Non-working day estimation in high-rise building construction with wind load data by radiosonde and weibull distribution

Abstract

Optimum scheduling and risk prediction in high-rise building projects are among the most important factors that can determine a project's success or failure. Non-working days due to strong wind should be accurately reflected in the initial construction planning and scheduling process, but existing methods only use the wind speed at ground level or make calculations based on the power distribution law. Thus, in this study, a method of using actual measured data via radiosonde and the Weibull distribution was proposed to calculate the non-working probability for height sections at various altitudes and predict the number of non-working days. This approach has advantages over existing methods. In particular, the Weibull distribution can be used to increase the reliability of wind speed prediction when measured data are not sufficient. Finally, the derived results using the Weibull distribution empirically showed more non-working days, which imply that potential risk due to wind speed can be reduced by the proposed method in the construction phase for high-rise buildings.