Reliability analysis of serviceability limit state of foundation piles
considering uncertainties of parameter and model
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Reliability analysis of serviceability limit state of foundation piles
considering uncertainties of parameter and model
Vol. 35, Issue 11, (2014)
作者机构:
1. 华中科技大学 岩土与地下工程研究所,武汉,430074
2. 河南工业大学 土木建筑学院,郑州,450052
作者简介:
基金信息:
DOI:
CLC:TU473
Online First:10 December 2014,
Published:2014
稿件说明:
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BIAN Xiao-ya, ZHENG Jun-jie, XU Zhi-jun. Reliability analysis of serviceability limit state of foundation piles
considering uncertainties of parameter and model[J]. 2014, 35(11).
DOI:
BIAN Xiao-ya, ZHENG Jun-jie, XU Zhi-jun. Reliability analysis of serviceability limit state of foundation piles
considering uncertainties of parameter and model[J]. 2014, 35(11).DOI:
Reliability analysis of serviceability limit state of foundation piles
considering uncertainties of parameter and model
Taking into account the uncertainties of the calculation model of bearing capacity and the load
with the reliability analysis method and the theory of probability and statistics
the calculation formulas of reliability indices for ultimate limit state (ULS) and serviceability limit state (SLS) are obtained respectively. Meanwhile
the linear relationship between reliability indices for ULS and SLS is presented. Finally
it is studied that the impact of stochastic behaviors of limiting tolerable settlement of pile head ( ) on reliability analysis for SLS. The following conclusions can be drawn from this study. First
the influences of soil type and pile type on the model factor for SLS are slight. Second
the reliability index for SLS decreases with an increase of the uncertainties from the bearing capacity calculation model and the load
although the decrease rate gradually diminishes. And the total variation in the reliability index for SLS is limited
which means that it is reasonable to ignore the influences of the uncertainties from the bearing capacity calculation model and the load on the reliability analysis for SLS in engineering practice. Third
the stochastic behaviors of have significant effect on reliability analysis for SLS. The model factor and reliability index for SLS both increase with an increase of . However
the variability of model factor for SLS decreases with increase of . The appearance of these conclusions is simply because the requirements of are different
but is not the result that the pile own properties have run into some changes. The research results would provide a reference for code amendment and engineering applications.