Crack sensing in reinforced concrete beams and reinforced concrete pipes based on self-sensing cementitious sensors array

Abstract To enable the smart monitoring of crack sensing in reinforced concrete structures using self-sensing cementitious sensors (SSCSs), this study quantified crack information based on changes in the electrical signals of SSCS. The location of cracks was evaluated based on changes in the electrical signals of SSCS. Following this, for the first time, a crack sensing was conducted by embedding an SSCS array into the reinforced concrete pipes. Based on external load tests, both failure tests and cyclic loading tests were conducted on reinforced concrete pipes. The empirical model for crack width was established based on the fractional change in peak electrical resistivity (FCR P ) and the external load amplitude. The experimental results indicated: (1) the farther the crack was from the SSCS, the smaller the influence on the electrical signal changes of the SSCS. Therefore, the distance of the crack from the SSCS could be estimated by analyzing the changes in the fractional change in electrical resistivity (FCR); (2) for reinforced concrete pipes with existing cracks, both the FCR P and the residual FCR of the SSCS increased as the crack width and the amplitude of cyclic loading increased. These parameters could serve as indicators to determine whether a specific section of the concrete pipe has developed cracks; (3) an empirical model for crack width was developed based on the FCR P and the load amplitude. The proposed empirical model could effectively reflect the crack width in the concrete pipes by using the FCR P values from the SSCS array and the external load amplitude. This study presents a novel method for leakage monitoring in underground concrete pipes using an SSCS array, laying the foundation for their future application in underground concrete pipes.

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Publication Details

Journal
Smart Materials and Structures
Published
2024-12-27
DOI
https://doi.org/10.1088/1361-665x/ada3a9
Citations
2
Primary Topic
Smart Materials for Construction
Type
article
Field-Weighted Citation Impact
0.27
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article

Crack sensing in reinforced concrete beams and reinforced concrete pipes based on self-sensing cementitious sensors array

Yao Yao, Xianming Yu
2 citations
Smart Materials and Structures
Smart Materials for Construction
0.27
article

Crack sensing in reinforced concrete beams and reinforced concrete pipes based on self-sensing cementitious sensors array

Yao Yao, Xianming Yu
article en
2 citations

Abstract

Abstract To enable the smart monitoring of crack sensing in reinforced concrete structures using self-sensing cementitious sensors (SSCSs), this study quantified crack information based on changes in the electrical signals of SSCS. The location of cracks was evaluated based on changes in the electrical signals of SSCS. Following this, for the first time, a crack sensing was conducted by embedding an SSCS array into the reinforced concrete pipes. Based on external load tests, both failure tests and cyclic loading tests were conducted on reinforced concrete pipes. The empirical model for crack width was established based on the fractional change in peak electrical resistivity (FCR P ) and the external load amplitude. The experimental results indicated: (1) the farther the crack was from the SSCS, the smaller the influence on the electrical signal changes of the SSCS. Therefore, the distance of the crack from the SSCS could be estimated by analyzing the changes in the fractional change in electrical resistivity (FCR); (2) for reinforced concrete pipes with existing cracks, both the FCR P and the residual FCR of the SSCS increased as the crack width and the amplitude of cyclic loading increased. These parameters could serve as indicators to determine whether a specific section of the concrete pipe has developed cracks; (3) an empirical model for crack width was developed based on the FCR P and the load amplitude. The proposed empirical model could effectively reflect the crack width in the concrete pipes by using the FCR P values from the SSCS array and the external load amplitude. This study presents a novel method for leakage monitoring in underground concrete pipes using an SSCS array, laying the foundation for their future application in underground concrete pipes.

Smart Materials and StructuresVol. 34(2)
Xi'an University of Architecture and Technology (CN)
Sustainable cities and communities
Openalex Percentile: Top 51%
Smart Materials for Construction
0.27
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