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Asphalt pavement texture level and distribution uniformity evaluation using three-dimensional method

Show simple item record Dong, S Han, S
dc.contributor.editor Pasindu, HR
dc.contributor.editor Bandara, S
dc.contributor.editor Mampearachchi, WK
dc.contributor.editor Fwa, TF 2023-01-24T05:14:18Z 2023-01-24T05:14:18Z 2021
dc.identifier.citation ***** en_US
dc.description.abstract To supplement the research on the evaluationmethod of asphalt pavement texture, novel three-dimensional (3D) methods are proposed. First, pavement textures were measured in laboratory from asphalt mixture specimens using laser texture scanner (LTS), and the macro-texture and micro-texture were extracted based on spectrum analysis techniques. Then, macro-texture level evaluation indices f 8mac and f 9mac together with micro-texture level evaluation indices f 8mic and f 9mic were proposed based on the gray level co-occurrence matrix (GLCM) method, and the hyperparameters existing inGLCMwere discussed. Through the correlation analysis with mean texture depth (MTD) measured by sand patch method (SPM) and friction coefficient μ measured by walking friction tester (WFT), the optimum pavement texture level evaluation indices were determined. Additionally, the evaluation index σ of distribution uniformity of pavement texture (DUPT) was proposed based on the uniformity of deviations between sub-surfaces and the average surface of pavement texture. Finally, the correlations of σ with texture profiles were studied. The results show that f 8mac and f 8mic are the optimum indices for pavement texture level. MTD has significant correlation with f 8mac, and the correlation coefficient R is 0.9348; friction coefficient μ has significant correlation with f 8mic, and the R is 0.8030. The hyperparameters of GLCM selected in this study were proved effective. Moreover, the effectiveness of σ is also validated by calibratingwith standard grooved surface. It can be concluded that the proposed indices in this study are suitable to the evaluation of pavement texture level and pavement texture distribution. en_US
dc.language.iso en en_US
dc.publisher Springer en_US
dc.subject Highway engineering en_US
dc.subject Pavement texture en_US
dc.subject Gray level co-occurrence matrix en_US
dc.subject Three-dimensional evaluation index en_US
dc.subject Distribution uniformity en_US
dc.title Asphalt pavement texture level and distribution uniformity evaluation using three-dimensional method en_US
dc.type Conference-Full-text en_US
dc.identifier.faculty Engineering en_US
dc.identifier.year 2021 en_US
dc.identifier.conference Road and Airfield Pavement Technology en_US
dc.identifier.pgnos pp. 37-55 en_US
dc.identifier.proceeding Proceedings of 12th International Conference on Road and Airfield Pavement Technology, 2021 en_US en_US en_US
dc.identifier.doi en_US

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