Author
Abstract
The continuous monitoring and real-time feedback on the uniformity of the mixture after paving and compaction is important to guide the construction and improve the life of the asphalt pavement. Thus, in this study, the latest digital image technology was used to collect images of asphalt pavement after paving and compaction according to the set parameters. The images collected were preprocessed in steps such as binary grayscale, filtering, histogram, and small particle filtering, which established the method for calculating the construction depth HP of the digital images of pavement. Moreover, a method was proposed to evaluate the uniformity of asphalt pavement using the construction depth coefficient of variation. The coefficients of variation were computed based on 100 images of the dependent project and compared with the actual images. The results indicated that the construction depth coefficient of variation of the digital images obtained by the developed calculation procedure was in agreement with the actual situation and combined the correlation degree of the calculation results. Small areas of 42 are recommended as the division of the asphalt pavement compaction uniformity evaluation method based on construction depth variation, and the use of Cv4≥8.0 as the evaluation standard for the segregation of asphalt pavement is recommended. The method proposed is a new and rapid test to evaluate and detect the asphalt pavement uniformity.
Suggested Citation
Xiaodong Jia & Dan Huang, 2022.
"Evaluation of Compaction Uniformity of Asphalt Pavement Based on Construction Depth Variation,"
Journal of Applied Mathematics, Hindawi, vol. 2022, pages 1-9, December.
Handle:
RePEc:hin:jnljam:5732050
DOI: 10.1155/2022/5732050
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