| 粘土中桩侧摩阻力研究 |
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| 引用本文： | 石名磊,邓学钧,张波.粘土中桩侧摩阻力研究[J].东南大学学报,2004,20(4):498-502. |
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| 作者姓名： | 石名磊 邓学钧 张波 |
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| 作者单位： | 东南大学交通学院，南京210096 |
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| 摘 要： | 采用主成分分析方法, 就粘性土多指标反映其性质的规律进行了研究. 研究表明, 采用液性指数作为单一指标的传统粘性土物理状态划分方法, 在反映亚粘土和亚砂土性质时不尽合理. 而采用液性指数IL结合孔隙比e反映粉质粘土的特性更加合理. 同样,孔隙比e比液性指数IL能更好地描述亚粘土的天然特性. 采用人工神经网络结合主成分分析, 得出应用孔隙比e和液性指数IL两个指标来预测桩侧摩阻力更为精确. 同时发现在一定临界影响深度范围内(20～30 m), 桩侧摩阻力随深度的增加而增加, 且粘性土的稠度愈硬, 临界深度愈浅.
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| 关 键 词： | 大直径转孔灌注桩 主成分分析 人工神经网络 桩侧摩阻力 |
Study of pile shaft resistance in clayey soils |
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| Shi Minglei Deng Xuejun Zhang Bo.Study of pile shaft resistance in clayey soils[J].Journal of Southeast University(English Edition),2004,20(4):498-502. |
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| Authors: | Shi Minglei Deng Xuejun Zhang Bo |
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| Abstract: | Based on principal component analysis, the rules of clayey soil's behaviors affected by varied indices are studied. It is discovered that the common method of the single liquidity index IL used to determine the consistency of silt-clay or silt-loam is not rational. It is more rational that the liquidity index IL combined with the void ratio e characterizes the behavior of silt-clay. Similarly the index of e depicts the nature of sandy loam more rationally than IL. The method of predicting the pile shaft resistance by the two indices of e and IL, which is more accurate, is obtained by the methodology of back propagation (BP) artificial neural networks combined with principal component analysis. It is also observed that the pile shaft resistance increases with the increase of depth within a critical affect-depth ranging from 20 to 30 m, and the harder the clayey soil consistency is, the shallower the critical depth is. |
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| Keywords: | large diameter bored piles principal component analysis artificial neural networks pile shaft resistance |
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