (Saka and Chanm, 2023) and individual company size (Turk, 2021). Whilst the adoption of digital technologies and subsequent BIM processes may have been more laboured than other sectors, we are seeing some significant transformations in workflows and applications, not least because of the increased developments in hardware and software technologies.

The progression of hardware and software tools is happening at an unprecented rate. Autonomous vehicles, drones and advanced robotics are some examples of how construction is finding use cases to support a range of site-based activities. In the domain of software, we are seeing the rise in Digital Twin, the increasing use and exploitation of artificial intelligence and virtual and augmented reality tools that blur the line between the physical and the virtual. All of these emergent technologies engage with digital data in various forms and subsequently feed into the digital based workflows at the heart of the BIM process.

The aim of this Special Issue is to provide example use cases and recommended novel workflows for how emerging technologies can be implemented within prevailing BIM workflows to further enhance the digitisation of the construction industry.

References

Saka, A.B. and Chan, D.W., 2023. BIM divide: an international comparative analysis of perceived barriers to implementation of BIM in the construction industry. Journal of Engineering, Design and Technology, 21(5), pp.1604-1632.

Turk, Ž., 2023. Structured analysis of ICT adoption in the European construction industry. International Journal of Construction Management, 23(5), pp.756-762.

Dr. David Heesom
Dr. Wei Zhou
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Buildings is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • building information modelling (BIM)
  • emerging technology
  • digital twin artificial intelligence
  • virtual augmented reality
  • digital data
  • robotics

Published Papers (1 paper)

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Research

26 pages, 2800 KiB  
Article
Assessment Framework for BIM-Digital Twin Readiness in the Construction Industry
by Aljawharah A. Alnaser, Ali Hassan Ali, Haytham H. Elmousalami, Ahmed Elyamany and Ahmed Gouda Mohamed
Buildings 2024, 14(1), 268; https://doi.org/10.3390/buildings14010268 - 18 Jan 2024
Cited by 3 | Viewed by 1519
Abstract
This study introduces a pioneering structural equation modeling (SEM)-based framework to assess BIM-DT adoption readiness in sustainable construction. The research’s approach delves into the intricate correlation between key success factors (KSFs) and sustainable parameters (SPs), fostering BIM-DT deployment. This interdisciplinary perspective provides a [...] Read more.
This study introduces a pioneering structural equation modeling (SEM)-based framework to assess BIM-DT adoption readiness in sustainable construction. The research’s approach delves into the intricate correlation between key success factors (KSFs) and sustainable parameters (SPs), fostering BIM-DT deployment. This interdisciplinary perspective provides a holistic understanding of the impact of KSFs on BIM-DT adoption. The research aims to identify KSFs and parameters, prioritize their relative weights for BIM-DT implementation, analyze KSFs and SPs correlations, and offer practical insights into the findings. The results revealed the importance of sustainability considerations in BIM-DT adoption, with cost optimization and resource management playing pivotal roles. The findings also revealed that the readiness of the organization to adopt the technology, availability of technology operators, availability of standards and codes for the new technology, availability of knowledge, skills, and competencies to adopt the technology, and availability of funds and financial investment are the top-ranked KSFs contributing to the successful adoption of BIM-DT. Full article
(This article belongs to the Special Issue Emerging Technologies and Workflows for BIM and Digital Construction)
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