[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()

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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

Author(s):

Shi Minglei;  Deng Xuejun;  Zhang Bo

College of Transportation, Southeast University, Nanjing 210096, China

Keywords:

large diameter bored piles;  principal component analysis;  artificial neural networks;  pile shaft resistance

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 I_L used to determine the consistency of silt-clay or silt-loam is not rational. It is more rational that the liquidity index I_L 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 I_L. The method of predicting the pile shaft resistance by the two indices of e and I_L, 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.

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.

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