Development of the Optimal Linear Model for Estimation of Jet Grouting Pile Diameter under a Bayesian Framework

Abstract

The estimation of column diameter related to the jet grouting systems is a challenging task in jet grouting design. A bunch of influencing factors has a close relationship with a jet grouting column, such as the resistance of surrounding soil, the jet grouting pressure, the number of nozzles, the lifting speed of the rod, etc. Due to the complicated mechanism associated with the jet grouting method, the existing methods cannot predict the column diameter very well. In the present study, a new empirical correlation equation was proposed to estimate the column diameter of jet grouting under the Bayesian framework based on a series of in situ test data from real practice. The selected best model using the Bayesian model selection can capture the characteristics of jet grouting diameter, and the estimated column diameters using the best model have better agreement with the measured data than the semi-theoretical methodology.