IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v11y2023i14p3150-d1196177.html
   My bibliography  Save this article

Numerical Simulation of Long-Span Bridge Response under Downburst: Parameter Optimization Using a Surrogate Model

Author

Listed:
  • Yu Feng

    (School of Highway, Chang’an University, Xi’an 710064, China)

  • Lingfeng Xin

    (School of Highway, Chang’an University, Xi’an 710064, China)

  • Jianming Hao

    (School of Highway, Chang’an University, Xi’an 710064, China
    Department of Civil, Structural and Environmental Engineering, University at Buffalo, Buffalo, NY 14260, USA)

  • Nan Ding

    (School of Automobile, Chang’an University, Xi’an 710064, China)

  • Feng Wang

    (School of Highway, Chang’an University, Xi’an 710064, China)

Abstract

Long-span bridges located in thunderstorm-prone areas can potentially be struck by downburst transient winds. In this study, the downburst time-varying mean wind was simulated by an impinging jet model based on computational fluid dynamics (CFD). To make the simulation results fit well with the measurements, a parameter optimization method was developed. The objective function was established based on the errors between the simulated characteristic points and the target values from the measurement data. To increase the effectiveness, a Kriging surrogate model that was trained using data from numerical simulations was used. The parameter optimization method and the Kriging model were verified using five groups of test samples. The optimization efficiency was significantly increased by replacing the numerical model with a surrogate model during the optimization iteration. The simulation accuracy was clearly improved by the numerical modeling of a downburst based on optimized parameters. Subsequently, the nonstationary turbulent downburst wind was obtained by the combination of the Hilbert-based nonstationary fluctuations and the CFD-based time-varying trend. Finally, the dynamic response of a long-span bridge subjected to the moving downburst was presented. The results based on the simulation validate the optimized downburst wind field and highlight the significant influence on the bridge’s aerodynamics and buffeting response.

Suggested Citation

  • Yu Feng & Lingfeng Xin & Jianming Hao & Nan Ding & Feng Wang, 2023. "Numerical Simulation of Long-Span Bridge Response under Downburst: Parameter Optimization Using a Surrogate Model," Mathematics, MDPI, vol. 11(14), pages 1-23, July.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:14:p:3150-:d:1196177
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/11/14/3150/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/11/14/3150/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Howell, Robert & Qin, Ning & Edwards, Jonathan & Durrani, Naveed, 2010. "Wind tunnel and numerical study of a small vertical axis wind turbine," Renewable Energy, Elsevier, vol. 35(2), pages 412-422.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wekesa, David Wafula & Wang, Cong & Wei, Yingjie & Danao, Louis Angelo M., 2017. "Analytical and numerical investigation of unsteady wind for enhanced energy capture in a fluctuating free-stream," Energy, Elsevier, vol. 121(C), pages 854-864.
    2. Kun Wang & Li Zou & Aimin Wang & Peidong Zhao & Yichen Jiang, 2020. "Wind Tunnel Study on Wake Instability of Twin H-Rotor Vertical-Axis Turbines," Energies, MDPI, vol. 13(17), pages 1-18, August.
    3. Andrea Alaimo & Antonio Esposito & Antonio Messineo & Calogero Orlando & Davide Tumino, 2015. "3D CFD Analysis of a Vertical Axis Wind Turbine," Energies, MDPI, vol. 8(4), pages 1-21, April.
    4. Lee, Young-Tae & Lim, Hee-Chang, 2015. "Numerical study of the aerodynamic performance of a 500 W Darrieus-type vertical-axis wind turbine," Renewable Energy, Elsevier, vol. 83(C), pages 407-415.
    5. Hassan, Syed Saddam ul & Javaid, M. Tariq & Rauf, Umar & Nasir, Sheharyar & Shahzad, Aamer & Salamat, Shuaib, 2023. "Systematic investigation of power enhancement of Vertical Axis Wind Turbines using bio-inspired leading edge tubercles," Energy, Elsevier, vol. 270(C).
    6. Reddy, K. Bheemalingeswara & Bhosale, Amit C., 2024. "Effect of number of blades on performance and wake recovery for a vertical axis helical hydrokinetic turbine," Energy, Elsevier, vol. 299(C).
    7. Kamal, Md. Mustafa & Saini, R.P., 2023. "Performance investigations of hybrid hydrokinetic turbine rotor with different system and operating parameters," Energy, Elsevier, vol. 267(C).
    8. Emejeamara, F.C. & Tomlin, A.S. & Millward-Hopkins, J.T., 2015. "Urban wind: Characterisation of useful gust and energy capture," Renewable Energy, Elsevier, vol. 81(C), pages 162-172.
    9. Lam, H.F. & Peng, H.Y., 2016. "Study of wake characteristics of a vertical axis wind turbine by two- and three-dimensional computational fluid dynamics simulations," Renewable Energy, Elsevier, vol. 90(C), pages 386-398.
    10. Andrea Alaimo & Antonio Esposito & Alberto Milazzo & Calogero Orlando & Flavio Trentacosti, 2013. "Slotted Blades Savonius Wind Turbine Analysis by CFD," Energies, MDPI, vol. 6(12), pages 1-17, December.
    11. Qian Cheng & Xiaolan Liu & Ho Seong Ji & Kyung Chun Kim & Bo Yang, 2017. "Aerodynamic Analysis of a Helical Vertical Axis Wind Turbine," Energies, MDPI, vol. 10(4), pages 1-17, April.
    12. Zanforlin, Stefania & Deluca, Stefano, 2018. "Effects of the Reynolds number and the tip losses on the optimal aspect ratio of straight-bladed Vertical Axis Wind Turbines," Energy, Elsevier, vol. 148(C), pages 179-195.
    13. Hunt, Aidan & Strom, Benjamin & Talpey, Gregory & Ross, Hannah & Scherl, Isabel & Brunton, Steven & Wosnik, Martin & Polagye, Brian, 2024. "An experimental evaluation of the interplay between geometry and scale on cross-flow turbine performance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 206(C).
    14. Ke Song & Huiting Huan & Yuchi Kang, 2022. "Aerodynamic Performance and Wake Characteristics Analysis of Archimedes Spiral Wind Turbine Rotors with Different Blade Angle," Energies, MDPI, vol. 16(1), pages 1-18, December.
    15. Wong, Kok Hoe & Chong, Wen Tong & Poh, Sin Chew & Shiah, Yui-Chuin & Sukiman, Nazatul Liana & Wang, Chin-Tsan, 2018. "3D CFD simulation and parametric study of a flat plate deflector for vertical axis wind turbine," Renewable Energy, Elsevier, vol. 129(PA), pages 32-55.
    16. Lidong Zhang & Kaiqi Zhu & Junwei Zhong & Ling Zhang & Tieliu Jiang & Shaohua Li & Zhongbin Zhang, 2018. "Numerical Investigations of the Effects of the Rotating Shaft and Optimization of Urban Vertical Axis Wind Turbines," Energies, MDPI, vol. 11(7), pages 1-25, July.
    17. Didane, Djamal Hissein & Rosly, Nurhayati & Zulkafli, Mohd Fadhli & Shamsudin, Syariful Syafiq, 2018. "Performance evaluation of a novel vertical axis wind turbine with coaxial contra-rotating concept," Renewable Energy, Elsevier, vol. 115(C), pages 353-361.
    18. Cheng, Biyi & Yao, Yingxue, 2023. "Machine learning based surrogate model to analyze wind tunnel experiment data of Darrieus wind turbines," Energy, Elsevier, vol. 278(PA).
    19. Xu, He-Yong & Qiao, Chen-Liang & Yang, Hui-Qiang & Ye, Zheng-Yin, 2017. "Delayed detached eddy simulation of the wind turbine airfoil S809 for angles of attack up to 90 degrees," Energy, Elsevier, vol. 118(C), pages 1090-1109.
    20. Kamal, Md. Mustafa & Saini, R.P., 2022. "A numerical investigation on the influence of savonius blade helicity on the performance characteristics of hybrid cross-flow hydrokinetic turbine," Renewable Energy, Elsevier, vol. 190(C), pages 788-804.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:11:y:2023:i:14:p:3150-:d:1196177. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.