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小子样下基于Bayes推广理论的单桩竖向承载力研究 被引量:4

Estimation of Vertical Limiting Bearing Capacity of Single Pile Based on Bayes Generalization Theory in Small Sample Case
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摘要 为了更有效地确定小子样下单桩承载力的设计值,利用勘探阶段的静力触探资料,结合《建筑桩基技术规范》中的经验参数法,先使用Grubbs方法剔除基桩参数数据中的疏失误差数据,得到单桩竖向承载力的验前信息,然后根据静载荷试验结果对先验信息进行调整,得到关于单桩竖向承载力的验后信息。经比较分析,利用Bayes方法估算的单桩极限承载力更加精确,置信区间更加集中,从而为小子样条件下单桩竖向承载力设计值提供了理论参考依据。 In order to estimate the design value of vertical bearing capacity of single pile effectively, according to cone penetration test result in the exploration stage and empirical parameter method in technical code for building pile founda- tions, the Grubbs method is used to eliminate the error data in pile parameter, and the prior information of vertical ulti- mate bearing capacity of single pile is determined. And then the static load test results is adopted to adjuste the prior in- formation. Finally, it obtains the posteriori information about the vertical ultimate bearing capacity of single pile. Through comparative analysis, it finds out that the Bayes method is more precise to estimation of the design value of ver- tical bearing capacity of single pile, and the confidence interval is more concentrated, which provides the theoretical foun- dation for design of vertical bearing capacity of single pile in small sample condition.
作者 杜冰 卢迎华
出处 《水电能源科学》 北大核心 2013年第12期159-162,共4页 Water Resources and Power
基金 国家自然科学基金资助重点项目(11032005) 工程结构故障诊断重点实验室基金资助项目(200912145)
关键词 BAYES 小子样 Grubbs方法 单桩竖向承载力 Bayes small sample Gruhhs method vertical hearing capacity of single pile
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