【摘要】 为了评价黏土的分散性程度,以影响黏土分散性的物理、化学及矿物学指标为基础,利用主成分分析法(PCA)建立了黏土分散性评价模型。运用该模型对12组黏土土样的分散性程度大小进行了评价。结果表明,3号土样的分散性程度最大,6号土样的分散性程度最小,这与室内试验的观测结果相吻合。3号土样分散性程度最大的原因主要是由于该土样中蒙脱石的含量最高;此外,其中Na+的含量和易溶盐总量也相对较高。相反,6号土样中蒙脱石的含量最低,易溶盐总量和Na+含量相对较小,有机质和黏粒含量相对较大。该方法为分散性土的改性提供了理论参考依据。更多还原

【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. 3soil 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.更多还原