Contribution Modeling on Condition Evaluation of Asphalt Pavement Using Uncertainty Measurement and Entropy Theory
In view of the deficiency that traditional pavement performance evaluation index did not consider the influence of their difference on weight, the grade of the evaluation index also did not take into account intermediate state and the impact of uncertainty on the evaluation results, a determination...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Advances in Materials Science and Engineering |
| Online Access: | http://dx.doi.org/10.1155/2021/9995926 |
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| _version_ | 1832563013176000512 |
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| author | Jue Li Hui Wei Yongsheng Yao Xin Hu Lei Wang |
| author_facet | Jue Li Hui Wei Yongsheng Yao Xin Hu Lei Wang |
| author_sort | Jue Li |
| collection | DOAJ |
| description | In view of the deficiency that traditional pavement performance evaluation index did not consider the influence of their difference on weight, the grade of the evaluation index also did not take into account intermediate state and the impact of uncertainty on the evaluation results, a determination method of pavement performance evaluation index weight based on entropy theory was developed. The unascertained measurement function of evaluation index was performed by left-half ladder distribution, and unascertained measurement matrix was obtained. The index weight was calculated by minimum entropy theory, and the practicability of this method was verified through a concrete example finally. The results show that there were different weights in different samples, which depended on index measurement function and were the overall characterization of comprehensive measurement of every index. The method which is based on the given weighting factor did not conform to the engineering facts. It was difficult to identify the importance of the pavement performance evaluation index in different samples. The balance of the various indexes is better to be considered in the proposed method, and the comprehensive situation of pavement performance is really reflected, which improves the evaluation of the reliability. |
| format | Article |
| id | doaj-art-585a70fbb4a343f1b07609633f89969e |
| institution | Kabale University |
| issn | 1687-8442 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Materials Science and Engineering |
| spelling | doaj-art-585a70fbb4a343f1b07609633f89969e2025-02-03T01:21:15ZengWileyAdvances in Materials Science and Engineering1687-84422021-01-01202110.1155/2021/9995926Contribution Modeling on Condition Evaluation of Asphalt Pavement Using Uncertainty Measurement and Entropy TheoryJue Li0Hui Wei1Yongsheng Yao2Xin Hu3Lei Wang4College of Traffic & TransportationSchool of Traffic & Transportation EngineeringCollege of Traffic & TransportationSchool of Civil EngineeringCollege of Traffic & TransportationIn view of the deficiency that traditional pavement performance evaluation index did not consider the influence of their difference on weight, the grade of the evaluation index also did not take into account intermediate state and the impact of uncertainty on the evaluation results, a determination method of pavement performance evaluation index weight based on entropy theory was developed. The unascertained measurement function of evaluation index was performed by left-half ladder distribution, and unascertained measurement matrix was obtained. The index weight was calculated by minimum entropy theory, and the practicability of this method was verified through a concrete example finally. The results show that there were different weights in different samples, which depended on index measurement function and were the overall characterization of comprehensive measurement of every index. The method which is based on the given weighting factor did not conform to the engineering facts. It was difficult to identify the importance of the pavement performance evaluation index in different samples. The balance of the various indexes is better to be considered in the proposed method, and the comprehensive situation of pavement performance is really reflected, which improves the evaluation of the reliability.http://dx.doi.org/10.1155/2021/9995926 |
| spellingShingle | Jue Li Hui Wei Yongsheng Yao Xin Hu Lei Wang Contribution Modeling on Condition Evaluation of Asphalt Pavement Using Uncertainty Measurement and Entropy Theory Advances in Materials Science and Engineering |
| title | Contribution Modeling on Condition Evaluation of Asphalt Pavement Using Uncertainty Measurement and Entropy Theory |
| title_full | Contribution Modeling on Condition Evaluation of Asphalt Pavement Using Uncertainty Measurement and Entropy Theory |
| title_fullStr | Contribution Modeling on Condition Evaluation of Asphalt Pavement Using Uncertainty Measurement and Entropy Theory |
| title_full_unstemmed | Contribution Modeling on Condition Evaluation of Asphalt Pavement Using Uncertainty Measurement and Entropy Theory |
| title_short | Contribution Modeling on Condition Evaluation of Asphalt Pavement Using Uncertainty Measurement and Entropy Theory |
| title_sort | contribution modeling on condition evaluation of asphalt pavement using uncertainty measurement and entropy theory |
| url | http://dx.doi.org/10.1155/2021/9995926 |
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