Improvement of the method for increasing roughness of asphalt and cement-concrete surfaces of highways and airfields

Yang, Shilin; Krayushkina, Каteryna; Skrypchenko, Oleksandra; Ji, Junwen; Bieliatynskyi, Аndrii

doi:10.1007/s43452-023-00643-5

Cited by 1 publication

(1 citation statement)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Pavement section testing is the main basis for pavement quality testing [ 3 ]. Regular inspection of the road section can identify problems such as pavement level, rutting, lateral slope and structural depth in time for timely repair and maintenance to ensure the levelness and durability of the road [ 4 ]. In addition, through the detection of Pavement-Sections, the load-carrying capacity can also be evaluated to provide a basis for reasonable road maintenance and management decisions [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

Detection and Analysis of Pavement-Section Based on Laser Displacement Sensor

Han,

Xiong,

Liu

2023

Sensors

View full text Add to dashboard Cite

The section detection of the pavement is the data basis for measuring the road smoothness, rutting, lateral slope, and structural depth. The detection of the Pavement-Section includes longitudinal-section inspection and cross-section inspection. In this paper, based on multiple laser displacement sensors, fused accelerometers and attitude sensors, and using vehicle-mounted high-speed detection, we design a sensor-fused pavement section data acquisition method, establish the relevant mathematical model, and realize the automatic acquisition of pavement longitudinal and transverse sections. The acceleration sensor is filtered to improve the accuracy of data acquisition, and the error of the detection system is calculated and analyzed. Through the actual measurement, the vehicle-mounted high-speed pavement profile detection method adopted in this paper can not only accurately detect the profile of the pavement profile, but also improve the detection efficiency, providing a cost-effective detection mode for road surface detection.

show abstract

Section: Introductionmentioning

confidence: 99%