The Fine-analysis Method For Wind Effect Of Super High-rise Building Based On Monte-Carlo Wind Speed Simulation

In recent years,super high-rise structures have emerged as landmark buildings in many cities in China.This type of building structure has the characteristics of high,flexible and very sensitive to wind loads.Wind loads are often used as control loads in structural design.In order to obtain reasonable wind load value,wind resistance designers usually consider the combined effect of wind speed and direction.However,in the process of establishing the joint distribution model,there are problems such as the dispersion of wind speed in the wind direction and the insufficient number of wind speed samples.Based on this,this paper introduces a harmonic function to consider the correlation between wind speed and wind direction,establish a joint distribution model of wind speed and wind direction,and use Monte-Carlo simulation to generate pseudo wind speed data for wind effect research of super high-rise buildings.1.Using harmonic functions to consider the correlation of wind speed and wind direction: Taking Guangzhou and Shenzhen as examples,a harmonic function is introduced to establish a joint distribution probability model that takes into account the correlation between wind speed and wind direction.This model establishes the relationship between wind direction angle and wind direction frequency and extreme value distribution function parameters,and can be obtained Probability distribution characteristics of extreme wind speed at any given wind direction.2.Using Monte-Carlo simulation to increase wind speed samples: In order to make up for the shortcomings of wind speed data,such as lack of years of data,missing data,and too small sample size,After analyzing the original wind speed data in Guangzhou and Shenzhen,this paper uses the inverse transform method to generate a large amount of hourly wind speed data that is subject to the distribution of the wind speed matrix based on Monte-Carlo simulation,which is mainly used for the optimization of the parameters of the joint distribution function and the fitting of the hourly rate of change of the wind speed in 36 wind direction intervals and full wind directions.3.Wind effect analysis of the CAARC standard tall bulding: Based on the joint distribution probability model considering the correlation of wind speed and wind direction and the formula of hourly rate of change of wind speed within 36 wind direction angles,the simplified “Up-crossing method” is used to analyze the wind effect of the standard model of super high-rise buildings.The results show that: the hourly rate of change of the wind speed directly fitted from the original wind speed data will make the wind effect result larger;the use of the hourly rate of change of the wind speed empirical formula will result in a smaller wind effect;while using Monte-Carlo simulation The wind effect results obtained by calculating the hourly rate of change of the 36 wind upward wind speeds,taking into account the actual situation of wind speed changes in various wind direction angles,is therefore more accurate.4.The effect of regional differences on the hourly rate of change of wind speed: The hourly rate of change in 36 wind directions simulated by Monte-Carlo is more sensitive to regional differences,while the hourly rate of change of full wind direction and wind speed simulated by Monte-Carlo is less affected by regional differences,and is closer to the empirical formula calculated by Irwin.