Simulation of the inherent structural irregularities of high-speed railway turnouts based on a virtual track inspection method

Abstract

Track geometry parameters measured by a track recording car at a turnout are often hard to interpret due to the concomitant geometric complexity, especially for a high-speed railway turnout whose running edge is not interrupted. The virtual track inspection (VTI) method integrated with a multibody system model is proposed to reveal the longitudinal level and alignment of high-speed railway turnouts when the train passes in the main line and in the branch line. Firstly, the principle of inertial measurement and its implementation in MBS are introduced. Then, the VTI method is applied to the vehicle-turnout dynamics using a single-layered co-running track model and validated on tangent and curved tracks in the spatial and wavelength domain. Zero-phase Filters for wavelength ranges 3–25 m and 1–5 m are necessary to eliminate interference from long waves, and to better identify the switch and crossing, respectively. Finally, the effect of different track foundations is studied, including the two-layered co-running track model and the finite element model on the VTI method.

Modelling and Dynamic Analysis of Adaptive Neuro-Fuzzy Inference System-Based Intelligent Control Suspension System for Passenger Rail Vehicles Using Magnetorheological Damper for Improving Ride Index

“…The track irregularity is a significant factor in railway vehicles' dynamic behavior and ride comfort. The model under consideration utilizes sinusoidal rail irregularities as inputs for the inner and outer rail surfaces [8,19,20]. The scalar factor A and spatial frequency Ω represent these irregularities and are expressed in Equation (19).…”

“…The ANFIS technique has garnered attention due to its hybrid nature, combining the strengths of fuzzy logic and neural networks. This hybrid capability endows ANFIS with the ability to effectively capture nonlinear relationships [7][8][9]. Various engineering applications have demonstrated the efficacy of ANFIS, and researchers such as Boada et al [10] have harnessed techniques like recursive lazy learning based on neural networks to model the behavior of MR dampers in the context of railway transportation.…”

High-speed turnout as part of the track

“…Turnouts are constructed with a larger radius, which consequently makes it necessary to use a large number of locking devices and, depending on the switch position, a large number of switch point machines. The basic task of the turnout is to change the direction of travel of the rail vehicle from the main track to the turning track, this is accomplished by the moving elements of the turnout, such as the arched switch rail and the straight switch rail, controlled by a switch point machine through the elements of the adjusting closure [6], [10][11], [19][20].…”

“…From the point of view of safety, a very important parameter of cooperation between the point machine and turnout is the interaction of these elements in the switching conditions and in static conditions. Adjusting the turnout is not the only liability of the point machine -movable elements of the turnout, it is also responsible for keeping the switch blade and swing nose crossing in the assumed position and controls this state during the interaction of dynamic wheelsets during the train passage [10][11], [19][20]. The system of interaction between point machine and turnout is a critical component of the system and has a decisive impact on the maximum possible speed of the rolling stock.…”