基于随机加权法的基桩承载力的可靠度分析
Reliability analysis of bearing capacity for piles based on random weighting method
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摘要: 在桩基工程中,由于经济和工期原因,试桩数据往往很少,试验数据的离散性较大,由此计算出的承载力可靠度指标的误差较大。基于随机加权法理论,将承载力的试计比(承载力的实测值和计算值的比)“提携”为工程中所需的大样本数据,并利用一次二阶矩法给出了可靠度的计算方法。最后通过算例分析表明:随着加权次数的增加,承载力的试计比变异系数就越小,说明 “ 提携 ” 后的数据越集中;另外,随着加权次数的增加,承载力的可靠度就越大,桩基础就越安全。因此,仅利用实测数据评价桩基安全是不合理的,会给工程带来安全隐患。Abstract: In pile foundation engineering, due to high cost and time limit for a project, the data of test piles are often scarce and the dispersion degree is very large, which makes the error of calculated results of reliability for piles very large. T he theory of the random weighting method is employed to improve the bias factor (the ration of measured value of calculated value) of bearing capacity for piles into big samples meeting the engineering requirements, and the formulation of reliability is presented by using the first-order second moment when the values of the bias factor are improved. The results from case study indicate that the variance of the bias factors become small when the times of weighing become large, which shows that the values are more concentrated. In addition, with the times of weighing increasing, the reliability index becomes large, which means that the pile foundation is much safer, therefore it is unreasonable to calculate the reliability only using the original values, thus the danger maybe exists in the projects.