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Ultrasound data for laboratory calibration of an analytical model to calculate crack depth on asphalt pavements

机译：超声数据，用于分析模型的实验室校准，以计算沥青路面的裂缝深度

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This article outlines the ultrasound data employed to calibrate in the laboratory an analytical model that permits the calculation of the depth of partial-depth surface-initiated cracks on bituminous pavements using this non-destructive technique. This initial calibration is required so that the model provides sufficient precision during practical application. The ultrasonic pulse transit times were measured on beam samples of different asphalt mixtures (semi-dense asphalt concrete AC-S; asphalt concrete for very thin layers BBTM; and porous asphalt PA). The cracks on the laboratory samples were simulated by means of notches of variable depths. With the data of ultrasound transmission time ratios, curve-fittings were carried out on the analytical model, thus determining the regression parameters and their statistical dispersion. The calibrated models obtained from laboratory datasets were subsequently applied to auscultate the evolution of the crack depth after microwaves exposure in the research article entitled “Top-down cracking self-healing of asphalt pavements with steel filler from industrial waste applying microwaves” (Franesqui et al., 2017) .
机译：本文概述了用于在实验室中校准分析模型的超声数据，该模型允许使用这种非破坏性技术来计算沥青路面上部分深度的表面引发裂缝的深度。需要进行初始校准，以便模型在实际应用中提供足够的精度。超声波脉冲的传输时间是在不同沥青混合料（半致密沥青混凝土AC-S;用于薄层BBTM的沥青混凝土;和多孔沥青PA）的梁样品上测量的。通过可变深度的缺口模拟了实验室样品上的裂纹。利用超声传输时间比的数据，在分析模型上进行曲线拟合，从而确定回归参数及其统计离散度。从实验室数据集中获得的校准模型随后被用于研究微波暴露后裂纹深度的变化，该研究文章的标题为“使用微波从工业废料中填充沥青的沥青路面自上而下的裂缝自修复”（Franesqui等人。，2017）。

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