JOURNAL ARTICLE

Advances in AI-powered civil engineering throughout the entire lifecycle.

  • Published In: Advances in Structural Engineering, 2025, v. 28, n. 9. P. 1515 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Xu, Gang; Guo, Tong 3 of 3

Abstract

This article reviews the extensive applications of artificial intelligence (AI) in civil engineering, focusing on its roles in design optimization, construction management, structural health monitoring (SHM), and smart city and infrastructure management. AI enhances civil engineering by optimizing design schemes, generating innovative solutions, improving construction efficiency and safety, enabling precise fault detection and health assessment of structures, and supporting intelligent urban planning and traffic control. Despite these advances, challenges such as limited data for rare events, integration with legacy infrastructure, data privacy, scalability, regulatory uncertainties, high costs, and industry resistance hinder widespread adoption. Future directions emphasize integrating deep learning with big data, intelligent construction technologies, AI-blockchain fusion for data security, and multidisciplinary collaboration to foster more sustainable, efficient, and innovative civil engineering practices.

Additional Information

  • Source:Advances in Structural Engineering. 2025/07, Vol. 28, Issue 9, p1515
  • Document Type:Literature Review
  • Subject Area:Engineering
  • Publication Date:2025
  • ISSN:1369-4332
  • DOI:10.1177/13694332241307721
  • Accession Number:185986240
  • Copyright Statement:Copyright of Advances in Structural Engineering is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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