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作 者:曾斌[1] 王青薇[1] 刘清秉[1] 黄定强[2] 董忠萍[2]
机构地区:[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
出 处:《工程地质学报》2013年第6期959-966,共8页Journal of Engineering Geology
摘 要:膨胀土的膨胀潜势由于受到诸多因素的控制,其量化分级长期以来都是一个未能得到很好解决的难题。本文以南水北调中线"引江济汉"工程渠坡膨胀土为研究对象,通过对试验数据的分析,给出了膨胀土分类的建议取值;依据该分类标准,综合人工神经网络、Fisher判别分析以及粗糙集理论3种数学方法,对40组土样的膨胀等级进行了综合性指标的判别分析,通过比较研究,确定了最终的分级结果;根据每种数学方法的判别结果与操作方法,基于理论相对简单、操作简便、易于为广大科研工作者接受的原则,建议优先考虑Fisher判别方法对膨胀土进行分级评判;结合样品的蒙脱石含量,给出了分级标准的建议值,验证了膨胀土分级数学方法的可靠性,从而为"引江济汉"工程后续开挖渠道段膨胀土的分类及判别提供了理论依据。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
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