Modelling, simulation and applications of longitudinal train dynamics

Cole, Colin; Spiryagin, Maksym; Wu, Qing; Sun, Yan Quan

doi:10.1080/00423114.2017.1330484

Cited by 105 publications

(65 citation statements)

References 17 publications

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“…Since the coupler forces cannot be obtained when the accident happened, the longitudinal dynamics model of the train was employed to calculate the coupler forces firstly, and then the coupler forces were applied on car bodies of the 3-pack model. [16][17][18], the train model is established, as shown in Figure 5. Each wagon (or locomotive) is considered as a detached body with only the longitudinal DOF.…”

Section: Simulation Modelmentioning

confidence: 99%

“…According to the train model, the longitudinal dynamic differential equations are developed as [18]:…”

Section: Simulation Modelmentioning

confidence: 99%

“…As the most important components in longitudinal dynamics model, the modelling of connection elements between wagons (or locomotives) determines the accuracy of simulation results. Research studies conducted by Cole and Wu et al indicate that the impendence forces appear to have evident differences between the loading and unloading process (called hysteresis characteristics) [16][17][18]. In the vehicle connection model, the nonlinear hysteresis characteristics of the draft gear are intensively considered.…”

Section: Vehicle Connection Modelmentioning

confidence: 99%

“…By means of simulations and experiments, Wang et al [11][12][13][14][15] optimized the coupler structures and suspension parameters to enhance the running safety and stability of long freight trains. Cole and Wu et al [16][17][18] focused on the longitudinal dynamics performance of the long freight train and had done excellent work on longitudinal dynamics simulation. Durali and Shadmehri [19] established a nonlinear comprehensive model to predict derailment in different operating conditions.…”

Section: Introductionmentioning

confidence: 99%

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Investigation on Derailment of Empty Wagons of Long Freight Train during Dynamic Braking

Wang

Guo

et al. 2018

Shock and Vibration

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The derailments of empty wagons of long freight trains frequently occurred around the world, which caused tremendous losses every year. Aiming at an actual derailment of empty wagons on straight line during dynamic braking, the field investigation was conducted to find the reasons of the accident. According to the investigation results, the large coupler yaw angle and coupler force, the special connection mode by drawbars, as well as the poor conditions of wheel treads and flanges were supposed to be responsible for the accident. The simulaiton model composed of 3 C80-type gondolas, and two RFC-type drawbars is established, the accuracy of which is validated by the field experimental test. When the wheel-rail friction coefficient is set to be 0.7 and the coupler forces are set to be 350 kN with a coupler yaw angle of 7 degrees, the simulation results are consistent with the field investigation results. Simulation results indicate that the coupler yaw angle, coupler force, and wheel-rail friction coefficient have significant influences on the derailment. The increasing coupler yaw angle and coupler force will increase the risk of derailment. For the wagon units adopting the drawbars, the riskiest wagon changes from the middle wagon to the front one as the lateral components of the coupler forces increase. A large wheel-rail friction coefficient can raise the risk of derailment. However, an overlarge friction coefficient will decrease the derailment risk. According to the field investigation and simulation results, the wheel-rail friction coefficients should be limited below 0.5 to ensure the running safety of empty wagons. Besides, the operations of the train should be optimized to avoid large coupler yaw angle and coupler force.

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Section: Simulation Modelmentioning

confidence: 99%

“…According to the train model, the longitudinal dynamic differential equations are developed as [18]:…”

Section: Simulation Modelmentioning

confidence: 99%

Section: Vehicle Connection Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Investigation on Derailment of Empty Wagons of Long Freight Train during Dynamic Braking

Wang

Guo

et al. 2018

Shock and Vibration

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“…the relative motion of adjacent railway vehicles running in track direction, has received attention from many researchers in the world. A recent special issue of Vehicle System Dynamics has been devoted to this topic [1] and paper [2] provides an excellent review of this matter. LTD is a key factor in determining the safety of freight train sets: high in-train compressive forces can determine train derailment [3].…”

Section: Introductionmentioning

confidence: 99%

Fast Method to Evaluate Payload Effect on In-Train Forces of Freight Trains

Arcidiacono¹,

Berni²,

Cantone³

et al. 2018

TOTJ

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Introduction:This paper introduces a fast method to evaluate the effect of payload distribution on in-train forces.Methods:The method is based on Strong Orthogonal Arrays (SOA) and the excellent space-filling properties of Latin Hypercube Design (LHD): SOA-based-LHD is proved to be very efficient in spanning the range of in-train forces for different types of trains (also considering distributed power/braking) and trains operations.Results:The distribution of the percentage of braked mass is used to consider the effect of payload distribution on in-train forces. Because of its computational efficiency, the method proposed here can be satisfactorily employed to perform an optimization analysis of train composition.

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Bibliography

2021

Mathematical Foundation of Railroad Vehicle Systems

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Bibliography1. ACC. (2017). Competitive switching: making the switch to a more competitive, healthy freight rail system. Freight Rail Reform. https://www.freightrailreform.com/ making-the-switch-to-a-more-competitive-healthy-freight-rail-system. 2. Andersson, C. and Abrahamsson, T. (2002). Simulation of interaction between a train in general motion and a track. Vehicle System Dynamics 38: 433-455.

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Modelling, simulation and applications of longitudinal train dynamics

Cited by 105 publications

References 17 publications

Investigation on Derailment of Empty Wagons of Long Freight Train during Dynamic Braking

Investigation on Derailment of Empty Wagons of Long Freight Train during Dynamic Braking

Fast Method to Evaluate Payload Effect on In-Train Forces of Freight Trains

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