Comparison of probabilistic multivariate wind environment between typhoon and synoptic climate and its propagation in buffeting response for a long-span bridge

Peng Liu, Wei Cui and Lin Zhao

Reliability Engineering and System Safety, 2025, vol. 256, issue C

Abstract: Buffeting of bridges is turbulence-induced vibration affecting the serviceability and may lead to structural fatigue. The first step in evaluating the buffeting response is to determine the turbulence parameters in the wind environment based on field measurements. For long-span bridges in coastal regions, both typhoon and synoptic wind climates attack the bridge sites. In this study, the multiparameter dependence of turbulence parameters under typhoon and synoptic wind climates is established employing the isoprobabilistic transformation method. A surrogate model based on polynomial chaos expansion is then constructed from the transformed isoprobabilistic model to estimate the vertical, lateral and torsional buffeting responses at multiple locations on the bridge. Compared to synoptic winds, typhoons exhibit higher turbulence intensity and greater dispersion in turbulence parameters. The turbulence spectrum of typhoons shows higher energy in the lower frequency range. The multivariable turbulence parameters are modeled using the Gaussian Copula. For bridge buffeting, typhoons cause higher response amplitudes even at the same wind speed as synoptic winds. Additionally, the vertical and torsional responses exhibit nonlinear dependencies, particularly at high wind speeds.

Keywords: Probabilistic wind spectrum; Parameter correlation modeling; Probabilistic propagation; Buffeting response; Multi-outputs (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0951832024007737
Full text for ScienceDirect subscribers only

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:eee:reensy:v:256:y:2025:i:c:s0951832024007737

DOI: 10.1016/j.ress.2024.110702

Access Statistics for this article

Reliability Engineering and System Safety is currently edited by Carlos Guedes Soares

More articles in Reliability Engineering and System Safety from Elsevier
Bibliographic data for series maintained by Catherine Liu ().