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弱膨胀土膨胀性判别与分级方法研究
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  • 英文篇名:Study on the Method of Distinguishing and Classifying the Expansibility of Weak Expansive Soil
  • 作者:王欢 ; 凡超文 ; 韩长玉
  • 英文作者:WANG Huan;FAN Chaowen;HAN Changyu;Henan University Laboratory for Recycled and Functional Building Materials;Henan University School of Civil Engineering and Architecture;
  • 关键词:弱膨胀土 ; 判别指标 ; 判别方法 ; 分级 ; 对比
  • 英文关键词:weak expansive soil;;discriminant index;;discriminant method;;grade;;compare
  • 中文刊名:HDZR
  • 英文刊名:Journal of Henan University(Natural Science)
  • 机构:河南大学循环与功能建材实验室;河南大学土木建筑学院;
  • 出版日期:2019-03-16
  • 出版单位:河南大学学报(自然科学版)
  • 年:2019
  • 期:v.49
  • 基金:河南省高等学校重点科研项目(18A580002);; 甘肃省交通运输厅科研项目(2013-07);; 开封市科技发展计划项目(1801004)
  • 语种:中文;
  • 页:HDZR201902017
  • 页数:7
  • CN:02
  • ISSN:41-1100/N
  • 分类号:112-118
摘要
针对弱膨胀土在路基工程中使用时的不同要求,可对弱膨胀土的膨胀性进行分级以方便采用不同的处治措施来减少经济损失.为避免使用单一判别因子判别法对弱膨胀土进行分级的不足,因此,以自由膨胀率、胀缩总率、塑性指数和小于0.002mm颗粒含量这4项作为判别指标,分别利用Bayes判别法、Fisher判别法和物元可拓判别法3种方法,建立相应的判别函数对弱膨胀土进行分级,将弱膨胀土的膨胀性分为强(G_1)、中(G_2)、微(G_3)3个等级,并对比3种方法.研究表明:这3种判别法都能较理想的用于弱膨胀土膨胀性的分级中,且相对于其他两种方法,Fisher判别法更方便、高效.
        For the different requirements of weak expansive soils used in subgrade engineering,the expansibility of weak expansive soils can be graded to facilitate the use of different treatment measures and to reduce economic losses.In order to avoid the disadvantage of using a single discriminant factor method to classify weak expansive soils,the four parameters of free expansivity,total shrinkage rate,plasticity index,and particle content less than 0.002 mm were used as the discriminant indicators.The three methods of Bayes discriminance,Fisher discriminance and matter-element extension discriminant were respectively used to establish the corresponding discriminant function to classify the weak expansive soil,and the expansibility of weak expansive soil was divided into strong(G_1),medium(G_2)and micro(G_3)three levels,then the three methods were compared.The results show that these three methods can be ideally used to classify the expansibility of expansive soils.In addition,the Fisher discriminant method is more convenient and efficient than the other two methods.
引文
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