<p>This study focuses on the significant issue of improving Structural Health Monitoring (SHM) through nanotechnology. The enhancement of SHM is critical for ensuring the safety, reliability, and longevity of vital infrastructure. Nanomaterials like carbon nanotubes, graphene, and nanoparticles were utilized to create miniaturized, efficient sensors that outperform traditional technologies in sensitivity, accuracy, and reliability. The research employed advanced fabrication techniques to develop highly flexible nanosensors. These sensors, integrated with Internet of Things (IoT) platforms and data analytics, enable real-time monitoring and proactive maintenance. Key results include the creation of nanosensors with improved mechanical strength, conductivity, and sensitivity, as well as the ability to detect subtle structural changes such as strain and damage early on. The findings demonstrate that nanotechnology can significantly enhance SHM systems, particularly in terms of data acquisition, processing capabilities, and predictive maintenance. It finds that polypropylene/carbon nanotube composites exhibit similar gauge factors (~ 250) up to 0.20% strain, with PP/CNT-5 showing a substantial increase in gauge factor (1300) at 0.40% strain compared to PP/CNT-7 (400), suggesting higher sensitivity with lower CNT content. Additionally, stress–strain behavior in PVDF nanocomposites demonstrates enhanced mechanical properties due to nanofillers. A flexible sensor's resistance changes (ΔR/R0) reach 18.58 with 2.17% strain, showing linearity up to 1.67% strain before becoming nonlinear. These advancements promise to optimize maintenance schedules, reduce downtime, and lower repair costs across various sectors, including civil infrastructure, aerospace, and offshore structures. The novelty of this work lies in the integration of nanotechnology with IoT and data analytics, offering unprecedented capabilities for monitoring and maintaining critical infrastructure. This study goes beyond previous efforts by addressing challenges related to sensor fabrication, scalability, and real-world application, paving the way for safer and more resilient infrastructure systems. This research underscores the transformative potential of nanotechnology in SHM, highlighting its impact on future infrastructure maintenance and management strategies.</p>

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Nanotechnology-enabled structural health monitoring systems: a review

  • P.K.S. Bhadauria,
  • Shrikant M. Harle,
  • S. C.Sagane,
  • H. P. Nistane,
  • V. S. Gohatre,
  • S. P. Raut

摘要

This study focuses on the significant issue of improving Structural Health Monitoring (SHM) through nanotechnology. The enhancement of SHM is critical for ensuring the safety, reliability, and longevity of vital infrastructure. Nanomaterials like carbon nanotubes, graphene, and nanoparticles were utilized to create miniaturized, efficient sensors that outperform traditional technologies in sensitivity, accuracy, and reliability. The research employed advanced fabrication techniques to develop highly flexible nanosensors. These sensors, integrated with Internet of Things (IoT) platforms and data analytics, enable real-time monitoring and proactive maintenance. Key results include the creation of nanosensors with improved mechanical strength, conductivity, and sensitivity, as well as the ability to detect subtle structural changes such as strain and damage early on. The findings demonstrate that nanotechnology can significantly enhance SHM systems, particularly in terms of data acquisition, processing capabilities, and predictive maintenance. It finds that polypropylene/carbon nanotube composites exhibit similar gauge factors (~ 250) up to 0.20% strain, with PP/CNT-5 showing a substantial increase in gauge factor (1300) at 0.40% strain compared to PP/CNT-7 (400), suggesting higher sensitivity with lower CNT content. Additionally, stress–strain behavior in PVDF nanocomposites demonstrates enhanced mechanical properties due to nanofillers. A flexible sensor's resistance changes (ΔR/R0) reach 18.58 with 2.17% strain, showing linearity up to 1.67% strain before becoming nonlinear. These advancements promise to optimize maintenance schedules, reduce downtime, and lower repair costs across various sectors, including civil infrastructure, aerospace, and offshore structures. The novelty of this work lies in the integration of nanotechnology with IoT and data analytics, offering unprecedented capabilities for monitoring and maintaining critical infrastructure. This study goes beyond previous efforts by addressing challenges related to sensor fabrication, scalability, and real-world application, paving the way for safer and more resilient infrastructure systems. This research underscores the transformative potential of nanotechnology in SHM, highlighting its impact on future infrastructure maintenance and management strategies.