Evaluation of stability of high rockfill embankment based on fuzzy mathematics

IF 1.5 Q2 COMPUTER SCIENCE, THEORY & METHODS
Yanqing Zhang, Hongjun Jing, Jun Dai
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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.
基于模糊数学的高堆石路堤稳定性评价
高填石路堤广泛应用于山区高等级公路,其稳定运行能显著促进交通和经济的发展。本文基于模糊数学理论,建立了高堆石路堤稳定性评价模型,实现了有效、快速的评价。考虑到代表性和易操作性,从路堤填料、边坡条件、水力条件、边坡防护等因素的不同角度确定了5个一级因子指标和16个二级因子指标。采用层次分析法对各因素指标进行权重分配,并根据稳定性等级采用模糊统计方法对各因素指标进行量化分类。结合信度理论对各因素指标的信度进行分析。最后,通过在陕西省旬阳至安康的316国道二级公路高堆石路堤工程中的应用,验证了所建模糊评价模型的合理性。结果表明,该高石料路堤的可靠度为0.8671,评价体系的最终得分为73.1619,表明该路堤具有稳定性。因此,本文提出的模糊评价模型对高堆石路堤的稳定性评价是合理可行的,可为今后的设计提供参考。
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来源期刊
CiteScore
2.80
自引率
23.10%
发文量
31
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.
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