Effect of wind barriers on the flow field and aerodynamic forces of a train–bridge system

He, Xuhui; Zhou, Lei; Chen, Zhengwei; Jing, Haiquan; Zou, Yunfeng; Wu, Teng

doi:10.1177/0954409718793220

Cited by 31 publications

(9 citation statements)

References 29 publications

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“…Currently, the RANS, DES (detached eddy simulation), and LES (large-eddy simulations) are the main methods used for the study of train aerodynamics. Compared with the LES and DES, RANS can better balance the numerical predication accuracy and computational cost (He et al, 2019;Morden et al, 2015;Munoz-Paniagua et al, 2017), and has been successfully applied in the studies of the aerodynamic performances of HSTs and cars (Gao et al, 2019;Kurec, Remer, Mayer, et al, 2019;Liu et al, 2019;Xia et al, 2016). Meanwhile, considering that the main concerns of this study is the time-averaged properties of the aerodynamic quantities and surrounding flow field of the train model, thus the RANS was selected in this study.…”

Section: Methodsmentioning

confidence: 99%

Aerodynamic effects of the gap spacing between adjacent vehicles on wind tunnel train models

Xia

Liu

et al. 2020

Engineering Applications of Computational Fluid Mechanics

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A certain gap spacing between adjacent vehicles is usually inevitable in wind tunnel force tests of high-speed trains under no crosswind, which may affect the wind tunnel test results. Thus, to understand the influence of gap spacings on the train aerodynamics, the aerodynamic drag, pressure distributions and airflow structures of 1/8th-scale high-speed train models with gap spacings of 0, 5, 8, 10, 20, and 30 mm were studied using RANS based on SST k-ω turbulence model. The simulation method was verified by the wind tunnel experiment data. The results show that the gap spacing significantly affects the airflow structure around inter-car gap and aerodynamic resistances of train models. For the high-speed train model scaled at 1/8th at zero yaw, compared with gap spacing of 0 mm, the gap spacings lead to a significant reduction in the aerodynamic drag of the head car and an increase in that of the tail car, whereas which of the middle car is not significant. The maximum difference of the drag coefficient of the entire train model is smaller than 2.0%. When the gap spacing does not exceed 8 mm, the discrepancies of the drag coefficients of three cars are within 6.15%.

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Section: Methodsmentioning

confidence: 99%

Aerodynamic effects of the gap spacing between adjacent vehicles on wind tunnel train models

Xia

Liu

et al. 2020

Engineering Applications of Computational Fluid Mechanics

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“…6 Railway bridge in operation is not only influenced by the dynamic interactions among train, track and bridge, but also by external loads, such as strong winds, earthquakes and collisions loads, etc. 7–14 The impact on bridge induced by the collisions of ships, trains, debris flow, or ice would be a potential threaten for the operation safety of railway system although it occurs with a small probability. 15–19…”

Section: Introductionmentioning

confidence: 99%

Running safety evaluation of high-speed train subject to the impact of floating ice collision on bridge piers

Han

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part F:

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In Northeast China and the areas along Sichuan-Tibet railway, collision between floating ice and piers of railway bridges seriously threatens the train operation safety. The safety of high-speed train running on the bridge subject to the impact of floating ice collision is rarely assessed considering the spatial interaction of the train-track-bridge-ice system. To evaluate the running safety and ride comfort of trains and the structural stability of railway bridges under the collision between floating ices and piers, a train-track-bridge (TTB) dynamic interaction model considering the impact of floating ice is established. Using the refined finite element model, the collision process of floating ice on bridge pier is simulated, and the impact loads are employed as the excitation input of the TTB dynamics model. Taking a 5 × 32 m simply-supported bridges as a case study, the influence of bridge structural parameters on the floating ice collision system is investigated, and then the dynamic responses of the TTB system induced by the floating ice impact loads are analyzed in detail. Finally, the effect of the ice impact loads on the running safety of the high-speed train is revealed. Results show that under the floating ice impact loads, the angle of the pier sharp-nose (APSN) and lateral stiffness of foundations are the key parameters that influence the dynamic responses of the bridge, and an improperly small lateral stiffness of foundation would lead to an instability of bridge structure. The influence of ice impact loads on the dynamic responses of the train is remarkable. The lateral vibration acceleration, derailment factor and lateral wheel rail force caused by the ice impact loads are all greater than those caused by the track irregularity, while the wheel unloading rate is slightly smaller. In addition, the running speed of train is also closely related to the running safety and ride comfort when the collision occurs. When the train speed exceeds 400 km/h, the train passing through the bridge would have the possibility of derailment.

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“…Each of the aforementioned studies conducted simulations in 2D, which cannot account for flow development in the spanwise direction. He et al [39] included the spanwise dimension and performed 3D RANS simulations with the k-ω SST turbulence model on a trainbridge system. They studied the effect of secondary structures (wind barriers for trains) on aerodynamic coefficients of both trains and bridge decks.…”

Section: Introductionmentioning

confidence: 99%

Assessing the Capability of Computational Fluid Dynamics Models in Replicating Wind Tunnel Test Results for the Rose Fitzgerald Kennedy Bridge

et al. 2021

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Despite its wide acceptance in various industries, CFD is considered a secondary option to wind tunnel tests in bridge engineering due to a lack of confidence. To increase confidence and to advance the quality of simulations in bridge aerodynamic studies, this study performed three-dimensional RANS simulations and DESs to assess the bridge deck aerodynamics of the Rose Fitzgerald Kennedy Bridge and demonstrated detailed procedures of the verification and validation of the applied CFD model. The CFD simulations were developed in OpenFOAM, the results of which are compared to prior wind tunnel test results, where general agreements were achieved though differences were also found and analyzed. The CFD model was also applied to study the effect of fascia beams and handrails on the bridge deck aerodynamics, which were neglected in most research to-date. These secondary structures were found to increase drag coefficients and reduce lift and moment coefficients by up to 32%, 94.3%, and 52.2%, respectively, which emphasized the necessity of including these structures in evaluations of the aerodynamic performance of bridges in service. Details of the verification and validation in this study illustrate that CFD simulations can determine close results compared to wind tunnel tests.

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Effect of wind barriers on the flow field and aerodynamic forces of a train–bridge system

Cited by 31 publications

References 29 publications

Aerodynamic effects of the gap spacing between adjacent vehicles on wind tunnel train models

Aerodynamic effects of the gap spacing between adjacent vehicles on wind tunnel train models

Running safety evaluation of high-speed train subject to the impact of floating ice collision on bridge piers

Assessing the Capability of Computational Fluid Dynamics Models in Replicating Wind Tunnel Test Results for the Rose Fitzgerald Kennedy Bridge

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