Statistical Prediction and Analysis on Parameters of Vibrating Sinking Pipe Gravel Pile Machines

Abstract

With the rapid development of highway engineering construction in our country, Vibrating Sinking Pipe gravel pile machines have been widely used in soft foundation treatment. The main parameters of the Vibrating Sinking Pipe gravel pile machine are composed of current value, drilling depth and drilling verticality. In this paper, through the analysis of the actual parameter data collected from the intelligent monitoring system of Vibrating Sinking Pipe gravel pile machines in Sichuan Yangtze River Industrial Park, the multiple linear regression prediction model is established by using the regression prediction method; and according to the comparison between the real data and the prediction data, the determination coefficient ranges from 0.83 to 0.95.