工程地质学报2016，Vol.24Issue(6)：1103-1109,7.DOI:10.13544/j.cnki.jeg.2016.06.009
基于数据挖掘技术的滑带土抗剪强度预测
PREDICTION OF SHEAR STRENGTH OF SLIP ZONES USING DATA MINING TECHNOLOGY
渠孟飞 1谢强 1李朝阳 1贺建军1
作者信息
- 1. 西南交通大学地球科学与环境工程学院 成都 610031
- 折叠
摘要
Abstract
The data mining techniques were used to predict shear strength of slip zone soil.In order to define the qualitative and quantitative factors affecting the shear strength,the CHAID (Chi-squared Automatic Interaction Detector)method and correlation analysis were used to pretreat data.According to the result obtained by CHAID method the landslides are classified by sedimentary environment of slip bed.Based on the classification,the influencing factors were selected in the light of Pearson correlation coefficient.The correlation analysis result shows that the internal friction angle of slip zone is affected by different factors as the slip bed of different sedimentary environment.The cohesive force has no obvious relationship with the factors.Stepwise regression was carried out to establish regression model for internal friction angle.The regression equations are passed statistical test and of good fitting degree and prediction accuracy.The forecast equations for the actual project data have good performances.关键词
数据挖掘/抗剪强度预测/相关性分析/三峡库区Key words
Data mining/Shear strength prediction/Correlation analysis/Three Gorges area分类
建筑与水利引用本文复制引用
渠孟飞,谢强,李朝阳,贺建军..基于数据挖掘技术的滑带土抗剪强度预测[J].工程地质学报,2016,24(6):1103-1109,7.
