Research on Influencing Factors and Prediction Models of Discharge Capacity by Drainage Blind Pipe Blockage in Railway Tunnel
Drainage blind pipe blockage in railway tunnel is causing more serious problems,which affects the safety of tunnel structure and train operation.In order to explore the influence of drainage blind pipe blockage on discharge capacity,this paper analyzes the influences of cross-sectional blockage ratio,blockage interval and blockage section length on discharge capacity of drainage blind pipe through ANSYS/Fluent numerical simulation and model tests.This paper establishes a prediction model of blind pipe discharge capacity using a deep neural network optimized by Grey Wolf Optimizer algorithm,and proposes a two-stage training strategy for intelligent model.The results indicate that the cross-sectional blockage ratio and blockage length of the drainage blind pipe are key factors affecting the discharge capacity,and the discharge capacity of the blind pipe significantly decreases with the increase of the cross-sectional blockage ratio and blockage section length.When the cross-sectional blockage ratio is less than 50％,the influence of the blockage interval on discharge capacity is greater than that of the cross-sectional blockage ratio.However,when the cross-sectional blockage ratio is more than 50％,the influence of the cross-sectional blockage ratio on discharge capacity is greater than that of the blockage interval.The deep neural network optimized by Grey Wolf Optimizer algorithm can effectively predict the discharge capacity of blind pipes and verify the feasibility of this model in predicting the discharge capacity of blind pipes.The study results can provide a reference for the maintenance and management of railway tunnel drainage system.
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