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Detectability of Delamination in Concrete Structure Using Active Infrared Thermography in Terms of Signal-to-Noise Ratio

机译:主动红外热成像技术在信噪比方面对混凝土结构分层的可检测性

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Detecting subsurface delamination is a difficult and vital task to maintain the durability and serviceability of concrete structure for its whole life cycle. The aim of this work was to obtain better knowledge of the effect of depth, heating time, and rebar on the detectability capacity of delamination. Experimental tests were carried out on a concrete specimen in the laboratory using Long Pulsed Thermography (LPT). Six halogen lamps and a long wavelength infrared camera with a focal plane array of 640 × 480 pixels were used as the heat source and infrared detector, respectively. The study focused on the embedded imitation delaminations with the size of 10 cm × 10 cm × 1 cm, located at depths varying from 1 to 8 cm. The signal-to-noise ratio (SNR) was applied as a criterion to assess the detectability of delamination. The results of this study indicate that as the provided heating time climbed, the SNR increased, and the defect could be identified more clearly. On the other hand, when using the same heating regime, a shallow delamination displayed a higher SNR than a deeper one. The moderate fall of the SNR in the case of imitating defect located below reinforced steel was also observed. The absolute contrast was monitored to determine the observation time, and the nondimensional prefactor k was empirically proposed to predict the depth of delamination. The mean absolute percentage error (MAPE) was used to quantitatively evaluate the difference between forecasted and real depth, which evaluation confirmed the high reliability of the estimated value of the prefactor k .
机译:要检测混凝土结构的整个生命周期的耐久性和可维修性,检测地下表面的分层是一项艰巨而重要的任务。这项工作的目的是更好地了解深度,加热时间和钢筋对分层的可检测能力的影响。使用长脉冲热成像(LPT)在实验室中对混凝土样品进行了实验测试。六个卤素灯和一个焦平面阵列为640×480像素的长波长红外摄像机分别用作热源和红外探测器。该研究集中在尺寸为10厘米×10厘米×1厘米,深度从1到8厘米不等的嵌入式模仿分层中。信噪比(SNR)作为评估分层可检测性的标准。这项研究的结果表明,随着提供的加热时间的增加,SNR会增加,并且可以更清楚地识别出缺陷。另一方面,当使用相同的加热方式时,较浅的分层显示的SNR比较深的分层高。在模拟缺陷位于钢筋下方的情况下,SNR也会适度下降。监测绝对对比度以确定观察时间,并根据经验提出无量纲系数k来预测分层深度。平均绝对百分比误差(MAPE)用于定量评估预测深度与实际深度之间的差异,该评估证实了因子k的估计值具有很高的可靠性。

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