| 基于BP神经网络冻融作用下细粒土抗剪强度的研究 |
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| 引用本文： | 赵惠新,吴志琴,李兆宇,郑美玉.基于BP神经网络冻融作用下细粒土抗剪强度的研究[J].水电能源科学,2012,30(4):32-33,78. |
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| 作者姓名： | 赵惠新 吴志琴 李兆宇 郑美玉 |
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| 作者单位： | 黑龙江大学水利电力学院,黑龙江哈尔滨,150080 |
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| 摘 要： | 针对目前冻土抗剪强度指标模型多为单一影响因素的模型现状，研究了冻土抗剪强度指标与密度、含水率、粘粒含量、易溶盐量、冻融循环次数等影响因素内在非线性关系，采用 BP神经网络方法，以Matlab为平台，采用自编程序对试验数据进行网络的学习和仿真。结果表明，该方法预测冻土冻融后抗剪强度指标效果较好。
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| 关 键 词： | 冻融作用 BP神经网络 细粒土 粘聚力 内摩擦角 |
Research on Shear Strength of Fine Grained Soil under Freeze thaw Action Based on BP Neural Network |
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| ZHAO Huixin,WU Zhiqin,LI Zhaoyu and ZHENG Meiyu.Research on Shear Strength of Fine Grained Soil under Freeze thaw Action Based on BP Neural Network[J].International Journal Hydroelectric Energy,2012,30(4):32-33,78. |
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| Authors: | ZHAO Huixin WU Zhiqin LI Zhaoyu and ZHENG Meiyu |
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| Affiliation: | (School of Hydraulic and Electric Power,Heilongjiang University,Harbin 150080,China) |
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| Abstract: | The model of shear strength indexes of frozen soil is single influencing factors model.This paper studies the inner nonlinear relationship between shear strength indexes of frozen soil and density,water content,clay content,soluble salt content and numbers of freeze-thaw cycle.BP neural network is applied to train and simulate experimental data with Matlab platform.The results show that the proposed method is a effective way to predict shear strength of frozen soil. |
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| Keywords: | freeze-thaw action BP neural network fine grained soil cohesive strength internal friction angle |
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