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[1] 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. [doi:10.3969/j.issn.1003-7985.2004.04.021]
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Study of pile shaft resistance in clayey soils()
粘土中桩侧摩阻力研究
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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
20
Issue:
2004 4
Page:
498-502
Research Field:
Traffic and Transportation Engineering
Publishing date:
2004-12-30

Info

Title:
Study of pile shaft resistance in clayey soils
粘土中桩侧摩阻力研究
Author(s):
Shi Minglei Deng Xuejun Zhang Bo
College of Transportation, Southeast University, Nanjing 210096, China
石名磊 邓学钧 张波
东南大学交通学院, 南京 210096
Keywords:
large diameter bored piles principal component analysis artificial neural networks pile shaft resistance
大直径转孔灌注桩 主成分分析 人工神经网络 桩侧摩阻力
PACS:
U443.15
DOI:
10.3969/j.issn.1003-7985.2004.04.021
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.
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.

References:

[1] Shi Minglei. A study of capacity and settlement of LDBPS [D]. Nanjing: College of Transportation of Southeast University, 2001.(in Chinese)
[2] China Communications Highway Plan and Design Institute. JTJ 024 — 85 Principle of PRC communications specifications for design of ground base and highway bridge and culverts [S]. Beijing: China Communications Press, 1985.(in Chinese)
[3] Zhang Xiaoting, Fang Kaitai. Multivariate statistical analysis theory[M]. Beijing: Science Press, 1999.(in Chinese)
[4] Shi Minglei, Deng Xuejun, Liu Songyu. A study of LDBPs shaft skin friction for piles in cohesive soils [J]. Journal of Southeast University(English Edition), 2000, 19(1): 154-159.
[5] Feng Zhiliang, Shun Haitao, Wang Shujuan. Prediction of vertical ultimate bearing capacity of single pile by using artificial neural networks [J]. Journal of Tongji University, 1999, 27(4): 397-401.(in Chinese)

Memo

Memo:
Biography: Shi Minglei(1962—), male, doctor, associate professor, Mingleish@263.net.
Last Update: 2004-12-20