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Effect of spatial correlation of standard penetration test (SPT) data on bearing capacity of driven piles in sand

机译:标准渗透试验(SPT)数据的空间相关性对砂土中打入桩承载力的影响

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摘要

In this paper, the effect of spatial correlation of standard penetration test (SPT) data on the bearing capacity of driven piles in sand is analyzed. First, the direct approach for using SPT data to determine the bearing capacity of piles in sand is used to derive the expressions for probabilistic prediction of pile bearing capacity by considering the spatial correlation of the SPT data. To analyze the relationship between the probability of failure and the factor of safety, a procedure based on the advanced first-order, second-moment (FOSM) method is used. Then parametric studies are conducted on the spatial correlation between the spatial average of SPT numbers over the pile length, NLV, and the spatial average of SPT numbers over an interval near the pile base, NbV, and its effect on the bearing capacity of piles. The results indicate that it is important to consider the spatial correlation between NLV and NbV in the probabilistic prediction of pile bearing capacity. Ignoring this spatial correlation will underestimate the probability of failure and lead to unsafe design. Finally, three tested piles are analyzed to demonstrate the probabilistic analysis of piles by considering the spatial correlation of SPT data and the procedure for probabilistic analysis of pile bearing capacity is summarized.
机译:本文分析了标准渗透试验(SPT)数据的空间相关性对砂土中打入桩承载力的影响。首先,直接利用SPT数据确定砂中桩的承载力的方法是通过考虑SPT数据的空间相关性来推导桩承载力的概率预测表达式。为了分析故障概率与安全因素之间的关系,使用了基于先进的一阶二阶矩(FOSM)方法的过程。然后对桩长上的SPT数的空间平均值NLV和桩基附近的间隔NbV上的SPT数的空间平均值之间的空间相关性及其对桩的承载力的影响进行参数研究。结果表明,在桩承载力的概率预测中考虑NLV和NbV之间的空间相关性很重要。忽略这种空间相关性会低估失败的可能性,并导致设计不安全。最后,通过考虑SPT数据的空间相关性,分析了三个受试桩,以证明桩的概率分析,并总结了桩承载力概率分析的过程。

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