Advanced dynamic modelling for friction draft gears

Wu, Qing; Spiryagin, Maksym; Cole, Colin

doi:10.1080/00423114.2014.1002504

Cited by 53 publications

(27 citation statements)

References 11 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%

“…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%

Section: Vehicle Connection Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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

Wang

Guo

et al. 2018

Shock and Vibration

View full text Add to dashboard Cite

show abstract

“…Zhai studied the calculation method of train dynamics and proposed a prediction-correction integration method and Newmark fast explicit integration method [7]; Zhang et al proposed a new method for dynamics modeling based on the cyclic variable method, which considered the dynamics coupling relationship in longitudinal, lateral, and vertical directions, and used this model to analyze the dynamics performance of the heavy-haul trains under traction, idle running, and braking conditions, respectively [8,9]; Sun et al realized the numerical simulation of vehicle impact by cosimulation method [10]; Wei and Lin carried out studies on the longitudinal dynamics of the train by using air-braking characteristics simulation based on gas flow theory and using longitudinal dynamics simulation based on rigid body dynamics and proposed a series of measures to improve the longitudinal impulse of the train [11]; Belforte et al established a more simplified air-braking model in order to better combine the fluid system model and the longitudinal dynamics model of the train [12]; Wu et al optimized the modeling of the draft gear and studied the influence of longitudinal impulse on heavy-haul trains from the perspective of coupler fatigue based on the characteristics of the draft gear [13,14]; and Sun et al studied the energy consumption of trains on a typical heavy-haul line [15].…”

Section: Introductionmentioning

confidence: 99%

Influence of Draft Gear Modeling on Dynamics Simulation for Heavy‐Haul Train

Cheng

Liu

Li-sheng

et al. 2019

Shock and Vibration

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In order to study the impedance characteristics of the frictional draft gear, MT-2 draft gear is studied, and its mechanical properties are analyzed firstly. Then, the mathematical models of two common draft gears are established based on the data collected from the vehicle impact test, and the effects of the two modeling methods on the simulation results are compared through the shunting impact test and the bench test simulation. Researches show that, under various experimental conditions, the simulated draft gear characteristic curve of the lookup table model moves along a fixed trajectory regardless of the change rate of the draft gear stroke, while simulation results of the wedge-spring model depend on the change rate of the draft gear stroke and are more consistent with the experimental results, reflecting the dynamic characteristics of the draft gear and suggesting better adaptability and wider application. Finally, the “1 + 1” grouped 20,000-ton heavy-haul combined train model is established, with its draft gear characteristics under the full-braking condition on flat straight track analyzed. Calculation results and test results of the lookup table model and the wedge-spring model are compared, indicating that using the wedge-spring model to calculate the longitudinal dynamics performance is more accurate. The influence of the modeling on the longitudinal impulse simulation of the train after air braking is also studied, revealing that the variation trends of the coupler force curves of two models are basically the same, but the amplitude and frequency of the longitudinal impulse are different.

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“…The paper by Wu et al (2014a) reviewed current techniques in dynamics modelling of friction draft gears to provide a starting point that can be used to improve existing or develop new models to achieve more accurate force amplitude and pattern predictions. An advanced explicit dynamic modelling approach (Wu et al 2015) with all components of the draft gear and their geometries considered for friction draft gears has been proposed and the conventional twostage (loading and unloading) working process of the friction draft gear was detailed as a four-stage process.…”

Section: Introductionmentioning

confidence: 99%

Model-Based Assessment of Longitudinal Dynamic Performance and Energy Consumption of Heavy Haul Train on Long-Steep Downgrades

Ren

Zhang

2019

Transport

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Longitudinal dynamics performance and energy consumption of heavy haul train should be considered in the design of heavy haul railway profile of long-steep downgrades. A quantitative analytical tool is developed to assess the longitudinal dynamic performance and energy consumption of heavy haul trains with large axle loads on grades with different longitudinal profiles, including a longitudinal dynamic model of the train and a method of calculating the energy consumption during the operation of heavy haul train. The model is then preliminarily validated by the data of coupler force collected in two comprehensive tests. Finally, the proposed analytical tool is used to assess the designed longitudinal track profile of a long-deep downgrade segment of the central south heavy haul railway of Shanxi (China).

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Advanced dynamic modelling for friction draft gears

Cited by 53 publications

References 11 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

Influence of Draft Gear Modeling on Dynamics Simulation for Heavy‐Haul Train

Model-Based Assessment of Longitudinal Dynamic Performance and Energy Consumption of Heavy Haul Train on Long-Steep Downgrades

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