The work aims to study the erosion corrosion degree of π-shaped tube under different influence factors based on the situation of liquid-solid two-phase flow in pipeline. The model was determined as π-shaped tube due to little research on π-shaped tube. In order to solve the problem of erosion and wear failure of π-shaped tube in gas pipelines, DPM model and k-ε model in Ansys fluent software were used to carry out numerical simulation to study the impact of particles in liquid on π-tube wall when gas-liquid two-phase flow medium was introduced. The methods of controlling variables (flow velocity at the inlet of pipeline, mass flow rate of particles, particle diameter) were adopted. The effect of different parameters on wear of π-shaped tube was observed. π-shaped tube had corrosion in parts A and B. As the inlet velocity of the tube increases in a certain range, the overall maximum erosion rate also changed significantly and increased gradually. With the increase of solid particle size in a certain range, the overall maximum erosion rate also changed significantly and gradually decreased. As the mass flow rate of the tube increased in a certain range, the overall maximum erosion rate also changed significantly and increased gradually. The corrosion range at A is greater than that at B. The overall maximum erosion rate increases with the increase of velocity. The greater velocity leads to the stronger drag force of the fluid and the greater effect on the corrosion degree. The maximum erosion rate of the π-shaped tube increases with the growth of mass flow rate. The velocity growth and the maximum corrosion rate can be defined by linear growth, and there is a positive correlation. The mass flow rate of several groups of particles with different sizes is changed, and the overall maximum erosion rate has an approximately linear correlation with mass flow rate, which is a positive correlation. The maximum erosion rate of the π-shaped tube increases with the growth of particle diameter. The smaller particle diameter leads to the stronger particle capacity carried by the fluid and the stronger corrosion degree. By comparing and analyzing the corrosion degree of different parameters, it can be predicted that the most vulnerable corrosion locations are elbow A and elbow B.