Open AccessStatistical Prediction and Analysis on Parameters of Vibrating Sinking Pipe Gravel Pile Machines
Author(s) -
Yuan Tian,
Tu Chao
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1744/2/022131
Subject(s) - pile , drilling , foundation (evidence) , geotechnical engineering , yangtze river , linear regression , predictive modelling , engineering , regression analysis , geology , marine engineering , computer science , mechanical engineering , machine learning , archaeology , china , political science , law , history
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.