基于模糊信息优化处理法的膨胀土分类

Classification of expansive soil based on fuzzy information optimization disposal

针对膨胀土胀缩性“高低”划分属于模糊概念,应用模糊信息优化处理方法对国道G316公 路沿线某段膨胀土滑坡区域膨胀土进行分类。首先将22组土样的试验资料,按照二维正态信息扩 散公式分别建立液限、塑性指数、含水量和胀缩等级之间的模糊关系矩阵R,然后将10组验证土样 的液限、塑性指数和含水量按一维信息分配公式进行信息分配,求得原因集X0;最后通过两级模糊 近似推论得出了该10组土样的分类结果,并将其与灰色系统理论方法的分类结果进行比较,其中 7组的分类完全相同,而其余3组土样的分类精度则更高。结果表明该方法是一种有效的膨胀土 分类方法,可以为膨胀土的工程治理设计提供参考。

According to the fuzzy characteristics of swell-shrinking of expansive soil, the method of fuzzy information optimization disposal was applied to the classification of expansive soil in two landslide areas of G316 highway. In term of the two-dimension normal information pervasion formula, the fuzzy matrixes (R) between liquid limit, plastic index, water content and the grade of swell-shrinking for test data of 22 groups soil samples were established, and then liquid limit, plastic index and water content of 10 groups of test soil samples was distributed separately to cause assembly (X_0) according to one-dimension information distribution formula, and finally the classification results of the 10 groups of test soil samples were obtained. Compared with gray system theory, the classification results for 7 groups of test soil samples are as same as that of gray system theory, and the classification results of the other 3 groups of test soil samples are more exact. The results show this method is an effective measurement for the classification of expansive soil, and it can also provide a reference for engineering harness design of expansive soil.