会议专题

NUMERICAL SIMULATION OF FLUCTUATING WIND FIELD FOR HIGH-RISE BUILDINGS WITH CONSIDERING SPATIAL CORRELATION

The rational and effective simulation of random wind field is one of the most important factors for time-domain dynamic analysis of high-rise buildings. In this paper, the improved simulation method of wind-speed time series and influence of some factors to simulation results were investigated in detail. The computing mode and basic principle of linear filtering method were given out firstly. Then linear auto-regression mode (AR mode), one simplified format of linear filtering method, were employed to simulate wind-speed time series. Some modified methods aiming at the AR mode, namely discrete Fourier transform (DFT) and fast Fourier transform (FFT), were used to improve calculation efficiency. Finally, analysis procedures were proposed based on Matlab software so as to get results corresponding to different analysis cases and to conduct comparison analysis among cases. To validate the proposed method, two high-rise buildings with height of 100m and 200m were analyzed. The results show that the modified AR mode is accurate and effective to simulate fluctuating wind-speed time series of high-rise buildings. The strength of fluctuating wind in the lower part of structure is more intensive than that in upper part of structure. The variation of fluctuating wind-speed time series is larger for different field types and the peak speed of fluctuating wind increases gradually from field type A to type D. Spatial correlation of fluctuating wind is prominent and has influence in a certain extent to fluctuating wind characteristic of neighbour points.

High-rise buildings Simulation of fluctuating wind field Fourier transform Spatial correction

Da-Yang Wang Yun Zhou Xue-Song Deng

School of Civil Engineering, GuangZhou University, Guangdong 510006, P.R. China

国际会议

第十届国际结构工程青年学者研讨会(The Tenth International Symposium on Structural Engineering for Young Experts)

长沙

英文

1618-1624

2008-10-19(万方平台首次上网日期,不代表论文的发表时间)