Predictive Study on Ultimate Bearing Capacity of Static Pressure Pipe Pile Based on Grey Support Vector Machine
Jianbin Zhao, Chao Xu, Yanyan Yan, Jianqiu Ma · 2012
The paper combines grey forecasting model and support vector machine together to predict the ultimate bearing capacity of single static pressure pipe pile based on their respective advantages. New model adopts the advantage of "accumulated generating", which is in grey forecasting method, to deal with the sample and reduce the influence of random disturbance factors in original sequence. It is more regular and also avoids theoretical defect, which is existed both in the grey forecasting method and the model. Choose appropriate kernel function and establish the grey support vector machine forecasting model for ultimate bearing capacity of static pressure pipe pile. The results show that the model referred in the paper has a better forecast accuracy and a good applicability, so it develops a newly approach for the theoretical analysis of vertical bearing behavior of static pressure pile, besides it provides reference and guidance for the research of related problems in the future.