Dynamic Inversion Analysis of Structural Layer Modulus of Semirigid Base Pavement considering the Influence of Temperature and Humidity
This paper is aimed to solve the overlearning problem of the neural network algorithm used to calculate the asphalt concrete pavement structural modulus in reverse. The firefly algorithm was adapted to optimize the selection of support vector machine (SVM) parameters. Based on the optimized SVM mode...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
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| Series: | Advances in Civil Engineering |
| Online Access: | http://dx.doi.org/10.1155/2020/8899888 |
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| _version_ | 1850237628207595520 |
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| author | Bei Zhang Xu Zhang Yanhui Zhong Xiaolong Li Meimei Hao Jinbo Liu |
| author_facet | Bei Zhang Xu Zhang Yanhui Zhong Xiaolong Li Meimei Hao Jinbo Liu |
| author_sort | Bei Zhang |
| collection | DOAJ |
| description | This paper is aimed to solve the overlearning problem of the neural network algorithm used to calculate the asphalt concrete pavement structural modulus in reverse. The firefly algorithm was adapted to optimize the selection of support vector machine (SVM) parameters. Based on the optimized SVM model, a new method for dynamic inversion of the semirigid base asphalt concrete pavement structural layer modulus was presented. The results show that the absolute value of relative error of each layer modulus is not more than 3.73% by using the proposed method. Then, the influences of temperature and humidity on the inversion modulus of semirigid base asphalt concrete pavement in the seasonal frozen area were analyzed, and the correction formula of the inversion modulus was established. The paper is of practical significance for improving the safety performance of semirigid base pavement in the seasonal frozen area in China. |
| format | Article |
| id | doaj-art-13c1616bd56140bf8bc49bb75d37cde5 |
| institution | OA Journals |
| issn | 1687-8086 1687-8094 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Civil Engineering |
| spelling | doaj-art-13c1616bd56140bf8bc49bb75d37cde52025-08-20T02:01:42ZengWileyAdvances in Civil Engineering1687-80861687-80942020-01-01202010.1155/2020/88998888899888Dynamic Inversion Analysis of Structural Layer Modulus of Semirigid Base Pavement considering the Influence of Temperature and HumidityBei Zhang0Xu Zhang1Yanhui Zhong2Xiaolong Li3Meimei Hao4Jinbo Liu5College of Water Conservancy and Engineering, Zhengzhou University, Zhengzhou 450001, ChinaCollege of Water Conservancy and Engineering, Zhengzhou University, Zhengzhou 450001, ChinaCollege of Water Conservancy and Engineering, Zhengzhou University, Zhengzhou 450001, ChinaCollege of Water Conservancy and Engineering, Zhengzhou University, Zhengzhou 450001, ChinaCollege of Water Conservancy and Engineering, Zhengzhou University, Zhengzhou 450001, ChinaCollege of Water Conservancy and Engineering, Zhengzhou University, Zhengzhou 450001, ChinaThis paper is aimed to solve the overlearning problem of the neural network algorithm used to calculate the asphalt concrete pavement structural modulus in reverse. The firefly algorithm was adapted to optimize the selection of support vector machine (SVM) parameters. Based on the optimized SVM model, a new method for dynamic inversion of the semirigid base asphalt concrete pavement structural layer modulus was presented. The results show that the absolute value of relative error of each layer modulus is not more than 3.73% by using the proposed method. Then, the influences of temperature and humidity on the inversion modulus of semirigid base asphalt concrete pavement in the seasonal frozen area were analyzed, and the correction formula of the inversion modulus was established. The paper is of practical significance for improving the safety performance of semirigid base pavement in the seasonal frozen area in China.http://dx.doi.org/10.1155/2020/8899888 |
| spellingShingle | Bei Zhang Xu Zhang Yanhui Zhong Xiaolong Li Meimei Hao Jinbo Liu Dynamic Inversion Analysis of Structural Layer Modulus of Semirigid Base Pavement considering the Influence of Temperature and Humidity Advances in Civil Engineering |
| title | Dynamic Inversion Analysis of Structural Layer Modulus of Semirigid Base Pavement considering the Influence of Temperature and Humidity |
| title_full | Dynamic Inversion Analysis of Structural Layer Modulus of Semirigid Base Pavement considering the Influence of Temperature and Humidity |
| title_fullStr | Dynamic Inversion Analysis of Structural Layer Modulus of Semirigid Base Pavement considering the Influence of Temperature and Humidity |
| title_full_unstemmed | Dynamic Inversion Analysis of Structural Layer Modulus of Semirigid Base Pavement considering the Influence of Temperature and Humidity |
| title_short | Dynamic Inversion Analysis of Structural Layer Modulus of Semirigid Base Pavement considering the Influence of Temperature and Humidity |
| title_sort | dynamic inversion analysis of structural layer modulus of semirigid base pavement considering the influence of temperature and humidity |
| url | http://dx.doi.org/10.1155/2020/8899888 |
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