Damage Simulation and Ultrasonic Detection of Asphalt Mixture under the Coupling Effects of Water-Temperature-Radiation
In order to accurately simulate the performance changes of asphalt pavement in the hot rainy days, laboratory water-temperature-radiation cycle test is designed and carried out for the damage simulation of asphalt mixture under the environmental effect of rain, high temperatures, and sunshine. Ultra...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2013-01-01
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| Series: | Advances in Materials Science and Engineering |
| Online Access: | http://dx.doi.org/10.1155/2013/838943 |
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| author | Yong-chun Cheng Peng Zhang Yu-bo Jiao Ye-dan Wang Jing-lin Tao |
| author_facet | Yong-chun Cheng Peng Zhang Yu-bo Jiao Ye-dan Wang Jing-lin Tao |
| author_sort | Yong-chun Cheng |
| collection | DOAJ |
| description | In order to accurately simulate the performance changes of asphalt pavement in the hot rainy days, laboratory water-temperature-radiation cycle test is designed and carried out for the damage simulation of asphalt mixture under the environmental effect of rain, high temperatures, and sunshine. Ultrasonic detection method is used to determine the ultrasonic velocity of asphalt mixture specimen under different temperatures and water contents in the process of water-temperature-radiation cycles. Thus, we get the preliminary damage assessment. Splitting strength attenuation is defined as the damage parameter. In addition, the regression prediction models of the ultrasonic velocity and damage coefficient of asphalt mixture are constructed using the grey theory, neural network method, and support vector machine theory, respectively. We compare the prediction results of the three different models. It can be concluded that the model derived from the support vector machine possesses higher accuracy and stability, which can more satisfactorily reflect the relationship between ultrasonic velocity and damage coefficient. Therefore, the damage degree of the asphalt mixture can be obtained. |
| format | Article |
| id | doaj-art-40b74662eb3e48468e4df9966d1dffba |
| institution | Kabale University |
| issn | 1687-8434 1687-8442 |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Materials Science and Engineering |
| spelling | doaj-art-40b74662eb3e48468e4df9966d1dffba2025-08-20T03:55:35ZengWileyAdvances in Materials Science and Engineering1687-84341687-84422013-01-01201310.1155/2013/838943838943Damage Simulation and Ultrasonic Detection of Asphalt Mixture under the Coupling Effects of Water-Temperature-RadiationYong-chun Cheng0Peng Zhang1Yu-bo Jiao2Ye-dan Wang3Jing-lin Tao4College of Transportation, Jilin University, Changchun 130025, ChinaCollege of Transportation, Jilin University, Changchun 130025, ChinaCollege of Transportation, Jilin University, Changchun 130025, ChinaCollege of Transportation, Jilin University, Changchun 130025, ChinaCollege of Transportation, Jilin University, Changchun 130025, ChinaIn order to accurately simulate the performance changes of asphalt pavement in the hot rainy days, laboratory water-temperature-radiation cycle test is designed and carried out for the damage simulation of asphalt mixture under the environmental effect of rain, high temperatures, and sunshine. Ultrasonic detection method is used to determine the ultrasonic velocity of asphalt mixture specimen under different temperatures and water contents in the process of water-temperature-radiation cycles. Thus, we get the preliminary damage assessment. Splitting strength attenuation is defined as the damage parameter. In addition, the regression prediction models of the ultrasonic velocity and damage coefficient of asphalt mixture are constructed using the grey theory, neural network method, and support vector machine theory, respectively. We compare the prediction results of the three different models. It can be concluded that the model derived from the support vector machine possesses higher accuracy and stability, which can more satisfactorily reflect the relationship between ultrasonic velocity and damage coefficient. Therefore, the damage degree of the asphalt mixture can be obtained.http://dx.doi.org/10.1155/2013/838943 |
| spellingShingle | Yong-chun Cheng Peng Zhang Yu-bo Jiao Ye-dan Wang Jing-lin Tao Damage Simulation and Ultrasonic Detection of Asphalt Mixture under the Coupling Effects of Water-Temperature-Radiation Advances in Materials Science and Engineering |
| title | Damage Simulation and Ultrasonic Detection of Asphalt Mixture under the Coupling Effects of Water-Temperature-Radiation |
| title_full | Damage Simulation and Ultrasonic Detection of Asphalt Mixture under the Coupling Effects of Water-Temperature-Radiation |
| title_fullStr | Damage Simulation and Ultrasonic Detection of Asphalt Mixture under the Coupling Effects of Water-Temperature-Radiation |
| title_full_unstemmed | Damage Simulation and Ultrasonic Detection of Asphalt Mixture under the Coupling Effects of Water-Temperature-Radiation |
| title_short | Damage Simulation and Ultrasonic Detection of Asphalt Mixture under the Coupling Effects of Water-Temperature-Radiation |
| title_sort | damage simulation and ultrasonic detection of asphalt mixture under the coupling effects of water temperature radiation |
| url | http://dx.doi.org/10.1155/2013/838943 |
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