ABSTRACT
The technology of jet grouting has been used for ground stabilization during construction of various structures for quite a long time. However, the task of developing effective methods of predicting actual geometric and physical-mechanical parameters of soil-cement columns is still urgent. Application of neural networks for assignment of ground-cement column diameters at the design stage can significantly increase the accuracy of assignment of design parameters of ground-cement columns and reduce the cost of design solutions
