“…Figure 5 shows the traction characteristics of a typical high-speed train in China, which is the total traction force of this train with respect to different speeds. 34 The real traction torque of the motor can be calculated and assigned to the traction rotor according to the total traction force during simulation. To perform the vehicle running at a constant speed, the equivalent resistant torques are applied to the wheelset.…”
Section: Dynamic Simulations and Analysis Of The Resultsmentioning
confidence: 99%
“…A vehicle–track coupled dynamics model is developed by integrating the traditional vehicle–track coupled dynamics model 33 with the newly added traction transmission systems, as displayed in Figure 1. 34 It can be seen that the car body connects with the two bogies using the secondary suspension systems. The dynamic interactions between the bogie frames and the wheelsets are achieved by the primary suspension systems.…”
To analyse and simulate the dynamic responses of the gearbox in a vehicle–track system, a three-dimensional vehicle–track coupled dynamics model for high-speed trains has been developed in this study with a comprehensive consideration of the transmission system. Using this dynamics model, the coupling effects between the gearbox housing and its connected components were analysed. Based on the dynamic results, the dynamic stress field of the gearbox housing can be obtained using the finite element methods. The model outputs were successfully validated through comparisons with field test data. Following model validation, the dynamic stress and its distribution throughout the gearbox housing were further investigated under different excitations, including track irregularities, wheel polygonal wear and flatness. The results demonstrate a significant increase in the stress levels of the oil level window aperture and the bottom face of the housing, which coincides with the location of cracks that are formed in the gearbox housing during frequent vehicle operation. While a specific case has been studied here, the proposed dynamics model can be applied to related dynamic assessments, such as vibration or suspension parameter analyses, as well as to stress analyses of any rail vehicle transmission system to guide the maintenance and design.
“…Figure 5 shows the traction characteristics of a typical high-speed train in China, which is the total traction force of this train with respect to different speeds. 34 The real traction torque of the motor can be calculated and assigned to the traction rotor according to the total traction force during simulation. To perform the vehicle running at a constant speed, the equivalent resistant torques are applied to the wheelset.…”
Section: Dynamic Simulations and Analysis Of The Resultsmentioning
confidence: 99%
“…A vehicle–track coupled dynamics model is developed by integrating the traditional vehicle–track coupled dynamics model 33 with the newly added traction transmission systems, as displayed in Figure 1. 34 It can be seen that the car body connects with the two bogies using the secondary suspension systems. The dynamic interactions between the bogie frames and the wheelsets are achieved by the primary suspension systems.…”
To analyse and simulate the dynamic responses of the gearbox in a vehicle–track system, a three-dimensional vehicle–track coupled dynamics model for high-speed trains has been developed in this study with a comprehensive consideration of the transmission system. Using this dynamics model, the coupling effects between the gearbox housing and its connected components were analysed. Based on the dynamic results, the dynamic stress field of the gearbox housing can be obtained using the finite element methods. The model outputs were successfully validated through comparisons with field test data. Following model validation, the dynamic stress and its distribution throughout the gearbox housing were further investigated under different excitations, including track irregularities, wheel polygonal wear and flatness. The results demonstrate a significant increase in the stress levels of the oil level window aperture and the bottom face of the housing, which coincides with the location of cracks that are formed in the gearbox housing during frequent vehicle operation. While a specific case has been studied here, the proposed dynamics model can be applied to related dynamic assessments, such as vibration or suspension parameter analyses, as well as to stress analyses of any rail vehicle transmission system to guide the maintenance and design.
“…The numerical solution method employed in literature 39 is adopted in this paper to solve the motion equations of the virtual-track train using Matlab. The responses of the dynamic system, such as the vibration accelerations, the dynamic forces between different carbodies, the dynamic forces between carbodies and wheels and the wheel–road dynamic forces, can be obtained and the flow chart of the simulation process is illustrated in Figure 6 Figure 6 Numerical calculation scheme of the vehicle dynamic systems..…”
Due to urbanisation and the economic challenges of traffic, it is urgently necessary to develop an environmentally friendly virtual-track train with suitable speed, high load capacity and low construction cost in China. To guide the design and evaluate this train’s dynamic behaviour, a spatial-dynamics model has been developed based on the dynamics theory and tyre-road interaction. The proposed dynamics model comprises mechanical vehicle systems, traction and braking characteristics and tyre-road dynamic interactions. The coupling effects amongst those systems of virtual track train are derived theoretically for the first time. The nonlinear characteristics of the tyre are modelled by the transit tyre-magic formula with consideration of road irregularities. Based on a designed PID controller and the comprehensive dynamics model, the dynamic performance of the system can be revealed considering motion coupling effects and complicated excitations, especially under traction and braking conditions. The dynamic responses of whole virtual track train can be obtained by numerical integration under different conditions. The vibration characteristics of such train are assessed under running at a constant speed and during the traction/braking process. The results show that the vibrations of the vehicle system are significantly influenced by road irregularities, especially at high speed ranges. The motions and vibrations of different components are intensive coupled, which should not to be neglected in the dynamics assessment of the virtual track train. Besides, the dynamics model can also be applied to dynamics-related assessment (fatigue, strength and some damage conditions, et al.) and parameter optimisation of the virtual-track train.
“…Such studies require the use of advanced computational tools and experiments to validate models and de-risk the development of new technology. This involves using Multi-Body (MB) systems methodologies for railway vehicle dynamics to study different type of problems [2][3][4][5], including virtual homologation [6,7], study of the vehicle performance for selected tracks [8,9], derailments prevention [10][11][12][13][14][15], design of suspensions [16][17][18], tracks with complex geometries [19][20][21][22], traction or braking systems [23,24], pantograph-catenary interaction [25][26][27][28][29][30][31][32][33][34][35], just to mention a few.…”
Section: Figure 1: Overview Of Vehicle-track Interaction and Damagementioning
The rail infrastructure and the track components are expensive assets with long life spans and high maintenance costs. The cost efficiency, performance and punctuality of train operations heavily depend on the track conditions. Ideally, the railway track would be completely smooth providing continuous support to the rolling stock running on it. In practice, however, the infrastructure cannot be installed without irregularities. These defects will increase over time due to the service loads imposed by the railway vehicles. The aim of this work is to use advanced computational tools to predict how the vehicles will respond to changing levels of track defects. For this purpose, the track and its maintenance conditions are characterized in realistic operation scenarios and modelled with detail in order to enable studying the interaction loads that are imposed to the vehicles by the track conditions. The presented methodology enables to identify the track health indexes that have higher influence on the dynamic loads transmitted to the rolling stock. It was observed that the track layout, track irregularities and degradation of the rails have the larger influence on the vehicle-track interaction loads with consequences in terms of safety and maintenance costs. In this way, this work contributes to the development of solutions with technological relevance, giving answer to the industry’s most recent needs in terms of reducing the maintenance costs and decreasing the incidents that cause traffic disruptions, contributing to improve the competitiveness of the railway transport.
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