Establishment of Rutting Model of Wheel-Tracking Test for Real-Time Prediction of Rut Depth of Asphalt Layers
The construction process control of asphalt layers directly affects the road service life and quality. The objective of this study was to establish a rutting model of the wheel-tracking test used for the real-time prediction of the rut depth of asphalt layers in the construction process. The gradati...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
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| Series: | Advances in Civil Engineering |
| Online Access: | http://dx.doi.org/10.1155/2021/5549891 |
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| _version_ | 1849306374214778880 |
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| author | Yulong Zhao Ying Gao Ke Zhang Yao Zhang Mingce Yu |
| author_facet | Yulong Zhao Ying Gao Ke Zhang Yao Zhang Mingce Yu |
| author_sort | Yulong Zhao |
| collection | DOAJ |
| description | The construction process control of asphalt layers directly affects the road service life and quality. The objective of this study was to establish a rutting model of the wheel-tracking test used for the real-time prediction of the rut depth of asphalt layers in the construction process. The gradation of asphalt mixture, asphalt content, and molding temperature were considered in the development of the new rutting model of the wheel-tracking test. The effects of these three factors on the high-temperature performance of asphalt mixture were analyzed. The order of importance of the factors affecting the high-temperature performance of asphalt mixture is the gradation of asphalt mixture, asphalt-aggregate ratio, and molding temperature. Overall, the predicted values of the rut depth of the wheel-tracking test are very close to the measured values. Furthermore, the difference between the rut depths of asphalt layers of the test group and the control group is small. These comparison results indicate that the new rutting model of the wheel-tracking test has high accuracy and good applicability for the test road. |
| format | Article |
| id | doaj-art-2e03511a3cce4387bfb16ff3735953c2 |
| institution | Kabale University |
| issn | 1687-8086 1687-8094 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Civil Engineering |
| spelling | doaj-art-2e03511a3cce4387bfb16ff3735953c22025-08-20T03:55:07ZengWileyAdvances in Civil Engineering1687-80861687-80942021-01-01202110.1155/2021/55498915549891Establishment of Rutting Model of Wheel-Tracking Test for Real-Time Prediction of Rut Depth of Asphalt LayersYulong Zhao0Ying Gao1Ke Zhang2Yao Zhang3Mingce Yu4School of Civil Engineering, Shandong Jiaotong University, Jinan 250357, ChinaSchool of Transportation, Southeast University, Nanjing 211189, ChinaCollege of Information Engineering, Fuyang Normal University, Fuyang 236041, ChinaCollege of Civil Science and Engineering, Yangzhou University, Yangzhou 225127, ChinaSchool of Highway and Architecture, Shandong Transport Vocational College, Weifang 261206, ChinaThe construction process control of asphalt layers directly affects the road service life and quality. The objective of this study was to establish a rutting model of the wheel-tracking test used for the real-time prediction of the rut depth of asphalt layers in the construction process. The gradation of asphalt mixture, asphalt content, and molding temperature were considered in the development of the new rutting model of the wheel-tracking test. The effects of these three factors on the high-temperature performance of asphalt mixture were analyzed. The order of importance of the factors affecting the high-temperature performance of asphalt mixture is the gradation of asphalt mixture, asphalt-aggregate ratio, and molding temperature. Overall, the predicted values of the rut depth of the wheel-tracking test are very close to the measured values. Furthermore, the difference between the rut depths of asphalt layers of the test group and the control group is small. These comparison results indicate that the new rutting model of the wheel-tracking test has high accuracy and good applicability for the test road.http://dx.doi.org/10.1155/2021/5549891 |
| spellingShingle | Yulong Zhao Ying Gao Ke Zhang Yao Zhang Mingce Yu Establishment of Rutting Model of Wheel-Tracking Test for Real-Time Prediction of Rut Depth of Asphalt Layers Advances in Civil Engineering |
| title | Establishment of Rutting Model of Wheel-Tracking Test for Real-Time Prediction of Rut Depth of Asphalt Layers |
| title_full | Establishment of Rutting Model of Wheel-Tracking Test for Real-Time Prediction of Rut Depth of Asphalt Layers |
| title_fullStr | Establishment of Rutting Model of Wheel-Tracking Test for Real-Time Prediction of Rut Depth of Asphalt Layers |
| title_full_unstemmed | Establishment of Rutting Model of Wheel-Tracking Test for Real-Time Prediction of Rut Depth of Asphalt Layers |
| title_short | Establishment of Rutting Model of Wheel-Tracking Test for Real-Time Prediction of Rut Depth of Asphalt Layers |
| title_sort | establishment of rutting model of wheel tracking test for real time prediction of rut depth of asphalt layers |
| url | http://dx.doi.org/10.1155/2021/5549891 |
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