Exploring the Intersection of Building Information Modeling (BIM) and Artificial Intelligence in Modern Infrastructure Projects

The integration of Building Information Modeling (BIM) and Artificial Intelligence (AI) is revolutionizing infrastructure development, offering innovative solutions for design, construction, and operational challenges. This study explores the synergy between BIM and AI, examining their conceptual framework, impact on sustainability and decision-making, and the challenges associated with their integration. Through a comprehensive review of recent literature and industry practices, the study elucidates the transformative potential of these technologies in modern infrastructure projects. The findings reveal that BIM and AI enhance project efficiency, resource management, and stakeholder collaboration by leveraging AI’s predictive analytics and automation alongside BIM’s digital modeling capabilities. These technologies enable precise resource allocation, dynamic risk mitigation, and sustainable energy solutions, aligning infrastructure projects with global environmental goals. However, challenges such as data interoperability, high implementation costs, and ethical concerns remain significant barriers to their widespread adoption. The study underscores the need for industry-wide data standards, advanced cybersecurity frameworks, and targeted workforce upskilling to address these challenges. Future trends identified include the integration of generative AI, blockchain technology, and the Internet of Things (IoT) into BIM systems, promising to further enhance the scope and functionality of these technologies. These advancements hold the potential to redefine infrastructure practices, driving innovation and sustainability. In conclusion, BIM and AI represent a paradigm shift in infrastructure development, fostering efficiency, sustainability, and resilience. It is recommended that stakeholders invest in research, adopt ethical AI practices, and build collaborative ecosystems to fully realize the benefits of these technologies. By addressing identified challenges and embracing emerging trends, BIM and AI can become foundational tools in achieving sustainable and technologically advanced infrastructure solutions.

Authors

Publication Details

Journal
International Journal of Science and Research Archive
Published
2024-12-13
DOI
https://doi.org/10.30574/ijsra.2024.13.2.2421
Citations
14
Primary Topic
BIM and Construction Integration
Type
article
Field-Weighted Citation Impact
3.71
Controls
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article

Exploring the Intersection of Building Information Modeling (BIM) and Artificial Intelligence in Modern Infrastructure Projects

Tochi Chimaobi Ohakawa, Obinna Iwuanyanwu, Baalah Matthew Patrick Garba, Gil-Ozoudeh Ifechukwu et al.
14 citations
International Journal of Science and Research Archive
BIM and Construction Integration
3.71
article

Exploring the Intersection of Building Information Modeling (BIM) and Artificial Intelligence in Modern Infrastructure Projects

Tochi Chimaobi Ohakawa, Obinna Iwuanyanwu, Baalah Matthew Patrick Garba, Gil-Ozoudeh Ifechukwu, Abiodun Benedict Adeyemi, Rasheed O Ajirotutu
article en
14 citations

Abstract

The integration of Building Information Modeling (BIM) and Artificial Intelligence (AI) is revolutionizing infrastructure development, offering innovative solutions for design, construction, and operational challenges. This study explores the synergy between BIM and AI, examining their conceptual framework, impact on sustainability and decision-making, and the challenges associated with their integration. Through a comprehensive review of recent literature and industry practices, the study elucidates the transformative potential of these technologies in modern infrastructure projects. The findings reveal that BIM and AI enhance project efficiency, resource management, and stakeholder collaboration by leveraging AI’s predictive analytics and automation alongside BIM’s digital modeling capabilities. These technologies enable precise resource allocation, dynamic risk mitigation, and sustainable energy solutions, aligning infrastructure projects with global environmental goals. However, challenges such as data interoperability, high implementation costs, and ethical concerns remain significant barriers to their widespread adoption. The study underscores the need for industry-wide data standards, advanced cybersecurity frameworks, and targeted workforce upskilling to address these challenges. Future trends identified include the integration of generative AI, blockchain technology, and the Internet of Things (IoT) into BIM systems, promising to further enhance the scope and functionality of these technologies. These advancements hold the potential to redefine infrastructure practices, driving innovation and sustainability. In conclusion, BIM and AI represent a paradigm shift in infrastructure development, fostering efficiency, sustainability, and resilience. It is recommended that stakeholders invest in research, adopt ethical AI practices, and build collaborative ecosystems to fully realize the benefits of these technologies. By addressing identified challenges and embracing emerging trends, BIM and AI can become foundational tools in achieving sustainable and technologically advanced infrastructure solutions.

International Journal of Science and Research ArchiveVol. 13(2)
Openalex Percentile: Top 7%
BIM and Construction Integration
3.71
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