Building Information Modelling: Where EI (Engineering Intelligence) is Also Needed, not Just AI


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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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 :

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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.

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Paper Submission Last Date
31 - December - 2025

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