基于CPTU测试数据管桩承载力预测新方法

运用模糊K-均值聚类算法,针对层状地基,建立基于CPTU测试数据的轴向受荷单桩承载力的预测模型,编制MATLAB程序并进行预测分析,考虑静力触探过程中沿桩长的全部连续记录数据,改进对奇异数据的处理方法,并与传统预测桩基承载力的CPT方法比较发现：该方法预测的桩基承载力更接近现场实测值,且精度更高.

CPTU-based New Method for Prediction of Pipe Pile Bearing Capacity

Based on the CPTU test data, the fuzzy K-means clustering algorithm was used to predict the bearing capacity of an axially loaded pile in a layered soil system. The relative calculation procedure was programmed and all the continuous data along the pile from the cone penetration test were considered. The method to deal with the singular data was improved. Compared with the other CPT methods, the conclusion indicates that better and more reasonable results in predicting the bearing capacity of single pile can be acquired using the method presented.