Xiao Meng, Ju Feng, He Zequan, Ning Pai, Wang Tengfei, Wang Dong
State Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance of Deep Underground Engineering, China University of Mining and Technology, Xuzhou 221116, China.
School of Mechanics and Optoelectronic Physics, Anhui University of Science and Technology, Huainan 232002, China.
Materials (Basel). 2025 May 24;18(11):2467. doi: 10.3390/ma18112467.
Steel fibers (SFs) can form stable conductive networks in coal gangue-cemented composites (CGCCs), endowing CGCCs with excellent mechanical, electrical and self-sensing properties. Meanwhile, electrochemical impedance spectroscopy (EIS) provides a potential approach to evaluate the damage situation of SF-reinforced CGCC. In this paper, EIS responses of CGCCs with different SF content and damage levels were determined. An equivalent circuit was then explored, and the effect of the SF content and damage levels on its parameters was investigated. It was observed that CGCC with 0.8% SFs yielded the best result in terms of mechanical and self-sensing ability. In addition, damage such as microcracks primarily affects the conductive pathways induced by pores rather than those induced by SFs. More importantly, as a non-destructive method, the EIS technique is practical and promising for monitoring damage conditions of SF-reinforced CGCC in underground engineering.
钢纤维（SFs）能在煤矸石水泥基复合材料（CGCCs）中形成稳定的导电网络，赋予CGCCs优异的力学、电学和自传感性能。同时，电化学阻抗谱（EIS）为评估钢纤维增强CGCC的损伤情况提供了一种潜在方法。本文测定了不同钢纤维含量和损伤程度的CGCCs的EIS响应。然后探索了一个等效电路，并研究了钢纤维含量和损伤程度对其参数的影响。结果表明，含0.8%钢纤维的CGCC在力学性能和自传感能力方面取得了最佳效果。此外，微裂纹等损伤主要影响由孔隙诱导的导电路径，而非由钢纤维诱导的导电路径。更重要的是，作为一种无损检测方法，EIS技术在监测地下工程中钢纤维增强CGCC的损伤状况方面具有实用性和广阔前景。
