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Numerical Investigation of Aerodynamic Drag and Pressure Waves in Hyperloop Systems

Author

Listed:
  • Thi Thanh Giang Le

    (Department of Mechanical Engineering, Chung-Ang University, Seoul 06911, Korea)

  • Kyeong Sik Jang

    (Department of Mechanical Engineering, Chung-Ang University, Seoul 06911, Korea)

  • Kwan-Sup Lee

    (Hyper Tube Express (HTX) Research Team, Korea Railroad Research Institute, Gyeonggi-do 16105, Korea)

  • Jaiyoung Ryu

    (Department of Mechanical Engineering, Chung-Ang University, Seoul 06911, Korea
    School of Intelligent Energy and Industry, Chung-Ang University, Seoul 06911, Korea)

Abstract

Hyperloop is a new, alternative, very high-speed mode of transport wherein Hyperloop pods (or capsules) transport cargo and passengers at very high speeds in a near-vacuum tube. Such high-speed operations, however, cause a large aerodynamic drag. This study investigates the effects of pod speed, blockage ratio (BR), tube pressure, and pod length on the drag and drag coefficient of a Hyperloop. To study the compressibility of air when the pod is operating in a tube, the effect of pressure waves in terms of propagation speed and magnitude are investigated based on normal shockwave theories. To represent the pod motion and propagation of pressure waves, unsteady simulation using the moving-mesh method was applied under the sheer stress transport k–ω turbulence model. Numerical simulations were performed for different pod speeds from 100 to 350 m/s. The results indicate that the drag coefficient increases with increase in BR, pod speed, and pod length. In the Hyperloop system, the compression wave propagation speed is much higher than the speed of sound and the expansion wave propagation speed that experiences values around the speed of sound.

Suggested Citation

  • Thi Thanh Giang Le & Kyeong Sik Jang & Kwan-Sup Lee & Jaiyoung Ryu, 2020. "Numerical Investigation of Aerodynamic Drag and Pressure Waves in Hyperloop Systems," Mathematics, MDPI, vol. 8(11), pages 1-23, November.
  • Handle: RePEc:gam:jmathe:v:8:y:2020:i:11:p:1973-:d:440892
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    References listed on IDEAS

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    1. Peng Zhou & Jiye Zhang & Tian Li, 2020. "Effects of blocking ratio and Mach number on aerodynamic characteristics of the evacuated tube train," International Journal of Rail Transportation, Taylor & Francis Journals, vol. 8(1), pages 27-44, January.
    2. Rocha, P.A. Costa & Rocha, H.H. Barbosa & Carneiro, F.O. Moura & Vieira da Silva, M.E. & Bueno, A. Valente, 2014. "k–ω SST (shear stress transport) turbulence model calibration: A case study on a small scale horizontal axis wind turbine," Energy, Elsevier, vol. 65(C), pages 412-418.
    3. Myung Gon Choi & Jaiyoung Ryu, 2018. "Numerical Study of the Axial Gap and Hot Streak Effects on Thermal and Flow Characteristics in Two-Stage High Pressure Gas Turbine," Energies, MDPI, vol. 11(10), pages 1-15, October.
    4. Jae-Sung Oh & Taehak Kang & Seokgyun Ham & Kwan-Sup Lee & Yong-Jun Jang & Hong-Sun Ryou & Jaiyoung Ryu, 2019. "Numerical Analysis of Aerodynamic Characteristics of Hyperloop System," Energies, MDPI, vol. 12(3), pages 1-17, February.
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