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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
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    References listed on IDEAS

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    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.
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