基于小样本的深层搅拌桩复合地基承载力可靠度分析

深层搅拌桩复合地基极限承载力的概率分布是进行可靠度分析的基础。但对于同一工程,由于复合地基载荷试验数据较少,无法利用传统数理统计的方法对其分布进行准确的概率分布分析。本文利用Monte-carlo法模拟深层搅拌桩极限承载力,并结合静载荷试验数据对概型分布的数字特征进行Bayes更新,得到符合实际的复合地基的概型分布。采用J-C法和Monte—carlo法进行可靠度指标计算,并对影响可靠度指标的影响因素进行了分析。

Probability distribution study on the bearing of deep mixing composite foundation based on small sample

Probability analysis bases on the probability distribution of the ultimate capacity of deep mixing composite foundation. To single project, because of the datum of the bearing capacity limited, it's impossible to analyze the probability distribution of the Ultimate Bearing of Deep mixing Composite by using traditional mathematical statistics methods. This paper put forward using Monte-carlo method to analyze the ultimate bearing capacity of deep mixing composite foundation. With the local datum, the proper probability distribution is obtained through Bayes method. The index of reliability of the deep mixing composite foundation is calculated with both JC method and Monte-carlo method. The influence factors on the reliability index are also analyzed.