Application of AI and ML in Civil Engineering: A Comprehensive Review

  • Unique Paper ID: 201834
  • Volume: 12
  • Issue: 12
  • PageNo: 10242-10246
  • Abstract:
  • The integration of Artificial Intelligence (AI) and Machine Learning (ML) into civil engineering has emerged as a transformative approach to addressing complex challenges in design, construction, and infrastructure management. This comprehensive review explores the current applications, advancements, and future potential of AI and ML techniques across various domains of civil engineering, including structural health monitoring, geotechnical engineering, transportation systems, water resource management, and construction project optimization. By leveraging data-driven models, predictive analytics, and automation, these technologies enable improved accuracy, efficiency, and decision-making compared to traditional methods.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{201834,
        author = {Ms. Tina Anil Nemade and Prof. P. M. Attarde},
        title = {Application of AI and ML in Civil Engineering: A Comprehensive Review},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {10242-10246},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=201834},
        abstract = {The integration of Artificial Intelligence (AI) and Machine Learning (ML) into civil engineering has emerged as a transformative approach to addressing complex challenges in design, construction, and infrastructure management. This comprehensive review explores the current applications, advancements, and future potential of AI and ML techniques across various domains of civil engineering, including structural health monitoring, geotechnical engineering, transportation systems, water resource management, and construction project optimization. By leveraging data-driven models, predictive analytics, and automation, these technologies enable improved accuracy, efficiency, and decision-making compared to traditional methods.},
        keywords = {Artificial Intelligence (AI), Deep Learning (DL), Machine Learning (ML), Structural Health Monitoring (SHM)},
        month = {May},
        }

Cite This Article

Nemade, M. T. A., & Attarde, P. P. M. (2026). Application of AI and ML in Civil Engineering: A Comprehensive Review. International Journal of Innovative Research in Technology (IJIRT), 12(12), 10242–10246.

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