Applying System Dynamics of Discrete Supported Track to Analyze the Rail Corrugation Causation on Curved Urban Railway Tracks

Abstract

Urban rail corrugation on curved tracks with small radii causes strong howling during operation, which has been bothering subway operating companies for many years. Therefore, revealing its causes and growth is important for the comfort and safety of subway operation. Current studies believe that the occurrence of rail corrugation is largely due to the resonant vibration of the wheel-rail system. However, little attention has been paid to the key causes of the track resonance and the practical prediction of the occurrence probability of rail corrugation on the certain track. This paper intends to solve these above issues. Firstly, the practical model of predicting the rail corrugation growth is proposed based on the wheel-rail coupling interaction, the key causes of corrugation are investigated, and the sensitivity analysis is carried out, while the corrugation superposition model is introduced to the analyze the corrugation evolution as well as to validate the corrugation growth from the aspect of material friction and wear. Secondly, the impact of the key causes on the initiation and development of the rail corrugation is investigated based on the cosimulation. Finally, case studies validate the proposed theory model and method. The results show that the practical prediction model for the rail corrugation growth proposed in this paper is able to estimate the occurrence possibility of rail corrugation on a specific track, and the superharmonic resonance of the track directly excited by passing vehicles eventually leads to rail corrugation. It is also found that shortwave corrugation develops more rapidly, and adjusting the support stiffness or sleeper spacing leads to fluctuations in the corrugation wavelength and its wear rate.

Dynamic assessment and system dynamics simulation of safety risk in whole life cycle of coal mine

“…The sensitivity test mainly tests the sensitivity of the model, and compares the state variable data under different schemes with the actual data to judge whether the simulation results are in line with the actual situation ( Yin et al 2021;Booth B. 1994).…”

Damage Identification for Railway Tracks Using Onboard Monitoring Systems in In-Service Vehicles and Data Science

“…Regarding the numerical models of the vehicle-track dynamic system, which have been adopted in studies concerning the identification of damage and vehicle-structure dynamics, two main approaches may be found in the literature. Namely, approaches that rely on theories of multiple moving point loads, finite elements, and elastically supported structures [4,[42][43][44][45][46][47][48][49][50][51], and theory of multi-body dynamic simulation of the railway vehicletrack dynamic system [14,52,53]. Mosleh et al [54] developed a 3D numerical model of a passenger railway vehicle using the theory of finite elements.…”