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Wind and Structures
  Volume 37, Number 6, December 2023 , pages 399-412
DOI: https://doi.org/10.12989/was.2023.37.6.399
 


Investigation on the integrated transfer function characteristics for the buffeting response prediction of elongated structures
Yi Su, Mingshui Li, Jin Di, Yang Yang and Shaopeng Li

 
Abstract
    Previous studies have shown that the integrated transfer function (ITF) is independent of turbulence characteristics and can be effectively applied to predict the buffeting response of elongated structures, assuming that the strip hypothesis is valid. However, existing research has not effectively identified the ITF through segment model vibration tests, and the influence of the 3D effect on the accuracy of the strip hypothesis and the characteristics of the ITF in wind tunnel tests has not been quantitatively studied. A segment model vibration measurement device that can change a test model's span-width ratio was designed in this study. An airfoil section and a streamlined box girder section structure were taken as the background, and their ITFs were effectively identified under different L/B (L denotes the turbulent integral scale and B denotes the structural width) and model span-width ratios. The influence laws of the 3D effect on the accuracy of the strip hypothesis and ITF identification in wind tunnel tests were systematically investigated. The results showed that L/B and the structural span-width ratio are two significant controlling factors that affect the accuracy of the strip hypothesis and ITF identification. The research provides an effective experimental method for accurately predicting the buffeting response of elongated structures based on ITFs identified through segment model vibration tests.
 
Key Words
    buffeting response; elongated structure; integrated transfer function; scale ratio; wind tunnel test
 
Address
Yi Su, Jin Di and Shaopeng Li:Key Laboratory of New Technology for Construction of Cities in Mountain Area, School of Civil Engineering,
Chongqing University, No. 83 Shabeijie, Shapingba, Chongqing 400045, China

Mingshui Li and Yang Yang:Research Centre for Wind Engineering, Southwest Jiaotong University, No. 111, Section 1, North 2nd Ring Road,
Chengdu 610031, Sichuan, China
 

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