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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM62300
Volume:
10 |
5 |
May 2026
Pages:
1-16
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Department of Civil Engineering
D. Y. PATIL TECHNICAL CAMPUS, FACULTY OF ENGINEERING AND MANAGEMENT TALSANDE, KOLHAPUR 416112.
Department of Civil Engineering
D. Y. PATIL TECHNICAL CAMPUS, FACULTY OF ENGINEERING AND MANAGEMENT TALSANDE, KOLHAPUR 416112.
Department of Civil Engineering
D. Y. PATIL TECHNICAL CAMPUS, FACULTY OF ENGINEERING AND MANAGEMENT TALSANDE, KOLHAPUR 416112.
Department of Civil Engineering
D. Y. PATIL TECHNICAL CAMPUS, FACULTY OF ENGINEERING AND MANAGEMENT TALSANDE, KOLHAPUR 416112.
Department of Civil Engineering
D. Y. PATIL TECHNICAL CAMPUS, FACULTY OF ENGINEERING AND MANAGEMENT TALSANDE, KOLHAPUR 416112.
The rapid advancement of digital technologies has significantly transformed the field of civil engineering, with Artificial Intelligence (AI) and Building Information Modeling (BIM) emerging as key drivers of innovation. This study evaluates the effectiveness of AI and BIM in improving the planning, design, construction, and management of civil engineering projects. BIM enables the creation of detailed digital representations of physical infrastructure, facilitating enhanced visualization, coordination, and lifecycle management. Meanwhile, AI leverages machine learning algorithms and data analytics to support predictive analysis, automation, and intelligent decision-making. The integration of AI with BIM enhances project efficiency by enabling real-time data processing, risk assessment, and optimization of resources. This research is based on a qualitative analysis of existing literature, case studies, and industry reports to assess the practical impact of these technologies. The findings indicate that the combined use of AI and BIM leads to reduced project costs, minimized errors, improved safety, and faster project delivery. However, challenges such as high implementation costs, lack of skilled professionals, and data interoperability issues limit widespread adoption. The study concludes that AI and BIM together have the potential to revolutionize civil engineering by promoting sustainable, efficient, and intelligent infrastructure development, making them essential tools for the future of the construction industry.
KEYWORDS
The integration of Artificial Intelligence (AI) and Building Information Modeling (BIM) has significantly enhanced the effectiveness of civil engineering practices. BIM provides a comprehensive digital platform for planning, designing, and managing infrastructure, while AI adds intelligence through data analysis, automation, and predictive capabilities. Together, they transform traditional construction methods into more efficient, accurate, and data-driven processes. The combined use of AI and BIM improves project performance by reducing costs, minimizing errors, optimizing resource utilization, and ensuring timely completion. It also enhances safety through early risk detection and supports sustainable development by reducing material waste and energy consumption. Additionally, improved collaboration and real-time decision-making contribute to better project outcomes. However, challenges such as high initial investment, need for skilled professionals, data security concerns, and resistance to technological change still limit their widespread adoption. Despite these limitations, the long-term benefits of AI and BIM integration outweigh the drawbacks. In conclusion, AI and BIM are not just emerging technologies but essential tools for the future of civil engineering. Their continued development and adoption will lead to smarter infrastructure, improved efficiency, and sustainable construction practices, ultimately shaping the next generation of the construction industry.
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Publication Date
5/2/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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