摘要
选取湖北省巴东县黄土坡1#崩滑体为研究对象,设计了滑带碎石土在不同含石量(40%、60%、80%)、不同含水率(11%、17%、23%)条件下的大型直剪试验。通过Matlab的数值拟合,随机-模糊理论的数值拟合和BP神经网络预测等方法对滑带土抗剪强度进行分析。确定滑带碎石土在不同含石量、不同含水率及不同级配条件下的抗剪强度参数,探讨选取滑带土抗剪强度参数的最优方法。
1^#slumped mass of Huangtupo in Badong County,Hubei Province was selected as the research object,a large direct shear test of slippery gravel soil under different stone contents(40%,60%,80%)and different water content(11%,17%,23%)was designed.The shear strength of sliding zone soil was analyzed by numerical fitting of Matlab,numerical fitting of random-fuzzy theory and BP neural network prediction to determine the shear strength parameters of the slippery gravel soil under different rock content,different water content and different grading conditions and discuss the optimal method for selecting the shear strength parameters of the sliding zone soil.
作者
李雷雷
滕伟福
张延利
刘猛
LI Leilei;TENG Weifu;ZHANG Yanli;LIU Meng(Faculty of Engineering China University of Geosciences,Wuhan 430074,China;Three Gorges Research Center for Geo-hazard,Ministry of Education,China University of Geosciences,Wuhan 430074,China)
出处
《低温建筑技术》
2019年第3期75-79,95,共6页
Low Temperature Architecture Technology
关键词
滑带土
抗剪强度
BP神经网络
随机-模糊理论
sliding zone soil
shear strength
back-propagation neural network
random-fuzzy theory
