Multiple Regression Model for the Prediction of Unconfined Compressive Strength of Jet Grout Columns

Jet grouting is one of the most widely used techniques in soil improvement because of its possibility to strengthen cut-off groundwater and provide structural rigidity with a single application by this technique. The effectiveness of the jet grouting process influenced by many factors or application parameters such as soil properties, lifting (withdrawal) and rotation speed, grout/water/air pressure, etc. Jet grout column properties (diameter and mechanical properties) are the most important parameters for designing the project. There is still no credible method that can predict the properties of jet grout columns before field application, except extreme secured empirical rules and designers generally assume the characteristics of jet grout columns by perception. This process may cause waste of time and money due to inconsistency between assumed and observed properties of jet grout columns. In the present study, it was aimed to establish a model predicting the unconfined compressive strength of jet grout columns by using multiple linear regression analysis to overcome this problem.