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探索有前景的传感器技术在混凝土结构健康监测中的潜力。

Exploring the Potential of Promising Sensor Technologies for Concrete Structural Health Monitoring.

作者信息

Shilar Fatheali A, Ganachari Sharanabasava V, Patil Veerabhadragouda B, Yunus Khan T M, Saddique Shaik Abdul, Azam Ali Mohammed

机构信息

Department of Civil Engineering, Jain College of Engineering, Belagavi 590001, Karnataka, India.

Center for Energy and Environment, School of Advanced Science, KLE Technological University, Hubballi 580031, Karnataka, India.

出版信息

Materials (Basel). 2024 May 17;17(10):2410. doi: 10.3390/ma17102410.

DOI:10.3390/ma17102410
PMID:38793477
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11122972/
Abstract

Structural health monitoring (SHM) is crucial for maintaining concrete infrastructure. The data collected by these sensors are processed and analyzed using various analysis tools under different loadings and exposure to external conditions. Sensor-based investigation on concrete has been carried out for technologies used for designing structural health monitoring sensors. A Sensor-Infused Structural Analysis such as interfacial bond-slip model, corroded steel bar, fiber-optic sensors, carbon black and polypropylene fiber, concrete cracks, concrete carbonation, strain transfer model, and vibrational-based monitor. The compressive strength (CS) and split tensile strength (STS) values of the analyzed material fall within a range from 26 to 36 MPa and from 2 to 3 MPa, respectively. The material being studied has a range of flexural strength (FS) and density values that fall between 4.5 and 7 MPa and between 2250 and 2550 kg/m. The average squared difference between the predicted and actual compressive strength values was found to be 4.405. With cement ratios of 0.3, 0.4, and 0.5, the shear strength value ranged from 4.4 to 5.6 MPa. The maximum shear strength was observed for a water-cement ratio of 0.4, with 5.5 MPa, followed by a water-cement ratio of 0.3, with 5 MPa. Optimizing the water-cement ratio achieves robust concrete (at 0.50), while a lower ratio may hinder strength (at 0.30). PZT sensors and stress-wave measurements aid in the precise structural monitoring, enhanced by steel fibers and carbon black, for improved sensitivity and mechanical properties. These findings incorporate a wide range of applications, including crack detection; strain and deformation analysis; and monitoring of temperature, moisture, and corrosion. This review pioneers sensor technology for concrete monitoring (Goal 9), urban safety (Goal 11), climate resilience (Goal 13), coastal preservation (Goal 14), and habitat protection (Goal 15) of the United Nations' Sustainable Development Goals.

摘要

结构健康监测（SHM）对于维护混凝土基础设施至关重要。这些传感器收集的数据在不同载荷和外部条件下，使用各种分析工具进行处理和分析。基于传感器对混凝土进行了研究，涉及用于设计结构健康监测传感器的技术。一种注入传感器的结构分析，如界面粘结滑移模型、锈蚀钢筋、光纤传感器、炭黑和聚丙烯纤维、混凝土裂缝、混凝土碳化、应变传递模型以及基于振动的监测。所分析材料的抗压强度（CS）和劈裂抗拉强度（STS）值分别在26至36MPa和2至3MPa范围内。所研究材料的抗弯强度（FS）和密度值范围分别在4.5至7MPa和2250至2550kg/m之间。预测抗压强度值与实际抗压强度值之间的平均平方差为4.405。水泥比为0.3、0.4和0.5时，抗剪强度值在4.4至5.6MPa范围内。水灰比为0.4时，最大抗剪强度为5.5MPa，其次是水灰比为0.3时，为5MPa。优化水灰比可实现混凝土的坚固性（水灰比为0.50时），而较低的水灰比可能会阻碍强度发展（水灰比为0.30时）。压电陶瓷（PZT）传感器和应力波测量有助于精确的结构监测，钢纤维和炭黑可增强监测效果，以提高灵敏度和力学性能。这些发现涵盖了广泛的应用，包括裂缝检测、应变和变形分析以及温度、湿度和腐蚀监测。本综述开创了用于联合国可持续发展目标中混凝土监测（目标9）、城市安全（目标11）、气候适应能力（目标13）、海岸保护（目标14）和栖息地保护（目标15）的传感器技术。

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