The univariate design method may not match the wind resistance demands of bridges in mountainous areas . Therefore, it is crucial to comprehensively consider the joint effect of multiple wind parameters for determining wind-resistant design parameters of bridges. To address challenges such as short measurement periods and difficulties in expanding the extreme value model of wind parameters, a Bootstrap resampling strategy incorporating seasonal wind speed trends was developed, verified, and applied to long-term probabilistic modeling ; thus, the uncertainty of the probability model of average wind parameters was investigated. Then, taking the environmental contour of wind speed and attack angle under varying wind directions as the basis, a technical framework for wind-resistant bridges based on multi-parameter joint design is proposed. Meanwhile, the main girder's longitudinal and lateral design wind speeds are derived under the joint influence of attack angle and yaw angle . The results show that the control wind direction of longitudinal and lateral design wind speed is different. The joint design considering multiple wind parameters effectively makes up the limitations of traditional methods. It provides valuable insights for wind-resistant design and lifecycle toughness evaluation of bridges in mountainous areas. • Developed a resampling method with seasonal wind trends for randomness quantification and long-term probabilistic modeling. • Established a mapping between turbulence parameters and wind speed for design value calculation and uncertainty evaluation. • Built a joint wind parameter design framework for long-span bridges based on field measurements. • Joint design wind speeds for a gorge long-span bridge were determined under large attack and deflection angles.
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Zhang et al. (2024) studied this question.
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