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

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Title: Advances in AI-powered civil engineering throughout the entire lifecycle.
Authors: Xu, Gang1 (AUTHOR), Guo, Tong1 (AUTHOR) guotong@seu.edu.cn
Source: Advances in Structural Engineering. Jul2025, Vol. 28 Issue 9, p1515-1541. 27p.
Subjects: Structural health monitoring, Engineering management, Civil engineering, Data privacy, Engineering design
Abstract: With the rapid advancement of technology, artificial intelligence (AI) has gained widespread applications across various fields, including civil engineering. This paper provides a comprehensive review of AI's significant roles in design optimization, construction management, structural health monitoring (SHM), and smart city management. AI enhances the scientific and creative dimensions of civil engineering by optimizing design schemes, generating innovative solutions, and improving efficiency. In construction management, AI streamlines processes by enabling better schedule control, cost and quality management, and safety monitoring. In SHM, AI facilitates more accurate fault detection, health assessment, and lifespan prediction, improving the safety, durability, and resilience of infrastructure. AI's role in smart cities and infrastructure management further supports the efficient governance of urban planning, traffic control, and maintenance operations. However, challenges remain, including integrating AI with legacy infrastructure, ensuring data privacy and security, and overcoming scalability issues in real-world applications. The combination of AI with blockchain technology addresses transparency and security concerns, as demonstrated by emerging pilot projects. Additionally, integrating deep learning with big data will further enhance decision-making capabilities. As interdisciplinary research deepens and intelligent construction technologies become more prevalent, AI-powered civil engineering will advance toward more sustainable, efficient, and innovative practices, ultimately reshaping the field and meeting the demands of future urban development. [ABSTRACT FROM AUTHOR]
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.)
Database: Engineering Source
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  Data: Advances in AI-powered civil engineering throughout the entire lifecycle.
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  Data: <searchLink fieldCode="DE" term="%22Structural+health+monitoring%22">Structural health monitoring</searchLink><br /><searchLink fieldCode="DE" term="%22Engineering+management%22">Engineering management</searchLink><br /><searchLink fieldCode="DE" term="%22Civil+engineering%22">Civil engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Data+privacy%22">Data privacy</searchLink><br /><searchLink fieldCode="DE" term="%22Engineering+design%22">Engineering design</searchLink>
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  Data: With the rapid advancement of technology, artificial intelligence (AI) has gained widespread applications across various fields, including civil engineering. This paper provides a comprehensive review of AI's significant roles in design optimization, construction management, structural health monitoring (SHM), and smart city management. AI enhances the scientific and creative dimensions of civil engineering by optimizing design schemes, generating innovative solutions, and improving efficiency. In construction management, AI streamlines processes by enabling better schedule control, cost and quality management, and safety monitoring. In SHM, AI facilitates more accurate fault detection, health assessment, and lifespan prediction, improving the safety, durability, and resilience of infrastructure. AI's role in smart cities and infrastructure management further supports the efficient governance of urban planning, traffic control, and maintenance operations. However, challenges remain, including integrating AI with legacy infrastructure, ensuring data privacy and security, and overcoming scalability issues in real-world applications. The combination of AI with blockchain technology addresses transparency and security concerns, as demonstrated by emerging pilot projects. Additionally, integrating deep learning with big data will further enhance decision-making capabilities. As interdisciplinary research deepens and intelligent construction technologies become more prevalent, AI-powered civil engineering will advance toward more sustainable, efficient, and innovative practices, ultimately reshaping the field and meeting the demands of future urban development. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>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.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1177/13694332241307721
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      – Code: eng
        Text: English
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        PageCount: 27
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      – SubjectFull: Structural health monitoring
        Type: general
      – SubjectFull: Engineering management
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      – SubjectFull: Civil engineering
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      – SubjectFull: Data privacy
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      – SubjectFull: Engineering design
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            – D: 01
              M: 07
              Text: Jul2025
              Type: published
              Y: 2025
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