Stability Analysis of Earth-rock Dam Slopes based on Big Data Fuzzy Ant Colony Clustering

2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2019-03-15 DOI:10.1109/ITNEC.2019.8729524

Yang Yang, Haifeng Xu, Yongjun He, Zhihao Yin

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引用次数: 2

Abstract

The soil material, structure, construction, operation and management conditions are all influence affecting the stability of earth-rock dam slopes. The analogy and cluster analysis methods are usually used to solve such multi-influence analysis problems. The common statistical classification method has sensitivity to the calculation process and requires high data parameters, so it is difficult to obtain the optimal result. The ant colony clustering algorithm simulates the method used by ants to solve the optimal path problem through bionics theory, and can obtain better calculation results. Based on the ant colony algorithm, the fuzzy theory is introduced to optimize the parameters of the ant colony clustering process to realize the fuzzy ant colony clustering calculation of the stability of the earth-rock dam slopes. The calculation examples are validated by clustering method, simulated annealing algorithm and ant colony clustering method to prove the result and advantage of the proposed method.

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基于大数据模糊蚁群聚类的土石坝边坡稳定性分析

土石坝边坡的土质、结构、施工、运行管理等条件都是影响土石坝边坡稳定性的因素。通常采用类比和聚类分析方法来解决这类多影响分析问题。常用的统计分类方法对计算过程敏感，对数据参数要求高，难以获得最优结果。蚁群聚类算法通过仿生学理论模拟蚂蚁求解最优路径问题的方法，可以获得较好的计算结果。在蚁群算法的基础上，引入模糊理论对蚁群聚类过程参数进行优化，实现了土石坝边坡稳定性的模糊蚁群聚类计算。通过聚类方法、模拟退火算法和蚁群聚类方法对算例进行了验证，证明了所提方法的有效性和优越性。

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来源期刊

2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)

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