Piezoresistive Behavior and Applications of Graphene Oxide-Modified Concrete: Experimental and Simulation Study

To enable self-sensing capabilities in concrete structures for real-time health monitoring, this study investigates the incorporation of graphene oxide (GO) to develop smart concrete. The mechanical, electrical, and flexural-sensing properties of GO-concrete were systematically examined at both material and structural levels. The core finding of this research is the identification of an optimal GO content (0.09%) and the successful demonstration that a layered configuration of GO-concrete within beams functions as an excellent flexural sensor, providing precise electrical signal feedback for deformation and damage. Experimental results indicate that at this optimal content, the compressive strength and electrical conductivity were significantly enhanced, with a 17.67% increase in strength and a 32.28% decrease in initial electrical resistivity. Microstructural analysis revealed that this improvement stemmed from more complete cement hydration and reduced porosity. At the structural level, while GO had a negligible impact on the flexural load-bearing capacity of beams, it substantially improved the electrical resistivity’s responsiveness to applied load and deflection. The beam with a layered GO configuration exhibited the highest signal correlation. Furthermore, finite element simulations agreed well with experimental findings, revealing that the resistance change is intrinsically linked to crack propagation, which alters the length and cross-sectional area of the current path. This confirms the reliability of this material for structural monitoring applications.

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Publication Details

Journal
Buildings
Published
2025-11-26
DOI
https://doi.org/10.3390/buildings15234268
Primary Topic
Smart Materials for Construction
Type
article
Field-Weighted Citation Impact
0.00

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article

Piezoresistive Behavior and Applications of Graphene Oxide-Modified Concrete: Experimental and Simulation Study

Xintian Yang, Hui Liu, Lin Wang, Yixuan Chen et al.
Buildings
Smart Materials for Construction
article

Piezoresistive Behavior and Applications of Graphene Oxide-Modified Concrete: Experimental and Simulation Study

Xintian Yang, Hui Liu, Lin Wang, Yixuan Chen, Haili Sun, Xiaoping Su
article en

Abstract

To enable self-sensing capabilities in concrete structures for real-time health monitoring, this study investigates the incorporation of graphene oxide (GO) to develop smart concrete. The mechanical, electrical, and flexural-sensing properties of GO-concrete were systematically examined at both material and structural levels. The core finding of this research is the identification of an optimal GO content (0.09%) and the successful demonstration that a layered configuration of GO-concrete within beams functions as an excellent flexural sensor, providing precise electrical signal feedback for deformation and damage. Experimental results indicate that at this optimal content, the compressive strength and electrical conductivity were significantly enhanced, with a 17.67% increase in strength and a 32.28% decrease in initial electrical resistivity. Microstructural analysis revealed that this improvement stemmed from more complete cement hydration and reduced porosity. At the structural level, while GO had a negligible impact on the flexural load-bearing capacity of beams, it substantially improved the electrical resistivity’s responsiveness to applied load and deflection. The beam with a layered GO configuration exhibited the highest signal correlation. Furthermore, finite element simulations agreed well with experimental findings, revealing that the resistance change is intrinsically linked to crack propagation, which alters the length and cross-sectional area of the current path. This confirms the reliability of this material for structural monitoring applications.

BuildingsVol. 15(23)
Jilin Electric Power Research Institute (China) (CN), Changchun Institute of Technology (CN)
People's Government of Jilin Province
Openalex Percentile: Top 70%
Smart Materials for Construction
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