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Spatial Representation of GPR Data—Accuracy of Asphalt Layers Thickness Mapping
Remote Sensing ( IF 4.2 ) Pub Date : 2021-02-25 , DOI: 10.3390/rs13050864
Šime Bezina , Ivica Stančerić , Josipa Domitrović , Tatjana Rukavina

Information on pavement layer thickness is very important for determining bearing capacity, estimating remaining life and strengthening planning. Ground-penetrating radar (GPR) is a nondestructive testing (NDT) method used for determining the continuous pavement layer thickness in the travel direction. The data obtained with GPR in one survey line is suitable for the needs of repair and rehabilitation planning of roads and highways, but not for wider traffic areas such as airfield pavements. Spatial representation of pavement thickness is more useful for airfield pavements but requires a 3D model. In the absence of 3D GPR, a 3D model of pavement thickness can be created by additional processing of GPR data obtained from multiple survey lines. Five 3D models of asphalt pavements were created to determine how different numbers of survey lines affect their accuracy. The distance between survey lines ranges from 1 to 5 m. The accuracy of the 3D models is determined by comparing the asphalt layer thickness on the model with the values measured on 22 cores. The results, as expected, show that the highest accuracy is achieved for the 3D model created with a distance of 1 m between survey lines, with an average relative error of up to 1.5%. The lowest accuracy was obtained for the 3D model created with a distance of 4 m between the survey lines, with an average relative error of 7.4%.

中文翻译:

GPR数据的空间表示-沥青层厚度映射的准确性

路面层厚度的信息对于确定承载能力,估计剩余寿命和加强规划非常重要。探地雷达(GPR)是一种无损检测(NDT)方法,用于确定行进方向上的连续路面层厚度。用GPR在一条测量线中获得的数据适合于公路和高速公路的维修和恢复计划,但不适用于飞机场人行道等较宽的交通区域。路面厚度的空间表示对于飞机场路面更有用,但需要3D模型。在没有3D GPR的情况下,可以通过对从多条测量线获得的GPR数据进行额外处理来创建路面厚度的3D模型。创建了五个沥青路面3D模型,以确定不同数量的测量线如何影响其准确性。测量线之间的距离范围为1至5 m。通过将模型上的沥青层厚度与22个岩心上测得的值进行比较,可以确定3D模型的准确性。预期结果表明,在测量线之间相距1 m的情况下创建的3D模型实现了最高的精度,平均相对误差高达1.5%。对于在测量线之间4 m的距离创建的3D模型,获得的最低精度为7.4%的平均相对误差。预期结果表明,在测量线之间相距1 m的情况下创建的3D模型实现了最高的精度,平均相对误差高达1.5%。对于在测量线之间4 m的距离创建的3D模型,获得的最低精度为7.4%的平均相对误差。预期结果表明,在测量线之间相距1 m的情况下创建的3D模型实现了最高的精度,平均相对误差高达1.5%。对于在测量线之间4 m的距离创建的3D模型,获得的最低精度为7.4%的平均相对误差。
更新日期:2021-02-25
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