Optical Fiber-Based Structural Health Monitoring: Advancements, Applications, and Integration with Artificial Intelligence for Civil and Urban Infrastructure
Structural health monitoring (SHM) plays a vital role in ensuring the safety, durability, and performance of civil infrastructure. This review delves into the significant advancements in optical fiber sensor (OFS) technologies such as Fiber Bragg Gratings, Distributed Temperature Sensing, and Brillo...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-06-01
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| Series: | Photonics |
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| Online Access: | https://www.mdpi.com/2304-6732/12/6/615 |
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| author | Nikita V. Golovastikov Nikolay L. Kazanskiy Svetlana N. Khonina |
| author_facet | Nikita V. Golovastikov Nikolay L. Kazanskiy Svetlana N. Khonina |
| author_sort | Nikita V. Golovastikov |
| collection | DOAJ |
| description | Structural health monitoring (SHM) plays a vital role in ensuring the safety, durability, and performance of civil infrastructure. This review delves into the significant advancements in optical fiber sensor (OFS) technologies such as Fiber Bragg Gratings, Distributed Temperature Sensing, and Brillouin-based systems, which have emerged as powerful tools for enhancing SHM capabilities. Offering high sensitivity, resistance to electromagnetic interference, and real-time distributed monitoring, these sensors present a superior alternative to conventional methods. This paper also explores the integration of OFSs with Artificial Intelligence (AI), which enables automated damage detection, intelligent data analysis, and predictive maintenance. Through case studies across key infrastructure domains, including bridges, tunnels, high-rise buildings, pipelines, and offshore structures, the review demonstrates the adaptability and scalability of these sensor systems. Moreover, the role of SHM is examined within the broader context of civil and urban infrastructure, where IoT connectivity, AI-driven analytics, and big data platforms converge to create intelligent and responsive infrastructure. While challenges remain, such as installation complexity, calibration issues, and cost, ongoing innovation in hybrid sensor networks, low-power systems, and edge computing points to a promising future. This paper offers a comprehensive amalgamation of current progress and future directions, outlining a strategic path for next-generation SHM in resilient urban environments. |
| format | Article |
| id | doaj-art-dd7f2a19f2bc4e81a7c9538c8fefcf42 |
| institution | Matheson Library |
| issn | 2304-6732 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Photonics |
| spelling | doaj-art-dd7f2a19f2bc4e81a7c9538c8fefcf422025-06-25T14:19:17ZengMDPI AGPhotonics2304-67322025-06-0112661510.3390/photonics12060615Optical Fiber-Based Structural Health Monitoring: Advancements, Applications, and Integration with Artificial Intelligence for Civil and Urban InfrastructureNikita V. Golovastikov0Nikolay L. Kazanskiy1Svetlana N. Khonina2Samara National Research University, 34 Moskovskoye Shosse, 443086 Samara, RussiaSamara National Research University, 34 Moskovskoye Shosse, 443086 Samara, RussiaSamara National Research University, 34 Moskovskoye Shosse, 443086 Samara, RussiaStructural health monitoring (SHM) plays a vital role in ensuring the safety, durability, and performance of civil infrastructure. This review delves into the significant advancements in optical fiber sensor (OFS) technologies such as Fiber Bragg Gratings, Distributed Temperature Sensing, and Brillouin-based systems, which have emerged as powerful tools for enhancing SHM capabilities. Offering high sensitivity, resistance to electromagnetic interference, and real-time distributed monitoring, these sensors present a superior alternative to conventional methods. This paper also explores the integration of OFSs with Artificial Intelligence (AI), which enables automated damage detection, intelligent data analysis, and predictive maintenance. Through case studies across key infrastructure domains, including bridges, tunnels, high-rise buildings, pipelines, and offshore structures, the review demonstrates the adaptability and scalability of these sensor systems. Moreover, the role of SHM is examined within the broader context of civil and urban infrastructure, where IoT connectivity, AI-driven analytics, and big data platforms converge to create intelligent and responsive infrastructure. While challenges remain, such as installation complexity, calibration issues, and cost, ongoing innovation in hybrid sensor networks, low-power systems, and edge computing points to a promising future. This paper offers a comprehensive amalgamation of current progress and future directions, outlining a strategic path for next-generation SHM in resilient urban environments.https://www.mdpi.com/2304-6732/12/6/615optical fiber sensorsstructural health monitoringartificial intelligencesmart cities |
| spellingShingle | Nikita V. Golovastikov Nikolay L. Kazanskiy Svetlana N. Khonina Optical Fiber-Based Structural Health Monitoring: Advancements, Applications, and Integration with Artificial Intelligence for Civil and Urban Infrastructure Photonics optical fiber sensors structural health monitoring artificial intelligence smart cities |
| title | Optical Fiber-Based Structural Health Monitoring: Advancements, Applications, and Integration with Artificial Intelligence for Civil and Urban Infrastructure |
| title_full | Optical Fiber-Based Structural Health Monitoring: Advancements, Applications, and Integration with Artificial Intelligence for Civil and Urban Infrastructure |
| title_fullStr | Optical Fiber-Based Structural Health Monitoring: Advancements, Applications, and Integration with Artificial Intelligence for Civil and Urban Infrastructure |
| title_full_unstemmed | Optical Fiber-Based Structural Health Monitoring: Advancements, Applications, and Integration with Artificial Intelligence for Civil and Urban Infrastructure |
| title_short | Optical Fiber-Based Structural Health Monitoring: Advancements, Applications, and Integration with Artificial Intelligence for Civil and Urban Infrastructure |
| title_sort | optical fiber based structural health monitoring advancements applications and integration with artificial intelligence for civil and urban infrastructure |
| topic | optical fiber sensors structural health monitoring artificial intelligence smart cities |
| url | https://www.mdpi.com/2304-6732/12/6/615 |
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