Research On Wind Stochastic Field And Analysis Of Dynamic Reliability For High-Rise Building With Wind Loading

Randomness, which is caused by the uncontrollability of its creation mechanism, transmission path, etc., is characteristic of wind turbulent fluctuation. It is very difficult for current research methods, such as random process theory and random vibration theory, to correctly analyze the dynamic reliability of high-rise buildings subjected to wind stochastic field. Herein, researches on wind stochastic field and the dynamic reliability of wind-excited high-rise buildings are carried on thoroughly based on the basic idea of physical random system.Probabilistic information of yearly maximum average value of the wind velocity (V|-)_wind is an important element in the field of wind engineering. This dissertation adopts the observed data of the mean wind velocity of 740 weather stations located in the Chinese Mainland from 1951 to 2002. And the second-order moment information of (V|-)_wind of these weather stations and the probability density distribution of some typical weather stations are computed by the mathematical statistics and the probability density evolution method, respectively. Besides, the contour maps of the mean and standard deviation of (V|-)_wind of the Chinese Mainland are presented, which will provide the significant data support for structural wind-resistant design and analysis.Physical research on the wind stochastic field is carried on for the first time in this dissertation. From the standpoint of random sample, stochastic Fourier spectrum model of wind field is proposed. It is demonstrated by examples that this model can not only reflect the random characteristics of wind field, but also be conveniently applied to real engineering projects.Simulation of wind loading is a prerequisite in structural wind-resistant analysis. Referring to the theory of harmonic superposition, a numerical simulation technique based on the stochastic Fourier spectrum is come up with and proposed. It is proved that the turbulent wind field generated by this technique can reflect both the random characteristics of the wind stochastic field in time domain and the influence of a...