Abstract:The main factor influencing the jacking force of pipe jacking are the nature of the soil, the size of the pipeline bending, the grouting lubrication, the thickness of the overlying soil, and the level of construction technology. At present, many simplifications and assumptions have been made for the calculation of jacking force of circular pipe jacking without considering the mechanical properties and thickness of the overlying soil. For the overlying soft as the soft soil layer and the base of pipe jacking as harder soil layer, there is a significant deviation between the empirical calculation formula and the measured value. Aiming at the shortcomings of the current empirical formula, a neural network is used to invert the average frictional resistance between the pipe and soil through a certain amount of measured frictional resistance data, and then the derived jacking force calculation formula considering soil arching effect is used to predict the jacking force, which is of great significance to reasonably arrange the subsequent work during construction, and control and reduce the calculation errors between the theoretical and actual jacking forces.
