人民长江Issue(4)：59-62,4.DOI:10.16232/j.cnki.1001-4179.2015.04.014
基于主成分分析法的黏土分散性评价模型构建
Establishment of clay dispersion degree evaluation model based on principal component analysis
摘要
Abstract
In order to evaluate the dispersion degree of clay, based on the influential factors such as the physical, chemical and mineralogical indicators, the evaluation model is established according to principal component analysis ( PCA) method. The dispersion degree of 12 groups of clay sample is evaluated by this model. The results indicate that the dispersion degree of No. 3 soil sample is the largest because the content of montmorillonite is the highest and the sodium-ion and the total soluble salt are higher;on the contrary, the dispersion degree of No. 6 soil sample is the smallest, because the content of montmorillonite is the lowest and the sodium-ion and the total soluble salt are relatively smaller, also the organic matter and clay content is relatively large. The above results are consistent with the experimental ones. This method provides a theoretical basis for dispersive soil modification.关键词
主成分分析法/分散性土/蒙脱石/标准变异/评价模型Key words
principal component analysis/dispersive soil/montmorillonite/standard variation/evaluation model分类
天文与地球科学引用本文复制引用
巨娟丽,樊恒辉,刘俊民..基于主成分分析法的黏土分散性评价模型构建[J].人民长江,2015,(4):59-62,4.基金项目
国家自然科学基金资助项目(51379177) （51379177）
