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Wind and Structures Volume 27, Number 1, July 2018 , pages 29-40 DOI: https://doi.org/10.12989/was.2018.27.1.029 |
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Numerical analysis of wind field induced by moving train on HSR bridge subjected to crosswind |
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Yujing Wang, He Xia, Weiwei Guo, Nan Zhang and Shaoqin Wang
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| Abstract | ||
| To investigate the characteristics of the combined wind field produced by the natural wind field and the train-induced wind field on the bridge, the aerodynamic models of train and bridge are established and the overset mesh technology is applied to simulate the movement of high-speed train. Based on ten study cases with various crosswind velocities of 0~20 m/s and train speeds of 200~350 km/h, the distributions of combined wind velocities at monitoring points around the train and the pressure on the car-body surface are analyzed. Meanwhile, the difference between the train-induced wind fields calculated by static train model and moving train model is compared. The results show that under non-crosswind condition, the train-induced wind velocity increases with the train speed while decreases with the distance to the train. Under the crosswind, the combined wind velocity is mainly controlled by the crosswind, and slightly increases with the train speed. In the combined wind field, the peak pressure zone on the headstock surface moves from the nose area to the windward side with the increase of wind velocity. The moving train model is more applicable in analyzing the train induced wind field. | ||
| Key Words | ||
| high-speed train; train-induced wind; crosswind; combined wind field; numerical analysis; overset mesh | ||
| Address | ||
| Yujing Wang: School of Civil Engineering, Beijing Jiaotong University, Beijing 100044, China He Xia, Weiwei Guo and Nan Zhang: School of Civil Engineering, Beijing Jiaotong University, Beijing 100044, China; Beijing Key Laboratory of Structural Wind Engineering and Urban Wind Environment, Beijing 100044, China Shaoqin Wang: School of Science, Beijing University of Civil Engineering and Architecture, Beijing 100044, China | ||