Integration of Augmented Reality with Building Information Modeling: Design Optimization and Construction Rework Reduction Perspective

Abstract

The construction industry is on the brink of a transformative shift with the integration of Building Information Modelling (BIM) and Augmented Reality (AR) to enhance project efficiency and accuracy. This study presents a comprehensive analysis and model that outlines the potential of BIM-AR integration in optimizing design processes and minimizing reworks in the construction industry. The study applied a systematic literature review methodology to highlight the potential of this integration in revolutionising construction practices. Key findings reveal that this integration facilitates a robust digital-physical bridge, ensures real-time data accessibility, and extends across the project’s lifecycle. The model underscores the pivotal role of AR technologies and BIM authoring tools in realizing this potential, while also recognizing hardware constraints, software compatibility, and scalability as primary limitations. Remarkable challenges such as technology integration, data management, and user adoption are discussed, highlighting the need for industry-wide education and a cultural shift towards new technological practices. The study charts a future research trajectory focusing on standardization, affordable solutions, AI advancements, user experience, and sustainability investigations. By enabling superior visualization, communication, and collaboration, the BIM-AR convergence is set to revolutionize construction practices, driving the industry towards more sustainable, efficient, and error-minimized operations. This integration model serves as a roadmap for researchers and practitioners to outline the current state and future directions for BIM-AR in construction.

Publication DOI: https://doi.org/10.1007/s11831-024-10211-6
Divisions: College of Engineering & Physical Sciences > School of Infrastructure and Sustainable Engineering > Civil Engineering
College of Engineering & Physical Sciences
Aston University (General)
Additional Information: Copyright © The Author(s), under exclusive licence to International Center for Numerical Methods in Engineering (CIMNE) 2024. This version of the article has been accepted for publication, after peer review and is subject to Springer Nature’s AM terms of use [ https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms ] but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/s11831-024-10211-6
Uncontrolled Keywords: Computer Science Applications,Applied Mathematics
Publication ISSN: 1886-1784
Last Modified: 25 Mar 2025 08:13
Date Deposited: 15 Jan 2025 12:44
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Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
https://link.sp ... 831-024-10211-6 (Publisher URL)
PURE Output Type: Review article
Published Date: 2024-12-29
Published Online Date: 2024-12-29
Accepted Date: 2024-11-09
Authors: Bhatarai, Ram
Banihashemi, Saeed
Shakouri, Mahmoud
Antwi-Afari, Maxwell (ORCID Profile 0000-0002-6812-7839)

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