Highway Performance Evaluation Index in Semiarid Climate Region Based on Fuzzy Mathematics
Accurate evaluation and analysis of expressway pavement performance is a prerequisite for determining the pavement design scheme and maintenance scheme. Due to the fuzziness and randomness of many factors affecting the pavement performance, this paper relies on the reconstruction and expansion proje...
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Format: | Article |
Language: | English |
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Wiley
2019-01-01
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Series: | Advances in Materials Science and Engineering |
Online Access: | http://dx.doi.org/10.1155/2019/6708102 |
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author | Sanqiang Yang Meng Guo Xinlei Liu Pidong Wang Qian Li Haiqing Liu |
author_facet | Sanqiang Yang Meng Guo Xinlei Liu Pidong Wang Qian Li Haiqing Liu |
author_sort | Sanqiang Yang |
collection | DOAJ |
description | Accurate evaluation and analysis of expressway pavement performance is a prerequisite for determining the pavement design scheme and maintenance scheme. Due to the fuzziness and randomness of many factors affecting the pavement performance, this paper relies on the reconstruction and expansion project of Xinglin section of the Taihang mountain expressway, a method of highway pavement performance evaluation based on fuzzy mathematics is proposed. The results show the following: ① the study uses the factor domain, the comment level domain, the fuzzy relationship matrix, the evaluation factor full vector, and the fuzzy comprehensive evaluation result vector five-step method. The method can be effectively combined with the multi-index comprehensive detection index used in the specification. ② Based on the multi-index comprehensive test and evaluation adopted in the specification, the performance grade of the old road surface was quantitatively evaluated by the iterative calculation of fuzzy mathematics that broke through the evaluation mode which was based on the traditional detection methods. The research results provide innovative theoretical methods for the accurate evaluation and analysis of highway pavement performance in the semiarid climate region and also play a technical supporting role for the pavement design scheme and maintenance scheme decision-making in the semiarid climate region. |
format | Article |
id | doaj-art-4f8e99693da84552adfd7e456681e575 |
institution | Kabale University |
issn | 1687-8434 1687-8442 |
language | English |
publishDate | 2019-01-01 |
publisher | Wiley |
record_format | Article |
series | Advances in Materials Science and Engineering |
spelling | doaj-art-4f8e99693da84552adfd7e456681e5752025-02-03T07:24:45ZengWileyAdvances in Materials Science and Engineering1687-84341687-84422019-01-01201910.1155/2019/67081026708102Highway Performance Evaluation Index in Semiarid Climate Region Based on Fuzzy MathematicsSanqiang Yang0Meng Guo1Xinlei Liu2Pidong Wang3Qian Li4Haiqing Liu5Baoding City Road and Bridge Engineering Assembly Technology Key Laboratory, College of Civil Engineering and Architecture, Hebei University, Baoding, Hebei 071002, ChinaThe Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education, Beijing University of Technology, Beijing 100124, ChinaBaoding City Road and Bridge Engineering Assembly Technology Key Laboratory, College of Civil Engineering and Architecture, Hebei University, Baoding, Hebei 071002, ChinaBaoding City Road and Bridge Engineering Assembly Technology Key Laboratory, College of Civil Engineering and Architecture, Hebei University, Baoding, Hebei 071002, ChinaBaoding City Road and Bridge Engineering Assembly Technology Key Laboratory, College of Civil Engineering and Architecture, Hebei University, Baoding, Hebei 071002, ChinaThe Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education, Beijing University of Technology, Beijing 100124, ChinaAccurate evaluation and analysis of expressway pavement performance is a prerequisite for determining the pavement design scheme and maintenance scheme. Due to the fuzziness and randomness of many factors affecting the pavement performance, this paper relies on the reconstruction and expansion project of Xinglin section of the Taihang mountain expressway, a method of highway pavement performance evaluation based on fuzzy mathematics is proposed. The results show the following: ① the study uses the factor domain, the comment level domain, the fuzzy relationship matrix, the evaluation factor full vector, and the fuzzy comprehensive evaluation result vector five-step method. The method can be effectively combined with the multi-index comprehensive detection index used in the specification. ② Based on the multi-index comprehensive test and evaluation adopted in the specification, the performance grade of the old road surface was quantitatively evaluated by the iterative calculation of fuzzy mathematics that broke through the evaluation mode which was based on the traditional detection methods. The research results provide innovative theoretical methods for the accurate evaluation and analysis of highway pavement performance in the semiarid climate region and also play a technical supporting role for the pavement design scheme and maintenance scheme decision-making in the semiarid climate region.http://dx.doi.org/10.1155/2019/6708102 |
spellingShingle | Sanqiang Yang Meng Guo Xinlei Liu Pidong Wang Qian Li Haiqing Liu Highway Performance Evaluation Index in Semiarid Climate Region Based on Fuzzy Mathematics Advances in Materials Science and Engineering |
title | Highway Performance Evaluation Index in Semiarid Climate Region Based on Fuzzy Mathematics |
title_full | Highway Performance Evaluation Index in Semiarid Climate Region Based on Fuzzy Mathematics |
title_fullStr | Highway Performance Evaluation Index in Semiarid Climate Region Based on Fuzzy Mathematics |
title_full_unstemmed | Highway Performance Evaluation Index in Semiarid Climate Region Based on Fuzzy Mathematics |
title_short | Highway Performance Evaluation Index in Semiarid Climate Region Based on Fuzzy Mathematics |
title_sort | highway performance evaluation index in semiarid climate region based on fuzzy mathematics |
url | http://dx.doi.org/10.1155/2019/6708102 |
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