This manuscript presents a comprehensive exploration of Silicon Carbide-Graphite Cement Composites (SCGCCs) by investigating their mechanical, electrical, and self-sensing properties. The study systematically varies SiC and graphite content, leading to remarkable insights. In terms of mechanical strength, specimens S50G1 and S50 stand out, exhibiting impressive enhancements of 15.6 % and 9.8 % in compressive strength, respectively, showcasing the pivotal role of particle content in bolstering structural integrity. Electrical resistivity analysis uncovers a percolation threshold at 25 % SiC and 2 % graphite, resulting in a substantial 97 % reduction in resistivity. This critical finding underscores the delicate balance required for optimal conductive networks within the composite material. The self-sensing capabilities of SCGCCs under flexural stress reveal a synergistic effect between SiC and graphite, with specimen S25G2 displaying the lowest voltage drop. The compressive stress analysis unveils a distinctive conductive path reconstruction behavior, offering valuable insights into the material's response to varying stress levels. Advanced CT scan porosity analysis further refines our understanding, indicating a significant reduction in porosity from 4.2 % to 3.1 % in specimen S25. Furthermore, specimens with lower graphite and SiC proportions exhibit efficient void compaction, resulting in a well-integrated microstructure with porosity as low as 2.5 %. These findings not only contribute to the fundamental understanding of SCGCCs but also offer practical applications in smart materials and structural health monitoring. Moreover, the inherent advantage of real-time monitoring within the context of smart mortar extends to the prognostication of an advanced warning signal for impeding the complete failure of the smart concrete matrix.

本手稿通过研究碳化硅-石墨水泥复合材料（SCGCC）的机械、电气和自传感特性，对它们进行了全面的探索。该研究系统地改变了碳化硅和石墨的含量，得出了非凡的见解。在机械强度方面，样本 S50G1 和 S50 脱颖而出，抗压强度分别显着提高了 15.6% 和 9.8%，展示了颗粒含量在增强结构完整性方面的关键作用。电阻率分析揭示了 25% SiC 和 2% 石墨的渗透阈值，导致电阻率大幅降低 97%。这一重要发现强调了复合材料内最佳导电网络所需的微妙平衡。 SCGCC 在弯曲应力下的自感知能力揭示了 SiC 和石墨之间的协同效应，样本 S25G2 显示出最低的电压降。压缩应力分析揭示了独特的导电路径重建行为，为材料对不同应力水平的响应提供了有价值的见解。先进的 CT 扫描孔隙率分析进一步完善了我们的理解，表明样本 S25 的孔隙率从 4.2% 显着降低至 3.1%。此外，石墨和 SiC 比例较低的样品表现出有效的空隙压实，从而形成孔隙率低至 2.5% 的集成良好的微观结构。这些发现不仅有助于对 SCGCC 的基本理解，而且还为智能材料和结构健康监测提供了实际应用。 此外，智能砂浆背景下实时监控的固有优势延伸到了对阻止智能混凝土基体完全失效的提前警告信号的预测。