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A methodology for structural health monitoring with diffuse ultrasonic waves in the presence of temperature variations

机译:在温度变化的情况下使用扩散超声波进行结构健康监测的方法

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Diffuse ultrasonic waves for structural health monitoring offer the advantages of simplicity of signal generation and reception, sensitivity to damage, and large area coverage; however, there are the serious disadvantages of no accepted methodology for analyzing the complex recorded signals and sensitivity to environmental changes such as temperature and surface conditions. Presented here is a methodology for applying diffuse ultrasonic waves to the problem of detecting structural damage in the presence of unmeasured temperature changes. This methodology is based upon the prediction and observation that the first order effect of a temperature change on a diffuse ultrasonic wave is a time dilation or compression. A multi-step procedure is implemented to (1) record a set of baseline waveforms from the undamaged specimen at temperatures spanning the expected operating range, (2) select a waveform. from the baseline set whose temperature is the closest to that of a subsequently measured signal, (3) adjust this baseline waveform to best match the signal, and (4) calculate an error parameter between the signal and the adjusted waveform and compare this parameter to a threshold to determine the structural status. This procedure is applied to experimental data from aluminum plate specimens with artificial flaws. Probability of detection and the minimum flaw size detected are presented as a function of the size of the baseline waveform set. It is shown that a probability of detection of over 95% can be achieved with a small number of baseline waveforms. (c) 2005 Elsevier B.V. All rights reserved.
机译:用于结构健康监测的扩散超声波具有以下优点:信号生成和接收简单,对损坏的敏感性以及大面积覆盖;但是,没有一个公认的方法来分析复杂的记录信号以及对环境变化(例如温度和表面条件)的敏感性存在严重的缺点。这里介绍的是一种在未测温度变化的情况下将扩散超声波应用于检测结构损坏问题的方法。该方法基于预测和观察,温度变化对弥散超声波的一级影响是时间膨胀或压缩。执行多步骤程序以(1)在跨越预期工作范围的温度下记录未损坏样品的一组基线波形,(2)选择波形。从温度最接近后续测量信号温度的基线集中,(3)调整该基线波形以最匹配该信号,(4)计算该信号与调整后的波形之间的误差参数并将该参数与确定结构状态的阈值。该程序适用于具有人工缺陷的铝板样品的实验数据。检测概率和检测到的最小缺陷大小是基线波形集大小的函数。结果表明,少量的基线波形可以实现超过95%的检测概率。 (c)2005 Elsevier B.V.保留所有权利。

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