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Air-coupled ultrasonic assessment of concrete rail ties

机译:混凝土轨道带的空气耦合超声波评估

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摘要

This paper investigates a contactless non-destructive evaluation technology for fast and efficient condition assessment of concrete rail ties. Ultrasonic surface waves are generated in rail ties using an air-coupled ultrasonic transmitter and are sensed at another location along the tie using an array of micro-electromechanical system (MEMS) sensors. Concrete rail ties with different types of damage are evaluated. The measured signal data are visualized in time-space (t-x) and frequency-wavenumber (f-k) domains, and four signal parameters are derived. Signal parameters measured from the damaged ties are compared with those from undamaged/healthy ties to generate two- and four-dimensional decision spaces. Threshold decision boundaries separating healthy and damaged rail ties in the decision space are computed using the support vector machine (SVM) algorithm, and the ability of these decision spaces to distinguish between healthy and damaged rail ties is investigated using statistical data analysis. The results demonstrate that high quality signal data are obtained from concrete rail ties using the proposed air-coupled configuration. The four-dimensional decision space, which uses all four signal parameters together, can distinguish between healthy and damaged rail ties with accuracies of around 80 %.
机译:本文研究了混凝土轨道的快速高效条件评估的非接触式非破坏性评价技术。超声波表面波在轨道领带中使用空气耦合超声波发射器产生,并且使用微机电系统(MEMS)传感器阵列沿着系列的另一个位置感测。评估具有不同类型损坏的混凝土轨道。测量的信号数据在时间空间(T-X)和频率 - 波数(F-K)域中可视化,导出四个信号参数。与来自损坏的关系测量的信号参数与来自未损坏/健康关系的人进行比较,以产生两个和四维决策空间。使用支持向量机(SVM)算法计算分离在决策空间中的健康和损坏轨道关系的阈值决策边界,并且使用统计数据分析研究了这些决策空间来区分健康和损坏的轨道连接的能力。结果表明,使用所提出的空气耦合配置,从混凝土轨道连接获得高质量信号数据。使用全部四个信号参数的四维决策空间可以区分健康和损坏的轨道,精度约为80%。

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