Bearing capacity efficiency mechanism analysis of jacked pile based on optical fiber sensing technology

KOU Hai-lei; ZHANG Ming-yi; LIU Jun-wei

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Bearing capacity efficiency mechanism analysis of jacked pile based on optical fiber sensing technology

更新时间：2026-06-25

- Bearing capacity efficiency mechanism analysis of jacked pile based on optical fiber sensing technology
- Vol. 34, Issue 4, (2013)
- 作者机构：
  
  青岛理工大学土木工程学院,山东,青岛,266033
- 作者简介：
- 基金信息：
- DOI：
  CLC： TU473
- Online First：16 April 2013，
  
  Published：2013
- 稿件说明：
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KOU Hai-lei, ZHANG Ming-yi, LIU Jun-wei. Bearing capacity efficiency mechanism analysis of jacked pile based on optical fiber sensing technology[J]. 2013, 34(4).
DOI：

KOU Hai-lei, ZHANG Ming-yi, LIU Jun-wei. Bearing capacity efficiency mechanism analysis of jacked pile based on optical fiber sensing technology[J]. 2013, 34(4). DOI：

摘要

在桩身预埋FBG（fiber bragg gating）光纤传感器，利用静压桩隔时复压试验的优势，观测开口PHC管桩的承载力、桩端阻力以及桩侧摩阻力随休止时间的变化情况。试验表明，桩极限承载力在沉桩结束一定时间范围内随时间大致呈对数型增长，沉桩284 h后提高幅度达140%，时效性系数为0.52；桩端阻力和桩侧摩阻力在休止期内的提高幅度分别为6.28%和475.37%，说明试验场地条件下试桩承载力的提高主要源于桩侧摩阻力。试验结果显示，桩极限承载力及桩侧摩阻力的发展符合3阶段增长模型，时间界点分别为21.5 h和279 h。研究成果可为基桩时效性研究及相关设计提供依据。

Abstract

The pile bearing capacity

base resistance and shaft resistance development of open PHC pipe pile can be confirmed through the interval re-pressed test of jacked pile with FBG sensors. It is indicated that the ultimate-bearing capacity shows logarithmic growth with elapsed time in the certain time after installation; and the magnitude is 140% after 284 hours with timeliness coefficient of 0.52. The increase magnitude of base resistance and shaft resistance is respectively 6.28% and 475.37% with time

which indicates that ultimate bearing capacity growth derives from shaft resistance in the test condition. The results show that the development of pile ultimate bearing capacity and shaft resistance accord with three-phase increase model and the time points are respectively 21.5 hours and 279 hours. respectively. The research results can provide evidence for timeliness coefficient and relevant design.

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