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      Establishment of Rutting Model of Wheel-Tracking Test for Real-Time Prediction of Rut Depth of Asphalt Layers

      1 , 2 , 2 , 3 , 4 , 5
      Advances in Civil Engineering
      Hindawi Limited

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          Abstract

          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.

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          Most cited references44

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          Standard test methods of bitumen and bituminous mixtures for highway engineering

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            Technical specifications for construction of highway asphalt pavements

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              Application of regularized deconvolution technique for predicting pavement thin layer thicknesses from ground penetrating radar data

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                Author and article information

                Contributors
                Journal
                Advances in Civil Engineering
                Advances in Civil Engineering
                Hindawi Limited
                1687-8094
                1687-8086
                June 18 2021
                June 18 2021
                : 2021
                : 1-16
                Affiliations
                [1 ]School of Civil Engineering, Shandong Jiaotong University, Jinan 250357, China
                [2 ]School of Transportation, Southeast University, Nanjing 211189, China
                [3 ]College of Information Engineering, Fuyang Normal University, Fuyang 236041, China
                [4 ]College of Civil Science and Engineering, Yangzhou University, Yangzhou 225127, China
                [5 ]School of Highway and Architecture, Shandong Transport Vocational College, Weifang 261206, China
                Article
                10.1155/2021/5549891
                63885bd4-7bf2-4072-a42b-80cb7ebb421d
                © 2021

                https://creativecommons.org/licenses/by/4.0/

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