Structural Health Monitoring of Infrastructures Using Sensors as Smart Materials– Review and Perspective

A. Dinesh
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引用次数: 6

Abstract

Abstract. Smart materials with sensors can monitor the structure's performance under external loading circumstances. They may also monitor internal deformations or damages caused by environmental factors such as temperature, humidity, etc. As a result, the sensors are linked to structural health monitoring to create automated systems for structural monitoring, inspection, and damage identification. The formulation of this review article was prompted by a growing interest in structural health monitoring and the need to ensure structure safety to detect problems early and avert collapse. The structure, measurement methods, and potential of sensors such as fiber optic, piezoelectric, corrosion, ceramic, and self-sensing cement composite utilized in the health monitoring of concrete structures are discussed in this review paper. This review also includes a brief and comparative analysis of various sensors, as well as the optimal number and location of sensors. The study exposed that choosing a suitable sensor is critical for accurate sensing and long-term structure monitoring. The sensor can detect physical (stress, strain) and chemical (corrosion) variables that affect the structure's endurance. Despite significant advances in damage monitoring approaches utilizing sensors, the study suggests that efficient sensor deployment remains problematic. The review revealed that the type of parameter to be monitored (stress, strain, humidity, etc.) and the structural and climatic conditions in which the sensor will be used determine the sensor's selection. As a result, a self-sensing cement composite based on carbon nanofiber (CNF) has been developed, which has good durability and compatibility with concrete structures. However, increasing the amount of CNF lowers the composite's compressive and flexural strength due to particle agglomeration. As a result, the review covers several sensors used in structural health monitoring with their measurements, applications, benefits, and limitations.
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利用传感器作为智能材料的基础设施结构健康监测——综述与展望
摘要带有传感器的智能材料可以监测结构在外部载荷情况下的性能。它们还可以监测由温度、湿度等环境因素引起的内部变形或损坏。因此,传感器与结构健康监测相关联,创建了用于结构监测、检查和损伤识别的自动化系统。由于对结构健康监测的兴趣日益浓厚,需要确保结构安全以及早发现问题并避免倒塌,这篇综述文章的撰写受到了推动。本文综述了光纤传感器、压电传感器、腐蚀传感器、陶瓷传感器和自传感水泥复合材料传感器在混凝土结构健康监测中的结构、测量方法和应用前景。这篇综述还包括对各种传感器的简要和比较分析,以及传感器的最佳数量和位置。研究表明,选择合适的传感器对精确传感和长期结构监测至关重要。该传感器可以检测影响结构耐久性的物理(应力、应变)和化学(腐蚀)变量。尽管利用传感器的损伤监测方法取得了重大进展,但研究表明,有效的传感器部署仍然存在问题。审查表明,要监测的参数类型(应力,应变,湿度等)以及传感器将使用的结构和气候条件决定了传感器的选择。因此,开发了一种基于碳纳米纤维(CNF)的自传感水泥复合材料,该材料具有良好的耐久性和与混凝土结构的相容性。然而,由于颗粒团聚,CNF用量的增加降低了复合材料的抗压和抗弯强度。因此,本文综述了几种用于结构健康监测的传感器及其测量、应用、优点和局限性。
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