Pile Foundation Detection Data Analysis and Classification Method

Luo Zhong, Bingqing Wu, Ruiqing Luo, Shujun Zhang, Zhaoyu Dong, Ye Lu
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Abstract

In this paper, by combing the collected testing data of pile bearing capacity from 78 reinforced concrete cast-in-place bored piles. The distribution characteristics of the pile bearing capacity are analyzed in detail. Based on this, the n-σ criteria are introduced and a more practical data processing method for bearing capacity of foundation piles is proposed. Using this method, the data of pile bearing capacity detected was analyzed and processed. Then the data was divided into "strong data", "good data" and "weak data". In addition, we verified the validity of this method to determine the detected data quality of pile bearing capacity through engineering examples. The verification shows that the data quality has a significant influence on the calculation results of the reliability index and the resistance coefficient.
桩基检测数据分析与分类方法
本文通过对收集到的78根钢筋混凝土钻孔灌注桩的桩承载力测试数据进行梳理。详细分析了桩基承载力的分布特征。在此基础上,引入n-σ准则,提出了一种更为实用的桩基承载力数据处理方法。利用该方法对桩基承载力检测数据进行了分析处理。然后将数据分为“强数据”、“好数据”和“弱数据”。此外,通过工程实例验证了该方法确定桩承载力检测数据质量的有效性。验证表明,数据质量对可靠性指标和阻力系数的计算结果有显著影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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