Study on the Accurate Measurement and Quantitative Evaluation Methods of Aggregate Surface Roughness
In this work, to quantitatively analyze the roughness of the surfaces of road aggregates, the contact measurement technique and contactless scanning technique were, respectively, used to capture the coordinate data of point clouds on the aggregate surface, which were then used to reconstruct the dig...
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Advances in Materials Science and Engineering |
| Online Access: | http://dx.doi.org/10.1155/2021/6611691 |
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| author | Luoke Li Meng Guo Cong Zeng |
| author_facet | Luoke Li Meng Guo Cong Zeng |
| author_sort | Luoke Li |
| collection | DOAJ |
| description | In this work, to quantitatively analyze the roughness of the surfaces of road aggregates, the contact measurement technique and contactless scanning technique were, respectively, used to capture the coordinate data of point clouds on the aggregate surface, which were then used to reconstruct the digital elevation models of aggregate particles. Then, the joint roughness coefficient (JRC) was used as an evaluation index, and the quantitative calculation methods of the two-dimensional (2D) contour line roughness and three-dimensional (3D) contour surface roughness of aggregate particles were, respectively, studied. Finally, the anisotropic characteristics and size effect of the roughness coefficients of aggregates with different lithologies were, respectively, investigated, based on which the practicability of the 3D roughness coefficient index was proven. The results demonstrate that the roughness of a road aggregate surface can be quantitatively described by the point cloud data. The 2D roughness of aggregate profile lines exhibits anisotropy, while the 3D roughness of the aggregate contour surface indicates the size effect. The subtle morphological changes of the surface textures of aggregates can be accurately described by the 3D joint roughness coefficient (JRC3D) calculated by the feature parameter method. |
| format | Article |
| id | doaj-art-2dffdb98500a4ec9a52c11dddba47953 |
| institution | OA Journals |
| issn | 1687-8434 1687-8442 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Materials Science and Engineering |
| spelling | doaj-art-2dffdb98500a4ec9a52c11dddba479532025-08-20T02:08:09ZengWileyAdvances in Materials Science and Engineering1687-84341687-84422021-01-01202110.1155/2021/66116916611691Study on the Accurate Measurement and Quantitative Evaluation Methods of Aggregate Surface RoughnessLuoke Li0Meng Guo1Cong Zeng2Faculty of Civil Engineering and Mechanics, Kunming University of Science and Technology, Kunming 650500, ChinaThe Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education, Beijing University of Technology, Beijing 100124, ChinaSchool of Civil Engineering and Architecture, Northeast Electric Power University, Jilin 132012, ChinaIn this work, to quantitatively analyze the roughness of the surfaces of road aggregates, the contact measurement technique and contactless scanning technique were, respectively, used to capture the coordinate data of point clouds on the aggregate surface, which were then used to reconstruct the digital elevation models of aggregate particles. Then, the joint roughness coefficient (JRC) was used as an evaluation index, and the quantitative calculation methods of the two-dimensional (2D) contour line roughness and three-dimensional (3D) contour surface roughness of aggregate particles were, respectively, studied. Finally, the anisotropic characteristics and size effect of the roughness coefficients of aggregates with different lithologies were, respectively, investigated, based on which the practicability of the 3D roughness coefficient index was proven. The results demonstrate that the roughness of a road aggregate surface can be quantitatively described by the point cloud data. The 2D roughness of aggregate profile lines exhibits anisotropy, while the 3D roughness of the aggregate contour surface indicates the size effect. The subtle morphological changes of the surface textures of aggregates can be accurately described by the 3D joint roughness coefficient (JRC3D) calculated by the feature parameter method.http://dx.doi.org/10.1155/2021/6611691 |
| spellingShingle | Luoke Li Meng Guo Cong Zeng Study on the Accurate Measurement and Quantitative Evaluation Methods of Aggregate Surface Roughness Advances in Materials Science and Engineering |
| title | Study on the Accurate Measurement and Quantitative Evaluation Methods of Aggregate Surface Roughness |
| title_full | Study on the Accurate Measurement and Quantitative Evaluation Methods of Aggregate Surface Roughness |
| title_fullStr | Study on the Accurate Measurement and Quantitative Evaluation Methods of Aggregate Surface Roughness |
| title_full_unstemmed | Study on the Accurate Measurement and Quantitative Evaluation Methods of Aggregate Surface Roughness |
| title_short | Study on the Accurate Measurement and Quantitative Evaluation Methods of Aggregate Surface Roughness |
| title_sort | study on the accurate measurement and quantitative evaluation methods of aggregate surface roughness |
| url | http://dx.doi.org/10.1155/2021/6611691 |
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