BIM Uptake and Adoption: New Perspectives

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

Deadline for manuscript submissions: 1 December 2024 | Viewed by 971

Special Issue Editors


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Guest Editor
School of Science, Engineering and Environment, University of Salford, Salford M5 4WT, UK
Interests: concurrent engineering; integrated and collaborative computing in construction; product and building information modelling; digital built environments; digital transformation; digital twin; collaborative working and behaviours; BIM maturity assessment; BIM education and training; organisational e-readiness
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Guest Editor
Department of Informatics, Mimar Sinan Fine Arts University, Istanbul 34427, Turkey
Interests: BIM; 3D GIS; internet of things; machine learning; deep learning
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Guest Editor
Retired Head of Quantity Surveying, Technological University Dublin, D07 EWV4 Dublin, Ireland
Interests: BIM; quantity surveying

Special Issue Information

Dear Colleagues,

Building Information Modelling (BIM) has emerged as a buzz-word that defines both an information sharing approach and an information management strategy for the design, construction, and operations of complex built asset projects. BIM has evolved to encompass most modern and innovative information management approaches, software development, and implementation efforts, and has been viewed as an enabler and facilitator of projects on the integrated management and delivery of built assets, as it supports modern project delivery approaches and provides a foundation for driving digital transformation towards a value- and data-driven culture. The uptake of technologies and information management methodologies introduced through BIM has not been seamless or easy for the industry. For many years, both academia and industry have worked to establish methods that would result in the most beneficial and effective outcomes while implementing a successful information management strategy, as introduced by BIM. The aim of this Special Issue is to provide up-to-date research results regarding the use, uptake, and adoption of BIM in different fields and for different processes in the construction and wider built environment sectors.

Prof. Dr. Jason Underwood
Prof. Dr. Ümit Işikdağ
Dr. Alan Hore
Guest Editors

Manuscript Submission Information

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Keywords

  • BIM
  • life-cycle
  • collaboration
  • adoption
  • circular economy
  • point cloud
  • energy analysis
  • project management

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Published Papers (1 paper)

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Research

33 pages, 28774 KiB  
Article
Quality Evaluation of Sizeable Surveying-Industry-Produced Terrestrial Laser Scanning Point Clouds That Facilitate Building Information Modeling—A Case Study of Seven Point Clouds
by Sander Varbla, Raido Puust and Artu Ellmann
Buildings 2024, 14(11), 3371; https://doi.org/10.3390/buildings14113371 - 24 Oct 2024
Viewed by 530
Abstract
Terrestrial laser scanning can provide high-quality, detailed point clouds, with state-of-the-art research reporting the potential for sub-centimeter accuracy. However, state-of-the-art research may not represent real-world practices reliably. This study aims to deliver a different perspective through collaboration with the surveying industry, where time [...] Read more.
Terrestrial laser scanning can provide high-quality, detailed point clouds, with state-of-the-art research reporting the potential for sub-centimeter accuracy. However, state-of-the-art research may not represent real-world practices reliably. This study aims to deliver a different perspective through collaboration with the surveying industry, where time constraints and productivity requirements limit the effort which can go to ensuring point cloud quality. Seven sizeable buildings’ point clouds (490 to 1392 scanning stations) are evaluated qualitatively and quantitatively. Quantitative evaluations based on independent total station control surveys indicate that sub-centimeter accuracy is achievable for smaller point cloud portions (e.g., a single building story) but caution against such optimism for sizable point clouds of large, multi-story buildings. The control surveys reveal common registration errors around the 5 cm range, resulting from complex surface geometries, as in stairways. Potentially hidden from visual inspection, such systematic errors can cause misalignments between point cloud portions in the compound point cloud structure, which could be detrimental to further applications of the point clouds. The study also evaluates point cloud georeferencing, affirming the resection method’s capability of providing high consistency and an accuracy of a few centimeters. Following the study’s findings, practical recommendations for terrestrial laser scanning surveys and data processing are formulated. Full article
(This article belongs to the Special Issue BIM Uptake and Adoption: New Perspectives)
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