Dynamic mechanical properties, interface structure evolution and deformation behaviors of PVA-carbon fiber reinforced concrete with negative Poisson’s ratio design

Ma, Yanxuan; Zhao, Fei; Liu, Jin; Zhang, Yun; Xu, Yaqian; Zhang, Peng; Gao, Song; Zhang, Jian

doi:10.1016/j.conbuildmat.2023.131897

Cited by 5 publications

(1 citation statement)

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“…Carbon fiber is an excellent reinforcing concrete fiber with high tensile strength, stable chemical properties, and good electrical conductivity. It can effectively enhance toughness, delay cracking, and significantly reduce the resistivity of the matrix, resulting in the functionalization and upgrading of the material [ 8 , 22 ]. Bontea [ 23 ] investigated the ability of carbon fiber cement-based materials to detect damage under dynamic load.…”

Section: Introductionmentioning

confidence: 99%

Research on the Electrosensitivity and Electrothermal Properties of Intelligent High-Performance Concrete Materials

Zhang,

Sun,

Qian

et al. 2023

Materials

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In order to enhance traditional building materials, High-performance concrete (HPC) is being modified by adding carbon and basalt fibers with volume contents of 0.75–1.25% and 0.15–0.35%, respectively. The original mechanical properties are maintained while developing the material’s intelligent self-sensing and self-heating functions, which are tested for pressure sensitivity and bending sensitivity, and with electrothermal tests. The results demonstrate that carbon fiber can significantly reduce the matrix resistivity of high-performance concrete, reaching the percolation threshold at a content of 1%. The inclusion of basalt fibers in the material results in a decrease in resistivity. However, the addition of mixed fibers leads to improved mechanical–electrical sensitivity under compression and bending, with a positive hybrid effect. The optimal contents for carbon fiber and basalt are 0.75% and 0.3%, respectively. In electrothermal tests, the specimen can reach a temperature of 104.5 °C with a heating rate of 25.86 °C/h, indicating the potential for self-monitoring and the electric melting of ice and snow. These findings provide support for the intelligent improvement of building structures in the new era.

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Section: Introductionmentioning

confidence: 99%