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: Bei Zhang, Xu Zhang, Yanhui Zhong, Xiaolong Li, Meimei Hao, Jinbo Liu
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:Advances in Civil Engineering
Online Access:http://dx.doi.org/10.1155/2020/8899888
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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.
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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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