Núñez-Temes Carlos, Bastos Guillermo, Arza-García Marcos, Castro Alberte, Lorenzana Fernández Jose Antonio, Ortiz-Sanz Juan, Portela María, Gil-Docampo Mariluz, Prego Francisco Javier
CIGEO - Civil and Geomatics Research Group, Agroforestry Engineering Department, University of Santiago de Compostela, Higher Polytechnic School (Lugo), 27002, Lugo, Spain.
PEMADE - Research Platform on Structural Wood Engineering, Agroforestry Engineering Department, University of Santiago de Compostela, Higher Polytechnic School (Lugo), 27002, Lugo, Spain.
Sci Rep. 2022 Jun 8;12(1):9491. doi: 10.1038/s41598-022-13176-3.
This study aims to introduce the use of 3D-digital image correlation (DIC) to the in situ testing of pavements and to support the development of techniques for a rapid evaluation of the conservation status of existing roads. Little research was found on this topic. The passage of a car wheel on an asphalt pavement was adopted as a case study. The DIC measurements were compared to those gathered by contact sensors. From a qualitative point of view, the DIC measurements captured the realistic shape of a deflection basin. From a quantitative point of view, the deflection values provided by the DIC system had a mean error of 0.015 mm and a standard deviation of 0.011 mm. At the moment of highest load, these errors had a mean value and standard deviation of - 0.016 mm and 0.021 mm, respectively. Thus, to improve the accuracy of the system, we propose modifying the camera support, speckle pattern, and control of natural light.
本研究旨在将三维数字图像相关技术(DIC)引入路面原位测试,并为快速评估现有道路养护状况的技术发展提供支持。关于这一主题的研究很少。以汽车车轮在沥青路面上的通过情况作为案例研究。将DIC测量结果与接触式传感器收集的结果进行了比较。从定性角度来看,DIC测量捕捉到了弯沉盆的实际形状。从定量角度来看,DIC系统提供的弯沉值平均误差为0.015毫米,标准差为0.011毫米。在最大荷载时刻,这些误差的平均值和标准差分别为-0.016毫米和0.021毫米。因此,为提高系统精度,我们建议改进相机支架、散斑图案和自然光控制。