{"title":"Evaluation of stability of high rockfill embankment based on fuzzy mathematics","authors":"Yanqing Zhang, Hongjun Jing, Jun Dai","doi":"10.3233/JIFS-189898","DOIUrl":null,"url":null,"abstract":"High rockfill embankment is widely applied to high-grade highways in mountainous areas, and its stable operation can significantly promote traffic and economic development. In this study, a stability evaluation model of high rockfill embankment was constructed based on fuzzy mathematics theory to realize effective and rapid evaluation. Considering representativeness and easy operability, 5 level-1 factor indexes and 16 level-2 factor indexes were determined from different perspectives of embankment fillers, slope conditions, hydraulic conditions, slope protection, and other factors. Weights of different factor indexes were allocated using analytic hierarchy process and all factor indexes were quantified and classified using the fuzzy statistical method according to stability level. Reliabilities of factor indexes were combined with reliability theory for analysis. Finally, the reasonability of the proposed fuzzy evaluation model was verified through application in the high rockfill embankment engineering on the secondary highway of the National Highway 316 from Xunyang to Ankang in Shaanxi Province, China. Results demonstrate that the reliability of this high rockfill embankment is 0.8671 and the final score of the evaluation system is 73.1619, indicating stability. Therefore, the proposed fuzzy evaluation model is reasonable and feasible to evaluate stability of high rockfill embankment, and can provide references for future design.","PeriodicalId":44705,"journal":{"name":"International Journal of Fuzzy Logic and Intelligent Systems","volume":null,"pages":null},"PeriodicalIF":1.5000,"publicationDate":"2021-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Fuzzy Logic and Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/JIFS-189898","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, THEORY & METHODS","Score":null,"Total":0}
引用次数: 1
Abstract
High rockfill embankment is widely applied to high-grade highways in mountainous areas, and its stable operation can significantly promote traffic and economic development. In this study, a stability evaluation model of high rockfill embankment was constructed based on fuzzy mathematics theory to realize effective and rapid evaluation. Considering representativeness and easy operability, 5 level-1 factor indexes and 16 level-2 factor indexes were determined from different perspectives of embankment fillers, slope conditions, hydraulic conditions, slope protection, and other factors. Weights of different factor indexes were allocated using analytic hierarchy process and all factor indexes were quantified and classified using the fuzzy statistical method according to stability level. Reliabilities of factor indexes were combined with reliability theory for analysis. Finally, the reasonability of the proposed fuzzy evaluation model was verified through application in the high rockfill embankment engineering on the secondary highway of the National Highway 316 from Xunyang to Ankang in Shaanxi Province, China. Results demonstrate that the reliability of this high rockfill embankment is 0.8671 and the final score of the evaluation system is 73.1619, indicating stability. Therefore, the proposed fuzzy evaluation model is reasonable and feasible to evaluate stability of high rockfill embankment, and can provide references for future design.
期刊介绍:
The International Journal of Fuzzy Logic and Intelligent Systems (pISSN 1598-2645, eISSN 2093-744X) is published quarterly by the Korean Institute of Intelligent Systems. The official title of the journal is International Journal of Fuzzy Logic and Intelligent Systems and the abbreviated title is Int. J. Fuzzy Log. Intell. Syst. Some, or all, of the articles in the journal are indexed in SCOPUS, Korea Citation Index (KCI), DOI/CrossrRef, DBLP, and Google Scholar. The journal was launched in 2001 and dedicated to the dissemination of well-defined theoretical and empirical studies results that have a potential impact on the realization of intelligent systems based on fuzzy logic and intelligent systems theory. Specific topics include, but are not limited to: a) computational intelligence techniques including fuzzy logic systems, neural networks and evolutionary computation; b) intelligent control, instrumentation and robotics; c) adaptive signal and multimedia processing; d) intelligent information processing including pattern recognition and information processing; e) machine learning and smart systems including data mining and intelligent service practices; f) fuzzy theory and its applications.