Journal of Wind Engineering
Online ISSN : 1349-340X
Print ISSN : 1349-3507
ISSN-L : 1349-340X
Volume 44, Issue 4
[No. 161]
Displaying 1-3 of 3 articles from this issue
Technical Paper
  • Kosei MINAMI, Kazuyoshi NISHIJIMA, Takashi MARUYAMA, Hiroaki NISHIMURA
    Article type: Technical Paper
    2019 Volume 44 Issue 4 Pages 81-89
    Published: October 31, 2019
    Released on J-STAGE: June 08, 2020
    JOURNAL FREE ACCESS
    Wind loading to a building is generally affected by neighboring buildings. Often, such an effect is neglected in case where wind loads to a large number of buildings must be evaluated; e.g. in the context of wind risk assessment for building portfolio. The present paper proposes a simple approach for wind load evaluation of buildings considering the effect of neighboring buildings. The underlying idea is that buildings in a portfolio is divided into clusters according to distances between neighboring buildings. Then, depending on the characteristics of the geometrical locations (edge or inner area) of individual buildings in each cluster, wind loadings to buildings are evaluated. A wind tunnel experiment with a simplistic configuration of a building portfolio is conducted to justify the proposed approach. The result suggests that buildings may be grouped in a same cluster when the distance to adjacent buildings is less than two times of the roof height; wind loadings to the buildings located in inner area up to the third outer layer in a cluster may be reasonably assumed to be identical; the effect of neighboring buildings on wind loading to the buildings located at the outmost and second outer layer becomes negligible when the distance to the neighboring buildings exceeds 14 times of the roof height.
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  • Yosuke NAGUMO, Takeshi ISHIHARA
    Article type: Technical Paper
    2019 Volume 44 Issue 4 Pages 90-104
    Published: October 31, 2019
    Released on J-STAGE: June 08, 2020
    JOURNAL FREE ACCESS
    In this study, aerodynamic coefficients of train cars are predicted considering turbulence effects of approaching flow. Firstly, wind tunnel tests are carried out to measure wind speeds, turbulence intensities, mean aerodynamic coefficients of a train car and mean pressures around a car-body in uniform and turbulent flows. A model is then proposed to predict aerodynamic coefficients in the turbulent flow from those obtained in the uniform flow, in which the differences of mean wind speed profiles and the mean pressures around the car-body in the uniform and turbulent flows as well as effects of fluctuating wind speed and direction are considered by using correction factors. The predicted aerodynamic coefficients by the proposed model show good agreement with those obtained from the wind tunnel test.
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