论文部分内容阅读
膨胀土的识别和分类,是一个在膨胀土处理过程中最重要的问题.以黏粒含量、粉粒含量、液限、塑限和塑性指数这5项指标作为模型判别因子建立膨胀土胀缩等级分类的Fisher判别分析模型.并且以膨胀土实测数据作为学习样本进行训练,建立Fisher判别函数对待测样本进行分类.研究结果表明:Fisher判别分析模型对膨胀土的胀缩等分类的判别性能较好,预测结果较客观,操作过程简单,为膨胀土胀缩等级的分类提供了一种新的方法,便于实际推广.
The identification and classification of expansive soil is one of the most important problems in the process of expansive soil treatment.Using five indicators of clay content, particle content, liquid limit, plastic limit and plasticity index as model discriminant factors, expansive soil expansion and contraction Fisher discriminant function was used to classify the samples to be tested.The results show that Fisher discriminant analysis model can discriminate the expansion and contraction of expansive soils better than others, Well, the prediction result is more objective and the operation process is simple, which provides a new method for the classification of the expansion and contraction scale of expansive soil, which is convenient for practical promotion.