Buy article PDF
The purchased file will be sent to you
via email after the payment is completed.
US$ 35
|
Wind and Structures Volume 36, Number 4, April 2023 , pages 249-261 DOI: https://doi.org/10.12989/was.2023.36.4.249 |
|
|
|
Application of probabilistic method to determination of aerodynamic force coefficients on tall buildings |
||
Yong Chul Kim and Shuyang Cao
|
||
| Abstract | ||
| Aerodynamic force coefficients are generally prescribed by an ensemble average of ten and/or twenty 10-minute samples. However, this makes it difficult to identify the exact probability distribution and exceedance probability of the prescribed values. In this study, 12,600 10-minute samples on three tall buildings were measured, and the probability distributions were first identified and the aerodynamic force coefficients corresponding to the specific non-exceedance probabilities (cumulative probabilities) of wind load were then evaluated. It was found that the probability distributions of the mean and fluctuating aerodynamic force coefficients followed a normal distribution. The ratios of aerodynamic force coefficients corresponding to the specific non-exceedance probabilities (Cf,Non) to the ensemble average of 12,600 samples (Cf,Ens), which was defined as an adjusting factor (Cf,Non/Cf,Ens), were less than 2%. The effect of coefficient of variation of wind speed on the adjusting factor is larger than that of the annual non-exceedance probability of wind load. The non-exceedance probabilities of the aerodynamic force coefficient is between PC,nonex = 50% and 60% regardless of force components and aspect ratios. The adjusting factors from the Gumbel distribution were larger than those from the normal distribution. | ||
| Key Words | ||
| adjusting factor; aerodynamic force coefficient; coefficient of variation; non-exceedance probability; probability density distribution | ||
| Address | ||
| Yong Chul Kim:Department of Engineering, Tokyo Polytechnic University, Atsugi 2430297, Japan Shuyang Cao:State Key Laboratory for Disaster Reduction in Civil Engineering, Tongji University, Shanghai 200092, China | ||