Poststrengthening Remote Monitoring in Practice: A Case Study of RC Structure Renovation.
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| Title: | Poststrengthening Remote Monitoring in Practice: A Case Study of RC Structure Renovation. |
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| Authors: | Blikharskyy, Yaroslav1 (AUTHOR), Kopiika, Nadiia1,2 (AUTHOR) n.kopiika@ucl.ac.uk, Bobalo, Taras3 (AUTHOR), Selejdak, Jacek4 (AUTHOR), Blikharskyy, Zinoviy3,4 (AUTHOR), Sanni, Samuel E. (AUTHOR) samuel.sanni@covenantuniversity.edu.ng |
| Source: | Journal of Engineering (2314-4912). 9/24/2025, Vol. 2025, p1-25. 25p. |
| Subjects: | Reinforced concrete, Digital image correlation, Building repair, Applied sciences, Sustainability, Maintainability (Engineering), Online monitoring systems |
| Abstract: | Reinforced concrete (RC) structures are widespread globally, requiring systematic monitoring and proactive maintenance due to ageing, evolving demands and environmental exposure. Prolonging the service life of existing RC structures to meet modern requirements promotes sustainability by reducing waste, conserving resources and minimising environmental impact compared to demolition and new construction. However, their degradation and increased serviceability demands highlight the need for reliable, cost‐effective strengthening and monitoring strategies. This study presents a novel poststrengthening remote monitoring framework applied to an RC flooring system as a case study. It combines digital image correlation (DIC) and submicron indicators—two complementary technologies rarely combined in rehabilitation projects—to enable precise, noninvasive tracking and real‐time performance assessment. The experimental approach demonstrated that the two monitoring methods provided consistent results, with less than a 5% difference in strain and deflection measurements. The compatibility of old and new structural components was confirmed by a minimal strain differential (Δmax = 0.15 × 10−4), and the strengthened system remained well within serviceability limits, with deflection reaching 26 mm, which is 81% of the allowable maximum, and strain levels below 30% of design thresholds. These results validate the proposed monitoring approach as accurate, efficient and highly applicable to in situ rehabilitation projects. The novelty of this research lies in the integrated use of disparate digital technologies within a postrehabilitation monitoring strategy, enabling significant enhancement of structural reliability, support for early detection of anomalies and extension of the service life of ageing infrastructure, addressing a gap in traditional inspection practices. The proposed holistic, data‐driven framework ensures early detection of performance deviations, enhances structural reliability, reduces the risk of failure and extends the structural service life. The findings demonstrate the high efficiency and accuracy of the remote sensing approach, offering a sustainable and robust solution for long‐term infrastructure management and safety. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Engineering (2314-4912) is the property of Wiley-Blackwell 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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| Abstract: | Reinforced concrete (RC) structures are widespread globally, requiring systematic monitoring and proactive maintenance due to ageing, evolving demands and environmental exposure. Prolonging the service life of existing RC structures to meet modern requirements promotes sustainability by reducing waste, conserving resources and minimising environmental impact compared to demolition and new construction. However, their degradation and increased serviceability demands highlight the need for reliable, cost‐effective strengthening and monitoring strategies. This study presents a novel poststrengthening remote monitoring framework applied to an RC flooring system as a case study. It combines digital image correlation (DIC) and submicron indicators—two complementary technologies rarely combined in rehabilitation projects—to enable precise, noninvasive tracking and real‐time performance assessment. The experimental approach demonstrated that the two monitoring methods provided consistent results, with less than a 5% difference in strain and deflection measurements. The compatibility of old and new structural components was confirmed by a minimal strain differential (Δmax = 0.15 × 10−4), and the strengthened system remained well within serviceability limits, with deflection reaching 26 mm, which is 81% of the allowable maximum, and strain levels below 30% of design thresholds. These results validate the proposed monitoring approach as accurate, efficient and highly applicable to in situ rehabilitation projects. The novelty of this research lies in the integrated use of disparate digital technologies within a postrehabilitation monitoring strategy, enabling significant enhancement of structural reliability, support for early detection of anomalies and extension of the service life of ageing infrastructure, addressing a gap in traditional inspection practices. The proposed holistic, data‐driven framework ensures early detection of performance deviations, enhances structural reliability, reduces the risk of failure and extends the structural service life. The findings demonstrate the high efficiency and accuracy of the remote sensing approach, offering a sustainable and robust solution for long‐term infrastructure management and safety. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 23144904 |
| DOI: | 10.1155/je/1614037 |
