Scholarlink

<p>The increasing demands of this modern infrastructure require greater structural performance and long-term sustainability while being cost-effective. For a long time, the quest for such construction materials required durable, intelligent, and cost-effective construction materials. The traditional cementitious materials are very common; however, they have some innate drawbacks: they crack rather easily, cannot self-heal, and lack some damage-monitoring mechanisms for its real-time assessment. Current solutions for structural health monitoring involve extrinsic sensors and wiring that are invasive and costly and do not provide integrated self-healing and damage detection predictivity. This research introduces the work on multi-functional carbon nanotube (CNT) infused smart cement capable of presenting enhanced mechanical performances, <i>in situ</i> damage sensing, and autonomous self-healing capabilities. Key methods used include: 1) chemical functionalization of CNT for better dispersion, bonding, and conductivity, which improves mechanical strength by 30% and electrical conductivity 10-fold; 2) CNT catalyzing microencapsulated self-healing system: more than 85% crack closure efficiency for cracks up to 0.5 mm; 3) three-dimensional printing with CNT infused cement, enabling the creation of complex geometries with embedded sensors, porosity control, and 20% greater structural integrity; 4) wireless damage monitoring using CNT-based antennas for crack detection below 0.1 mm and signal transmission over 50 m; and 5) artificial intelligence (AI)-enhanced predictive maintenance, achieving a prediction accuracy of 95%–98% in crack propagation and reducing maintenance costs by 30%. This novel integration of functionalized CNT, self-healing agents, wireless sensing, and AI-driven analytics simultaneously strengthens structural integrity while permitting sustainable, non-invasive, and scalable monitoring. What these results indicate is enhanced performance, cost-effectiveness, and longevity, making the technology transformative for the next generations of construction materials.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

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

  • 期刊论文

  • 发表日期：

    2025年9月20日

查看全文
  • Vikrant S. Vairagade

摘要

The increasing demands of this modern infrastructure require greater structural performance and long-term sustainability while being cost-effective. For a long time, the quest for such construction materials required durable, intelligent, and cost-effective construction materials. The traditional cementitious materials are very common; however, they have some innate drawbacks: they crack rather easily, cannot self-heal, and lack some damage-monitoring mechanisms for its real-time assessment. Current solutions for structural health monitoring involve extrinsic sensors and wiring that are invasive and costly and do not provide integrated self-healing and damage detection predictivity. This research introduces the work on multi-functional carbon nanotube (CNT) infused smart cement capable of presenting enhanced mechanical performances, in situ damage sensing, and autonomous self-healing capabilities. Key methods used include: 1) chemical functionalization of CNT for better dispersion, bonding, and conductivity, which improves mechanical strength by 30% and electrical conductivity 10-fold; 2) CNT catalyzing microencapsulated self-healing system: more than 85% crack closure efficiency for cracks up to 0.5 mm; 3) three-dimensional printing with CNT infused cement, enabling the creation of complex geometries with embedded sensors, porosity control, and 20% greater structural integrity; 4) wireless damage monitoring using CNT-based antennas for crack detection below 0.1 mm and signal transmission over 50 m; and 5) artificial intelligence (AI)-enhanced predictive maintenance, achieving a prediction accuracy of 95%–98% in crack propagation and reducing maintenance costs by 30%. This novel integration of functionalized CNT, self-healing agents, wireless sensing, and AI-driven analytics simultaneously strengthens structural integrity while permitting sustainable, non-invasive, and scalable monitoring. What these results indicate is enhanced performance, cost-effectiveness, and longevity, making the technology transformative for the next generations of construction materials.