文章基本信息

标题：Factors Affecting Slope Reinforcement Based on Data Mining Algorithm
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作者：Lin Huang ; Fengyin Liu ; Thi Thuy Hoa Phan 等
期刊名称：Nature, Environment and Pollution Technology
印刷版ISSN：0972-6268
出版年度：2019
卷号：18
期号：5
页码：1515-1520
语种：English
出版社：Technoscience Publications
摘要：To change the design complexity of the conventional pile anchored bolt retaining wall, a method based on genetic algorithm was proposed to optimize the design of the retaining wall of the soil slope. According to the basic principle of genetic algorithm, a mathematical model for the optimization of double fulcrum pile anchor retaining wall was established. Taking the comprehensive cost per meter of anchor retaining wall as objective function, various strength and structural requirements of pile-anchor retaining wall were taken as constraints. Through the engineering example analysis, it was proved that the genetic algorithm can better solve the partial solution problem of traditional optimization. The design results show that this method can not only optimize the design variables intelligently, but also get a safe, reliable and cost-effective design. It is concluded that the slope reinforcement method based on data mining algorithm has some guiding significance for the optimization design of the whole bolt support structure.
关键词：Soil slope;Retaining wall;Genetic algorithm;Optimal design