Graphene Steel Slag in Cement Composites: Piezoresistivity and Damage Monitoring

Abstract This study proposes a damage model for cement-based composites incorporating graphene and steel slag.Conducted piezoresistive experiments to analyze the effects of varying steel slag content and the synergistic interaction between graphene and steel slag on the piezoresistive properties. Selected the optimal mixture ratio for further investigation based on the results.An integrated damage monitoring methodology combining ultrasonic emission systems, electrical signal acquisition systems, and digital image correlation (DIC) was employed to track the internal damage evolution in cement-based composites in real time. This approach enables synergistic analysis of multi-source data, providing comprehensive characterization of both damage behavior and strain distribution.The results demonstrate that the proposed damage model effectively predicts internal damage evolution in cement-based composites under both monotonic and cyclic loading conditions, providing a reliable new methodology for early-stage failure warning in concrete structures.

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Publication Details

Journal
Engineering Research Express
Published
2026-10-28
DOI
https://doi.org/10.1088/2631-8695/aebae5
Primary Topic
Smart Materials for Construction
Type
article
Field-Weighted Citation Impact
0.00

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article

Graphene Steel Slag in Cement Composites: Piezoresistivity and Damage Monitoring

Kaiwen Fan, Wenhao Pan
Engineering Research Express
Smart Materials for Construction
article

Graphene Steel Slag in Cement Composites: Piezoresistivity and Damage Monitoring

Kaiwen Fan, Wenhao Pan
article en

Abstract

Abstract This study proposes a damage model for cement-based composites incorporating graphene and steel slag.Conducted piezoresistive experiments to analyze the effects of varying steel slag content and the synergistic interaction between graphene and steel slag on the piezoresistive properties. Selected the optimal mixture ratio for further investigation based on the results.An integrated damage monitoring methodology combining ultrasonic emission systems, electrical signal acquisition systems, and digital image correlation (DIC) was employed to track the internal damage evolution in cement-based composites in real time. This approach enables synergistic analysis of multi-source data, providing comprehensive characterization of both damage behavior and strain distribution.The results demonstrate that the proposed damage model effectively predicts internal damage evolution in cement-based composites under both monotonic and cyclic loading conditions, providing a reliable new methodology for early-stage failure warning in concrete structures.

Engineering Research Express
Shenyang Jianzhu University (CN)
National Natural Science Foundation of China
Industry, innovation and infrastructure
Openalex Percentile: Top 25%
Smart Materials for Construction
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Graphene Steel Slag in Cement Composites: Piezoresistivity and Damage Monitoring — Kaiwen Fan, Wenhao Pan · Engineering Research Express (2026) | TGRS Research Map | TGRS