Authors :
Abhijeet Vijay Gawai
Volume/Issue :
Volume 10 - 2025, Issue 12 - December
Google Scholar :
https://tinyurl.com/2fhmh8ma
Scribd :
https://tinyurl.com/4ajtaayx
DOI :
https://doi.org/10.38124/ijisrt/25dec483
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Note : Google Scholar may take 30 to 40 days to display the article.
Abstract :
The global rise of Building Information Modelling (BIM) has improved digital coordination across projects, yet
its adoption is often misinterpreted as a software exercise rather than an engineering-centric process. This paper argues that
BIM maturity is governed not by modelling tools but by Engineering Intelligence (EI)-the design judgement, code provisions
& its awareness, constructability insight, sequencing logic, and interdisciplinary decision-making applied by engineers.
Through evidence from Indian and international infrastructure, high-rise, industrial, and tunnelling projects, the study
demonstrates that software alone identifies geometry, whereas EI interprets structural behaviour, prioritises clashes, ensures
reinforcement feasibility, evaluates temporary works, and forecasts risks. Quantitative trends from real deployments
indicate significant reductions in rework, congestion, sequencing delays, temporary works improvisation, and structural
RFIs when EI governs BIM. The paper further highlights why field adoption often fails due to poor model usability despite
high model availability, and how simplified access-through read-only viewers, QR-linked model locations, preset views and
rugged tablets—enables successful site integration. Finally, it extends BIM’s role beyond construction, illustrating how
lifecycle continuity supports retrofitting, change of use, expansion, and safe decommissioning. The findings reinforce that
BIM is not a replacement for engineering expertise but a framework that amplifies it; meaningful project performance is
achieved only when digital workflows are driven by engineering intelligence rather than software proficiency.
Keywords :
Building Information Modelling (BIM); Engineering Intelligence (EI); Design Coordination; Constructability; 4D Sequencing; Risk Mitigation; Infrastructure Projects; Metro; Industrial Buildings.
References :
- I. Motawa and K. Carter, “BIM in construction coordination: Reducing structural–MEP conflicts and late site rectification,” Automation in Construction, vol. 34, pp. 193–203, 2013.
- P. Paulson and R. Radhakrishnan, “BIM for reinforcement detailing in RCC frame structures,” Int. J. Res. Eng. Technol., vol. 5, no. 3, pp. 245–250, 2016.
- R. Sacks, C. Eastman, G. Lee, and P. Teicholz, BIM Handbook, 3rd ed., Hoboken, NJ, USA: Wiley, 2018.
- Hong Kong–Zhuhai–Macau Bridge Authority, “Digital construction and BIM for temporary works, falsework and staged construction,” Macau, China, Tech. Rep., 2018.
- Crossrail Ltd., “BIM-driven design coordination and construction management: Crossrail learning legacy case studies,” London, U.K., Tech. Rep., 2018.
- Autodesk, “Burj Khalifa podium expansion: Structural rebar coordination and constructability improvement using BIM,” San Rafael, CA, USA, 2018.
- Building and Construction Authority (BCA), “BIM impact and productivity report,” Singapore, Tech. Rep., 2019.
- Hong Kong Highways Department, “BIM standards and guidance: Prestressing anchors and sequencing applications,” Hong Kong SAR, China, Tech. Rep., 2019.
- CIB W78, “Proceedings of the International Conference on Information Technology in Construction,” CIB, 2019–2022.
- P. Smith, BIM for Infrastructure: Case Studies in Bridges, Tunnels and Major Transport Assets, London, U.K.: ICE Publishing, 2020.
- Larsen & Toubro Construction, “BIM implementation in metro and bridge projects,” India, Tech. Rep., 2020.
- A. Z. Sampaio, “BIM methodology in structural design,” Buildings, vol. 13, no. 1, pp. 1–18, 2022.
- A. Franco, J. M. Sarabia, and J. M. Adam, “BIM and QR-codes interaction on a construction site,” International Journal of Construction Management, vol. 22, no. 12, pp. 2083–2092, 2020.
- Y. Kim, J. Kim, and Y. Cho, “Field construction management application through mobile BIM and location tracking technology,” Automation in Construction, vol. 35, pp. 348–361, 2013.
- J. Irizarry, M. Gheisari, and B. Walker, “Mobile BIM for field operations: Leveraging location-based information and mobile computing,” Automation in Construction, vol. 20, no. 1, pp. 24–35, 2011.
- H. Kang and M. Lee, “Construction progress monitoring using BIM and QR Code,” in Proc. 36th International Conference on Information Technology in Construction (CIB W78), 2019, pp. 409–417.
The global rise of Building Information Modelling (BIM) has improved digital coordination across projects, yet
its adoption is often misinterpreted as a software exercise rather than an engineering-centric process. This paper argues that
BIM maturity is governed not by modelling tools but by Engineering Intelligence (EI)-the design judgement, code provisions
& its awareness, constructability insight, sequencing logic, and interdisciplinary decision-making applied by engineers.
Through evidence from Indian and international infrastructure, high-rise, industrial, and tunnelling projects, the study
demonstrates that software alone identifies geometry, whereas EI interprets structural behaviour, prioritises clashes, ensures
reinforcement feasibility, evaluates temporary works, and forecasts risks. Quantitative trends from real deployments
indicate significant reductions in rework, congestion, sequencing delays, temporary works improvisation, and structural
RFIs when EI governs BIM. The paper further highlights why field adoption often fails due to poor model usability despite
high model availability, and how simplified access-through read-only viewers, QR-linked model locations, preset views and
rugged tablets—enables successful site integration. Finally, it extends BIM’s role beyond construction, illustrating how
lifecycle continuity supports retrofitting, change of use, expansion, and safe decommissioning. The findings reinforce that
BIM is not a replacement for engineering expertise but a framework that amplifies it; meaningful project performance is
achieved only when digital workflows are driven by engineering intelligence rather than software proficiency.
Keywords :
Building Information Modelling (BIM); Engineering Intelligence (EI); Design Coordination; Constructability; 4D Sequencing; Risk Mitigation; Infrastructure Projects; Metro; Industrial Buildings.