Sleeved waveguide ultrasonic sensor for monitoring concrete health

IF 5.7 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Structural Health Monitoring-An International Journal Pub Date : 2023-11-04 DOI:10.1177/14759217231191964
Wilson M Kairu, Michael J Gatari, Siphila W Mumenya, Prabhu Rajagopal
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Abstract

This article reports the development of a novel embedded waveguide ultrasonic sensor for detecting the onset of damage in reinforced concrete structures. A sleeved waveguide is proposed to confine guided ultrasonic waves in one-dimension, with leakage to the surrounding media only through specially created openings, thus reducing attenuation losses and enhancing the capability to inspect large structures from a single transducer location. The test frequency and mode are identified through modelling, and the interaction of leaky guided ultrasonic waves with delamination within the concrete volume is studied. Numerical simulations validated by experiments are used to study the changes in wave features such as mode velocity, wavelength and wave reflection in the delamination region, helping to estimate its location. Further simulation studies are carried out to demonstrate the possibility of using multiple waveguide sensors and sleeve openings to provide a full view of the concrete volume. The results are encouraging for practical long-range and large-scale monitoring of concrete volumes using the proposed sleeved waveguide ultrasonic sensors.
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用于监测混凝土健康状况的套管波导超声波传感器
本文报道了一种用于检测钢筋混凝土结构损伤开始的新型嵌入式波导超声传感器的研制。提出了一种套管波导,将引导超声波限制在一维范围内,仅通过专门创建的开口泄漏到周围介质,从而减少衰减损失并增强从单个换能器位置检测大型结构的能力。通过建模确定了试验频率和模态,研究了漏导超声与混凝土内部分层的相互作用。通过实验验证的数值模拟,研究了分层区的模态速度、波长和波反射等波特征的变化,有助于估计分层区的位置。进一步的模拟研究证明了使用多个波导传感器和套管开口来提供混凝土体积全景视图的可能性。这一结果对于使用所提出的套管式波导超声传感器进行混凝土体积的实际远程和大规模监测是令人鼓舞的。
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来源期刊
CiteScore
12.80
自引率
12.10%
发文量
181
审稿时长
4.8 months
期刊介绍: Structural Health Monitoring is an international peer reviewed journal that publishes the highest quality original research that contain theoretical, analytical, and experimental investigations that advance the body of knowledge and its application in the discipline of structural health monitoring.
期刊最新文献
Deep learning-based obstacle-avoiding autonomous UAVs with fiducial marker-based localization for structural health monitoring. Deep learning-based concrete defects classification and detection using semantic segmentation. Combination of active sensing method and data-driven approach for rubber aging detection Distributed fiber optic strain sensing for crack detection with Brillouin shift spectrum back analysis An unsupervised transfer learning approach for rolling bearing fault diagnosis based on dual pseudo-label screening
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