Synergistic effects of hybrid fiber reinforcement and orientation on the conductivity and self-sensing properties of alkali-activated mortars
Year: 2026
Type: article
Abstract: Self-sensing concrete has attracted increasing attention as a multifunctional material with promising applications in intelligent infrastructure. This study introduces a synergistic strategy combining steel fibers (SFs) and nickel-coated carbon fibers (NCFs) with controlled orientation to enhance the conductivity and self-sensing performance of alkali-activated conductive mortars (AACMs). The effects of fiber hybridization and orientation on mechanical, electrical, and piezoresistive properties were systematically investigated. Parallel-oriented SFs significantly improved the mechanical performance, achieving compressive and flexural strength exceeding 100 MPa and 11 MPa, respectively, at only 0.4 vol.%. Incorporating 0.05 vol.% NCFs into parallel-oriented SF-reinforced AACM reduced resistivity from 4.7 × 10 3 Ω·cm to 8.15 Ω·cm, resulting in enhanced self-sensing performance. X-ray CT characterization quantified fiber alignment and dispersion through the orientation factor (α) and dispersion coefficient (β), revealing that fiber settlement in randomly oriented mixtures (β = 0.532) disrupted conductive networks. The application of a magnetic field not only contributed to fiber orientation but also enhanced fiber dispersion (α = 0.919, β > 0.7) in AACM. AC impedance spectroscopy confirmed reduced charge–transfer resistance at the fiber–matrix interface. These findings provide a feasible strategy for the design of multifunctional and sustainable AACMs with high conductivity and reliable self-sensing performance.
Language: English
Subfield: Pollution
Field: Environmental Science
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $4,540
Funders: Ministry of Science and Technology, National Natural Science Foundation of China, Guangdong Science and Technology Department, Bureau of Education of Guangzhou Municipality, Higher Education Discipline Innovation Project, Guangzhou Science and Technology Program key projects, Guangzhou Municipal Science and Technology Project
OpenAlex ID: W7127039702
