Optimization of Metro Tunnel Maintenance Strategy Based on Improved Particle Swarm Algorithm
Journal Title: Urban Mass Transit - Year 2024, Vol 27, Issue 1
Abstract
[Objective] Maintenance strategy is the key factor influencing the lifetime service performance and maintenance cost of metro tunnel. Therefore, it is essential to develop more suitable optimization algorithms for maintenance strategies. [Method] A tunnel service performance degradation model is established based on Gamma process, and parametric assumptions are made for inspection schedule and maintenance activities. The improved particle swarm optimization (PSO) algorithm is proposed to solve the stochastic problem in maintenance strategy optimization mathematical model, and its effectiveness is verified through a comparison with gridded enumeration algorithm. The impact of different preventive maintenance thresholds and initial inspection time intervals on maintenance costs is analyzed. [Result & Conclusion] The improved PSO algorithm enhances the computational efficiency of optimizing metro tunnel maintenance strategies. Compared to the initial inspection time interval, the lifetime maintenance cost of metro tunnel is more sensitive to preventive maintenance threshold.
Authors and Affiliations
Yining GU, Qing AI, Yong YUAN
Keywords
Related Articles
- EP ID EP727691
- DOI 10.16037/j.1007-869x.2024.01.008
- Views 64
- Downloads 0
Design and Application of Portable Continuous Welded Rails Stress Homogenization Adjustment Device
［Objective］ In order to timely and accurately grasp the internal stress distribution of continuous welded rails (CWR) and reduce the investment of manpower and material resources in CWR stress adjustment operations, it...
Calculation Method of Crowd Density in the Local Area of Subway Station Platform
［Objective］ The calculation method of crowd density is the key to analyzing the risk of crowd gathering on subway station platforms. Usually, the internal density distribution is uneven when it is crowded, and there ar...
Collaborative Control of Virtual Formation Trains Based on Event Triggering Mechanism
［Objective］ In order to improve the transportation capacity of railway lines, make the trains form a stable virtual formation within the interval, and reduce the communication pressure during the entire marshaling proc...
Influence of Urban Rail Transit Carbody Vertical Vibration on Pantograph-catenary Current Collection Performance
Objective Most existing studies on catenary system dynamics simulation are based on the assumption that the pantograph base has only longitudinal degrees of freedom, neglecting the influence of carbody vertical vibration...
Prediction of Land Subsidence Caused by Shield Tunnel Construction with Joint CNN-LSTM Neural Network
Objective Metro shield tunnel construction may cause surrounding land subsidence, affecting the surrounding environment. Traditional land subsidence prediction models are difficult to comprehensively consider the influen...