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

Yu Feng, Lingfeng Xin, Jianming Hao (), Nan Ding () and Feng Wang
Additional contact information
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
Nan Ding: School of Automobile, Chang’an University, Xi’an 710064, China
Feng Wang: School of Highway, Chang’an University, Xi’an 710064, China

Mathematics, 2023, vol. 11, issue 14, 1-23

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.

Keywords: downbursts; parameter optimization; surrogate model; long-span bridges; computational fluid dynamics; numerical simulation; finite element model (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2227-7390/11/14/3150/pdf (application/pdf)
https://www.mdpi.com/2227-7390/11/14/3150/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:11:y:2023:i:14:p:3150-:d:1196177

Access Statistics for this article

Mathematics is currently edited by Ms. Emma He

More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().