工程地质学报Issue(6)：959-966,8.
“引江济汉”工程渠坡膨胀土分级评价量化模型研究
QUANTITATIVE MODEL FOR HIERARCHIC EVALUATION OF EXPAN-SIVE SOIL IN YANGTZE RIVER-HANJIANG RIVER WATER TRANSFER PROJECT
曾斌 1王青薇 1刘清秉 1黄定强 2董忠萍2
作者信息
- 1. 中国地质大学 武汉 430074
- 2. 湖北省水利水电勘测设计院 武汉 430064
- 折叠
摘要
Abstract
Swelling potential of expansive soil is controlled by many factors.So quantitative classification of expan-sive soil is always a problem and is not solved well.This paper takes the expansive soil in the Water Transfer Pro-ject from the Yangtze River to Han River in middle scheme of the South-to-North Water Diversion Project as the research object.Through analysis of experimental datas,this paper gives the suggested value of classification stand-ard of the expansive soil.Based on three mathematical methods of artificial neural network model,the Fisher’s dis-criminant analysis and rough sets theory,comprehensive indexes are used to analyze the swelling potential of 40 ex-pansive soil samples.This paper determines the final classification results through comparative study of the three mathematical methods.According to the classification results and operation method of each mathematical method, based on the theory of relatively simple,easy to operate and easy to accept,this paper suggests that the Fisher’s discriminant analysis can be a priority to analyze the swelling potential of expansive soil.In addition,this paper also gives the suggested value of classification standard of montmorillonite content,which verifies the correctness of clas-sification results.The results of this paper provide a theoretical basis for the identification and classification of ex-pansive soil in the process of the rest of excavation.关键词
膨胀土分级评判/Fisher判别分析法/人工神经网络/粗糙集理论Key words
Hierarchic evaluation of expansive soil/Fisher’s discriminant analysis/Artificial neural network/Rough sets theory分类
建筑与水利引用本文复制引用
曾斌,王青薇,刘清秉,黄定强,董忠萍..“引江济汉”工程渠坡膨胀土分级评价量化模型研究[J].工程地质学报,2013,(6):959-966,8.
