Artificial intelligence-driven predictive modeling of multi-functional carbon nanotube infused smart cement for structural reinforcement and real-time damage sensing

In the field of civil engineering, cementitious materials serve as the core of modern infrastructure construction. However, traditional cementitious materials have inherent drawbacks: they are prone to cracking, lack self-healing capabilities, and have no built-in damage-monitoring mechanisms for real-time assessment. Current structural health monitoring solutions rely on extrinsic sensors and wiring, which are invasive, costly, and fail to integrate self-healing functions with damage detection