Wind and Structures

  • 제20권2호
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  • Pages.169-189
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  • 2015
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  • 1226-6116(pISSN)
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  • 1598-6225(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

The impact of artificial discrete simulation of wind field on vehicle running performance

  • Wu, Mengxue (Department of Bridge Engineering, Southwest Jiaotong University) ;
  • Li, Yongle (Department of Bridge Engineering, Southwest Jiaotong University) ;
  • Chen, Ning (Department of Bridge Engineering, Southwest Jiaotong University)
  • 투고 : 2014.11.18
  • 심사 : 2015.01.05
  • 발행 : 2015.02.25
⟨ 이전 논문 다음 논문 ⟩

초록

To investigate the effects of "sudden change" of wind fluctuations on vehicle running performance, which is caused by the artificial discrete simulation of wind field, a three-dimensional vehicle model is set up with multi-body dynamics theory and the vehicle dynamic responses in crosswind conditions are obtained in time domain. Based on Hilbert Huang Transform, the effects of simulation separations on time-frequency characteristics of wind field are discussed. In addition, the probability density distribution of "sudden change" of wind fluctuations is displayed, addressing the effects of simulation separation, mean wind speed and vehicle speed on the "sudden change" of wind fluctuations. The "sudden change" of vehicle dynamic responses, which is due to the discontinuity of wind fluctuations on moving vehicle, is also analyzed. With Principal Component Analysis, the comprehensive evaluation of vehicle running performance in crosswind conditions at different simulation separations of wind field is investigated. The results demonstrate that the artificial discrete simulation of wind field often causes "sudden change" in the wind fluctuations and the corresponding vehicle dynamic responses are noticeably affected. It provides a theoretical foundation for the choice of a suitable simulation separation of wind field in engineering application.

키워드

과제정보

연구 과제 주관 기관 : National Natural Science Foundation of China

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피인용 문헌

  1. Safety Prediction Using Vehicle Safety Evaluation Model Passing on Long-Span Bridge with Fully Connected Neural Network vol.2019, pp.None, 2015, https://doi.org/10.1155/2019/8130240
  2. Experimental and numerical research on wind characteristics affected by actual mountain ridges and windbreaks: a case study of the Lanzhou-Xinjiang high-speed railway vol.14, pp.1, 2015, https://doi.org/10.1080/19942060.2020.1831963