Multi-point Wind Pressure Signal Preprocessing Approach Based on the SYM Wavelet and Its Applications
DUAN Min1，XIE Zhuangning2，LI Xiaokang2
1. Department of Civil Engineering，Shantou University，Shantou 515063，China；2. State Key Laboratory of Subtropical Building Science，South China University of Technology，Guangzhou 510641，China
Abstract： Wavelet based de-noising method is proposed for processing wind pressure signals of wind tunnel models of large span roof structures and tall buildings by the synchronous multi-pressure measurement technique on the basis of the effectiveness verification and comparison on the de-noising effects of several types of wavelets. The effects of the instrumental noise on the calculation of extreme wind pressure, wind induced deflection and acceleration are analyzed. The results show that the symN are the best wavelets for preprocessing of the wind pressure signals, and best de-noising effects could be obtained by using different vanishing moments. For a large stadium roof structure, the instrumental noise affects the estimation of the extreme wind pressure slightly, but calculation of wind induced response seriously. Instrumental noise could result the background and resonant components be over-estimated by 7.69% and 70.6% respectively, and this finally makes the total deflection be over-estimated by 16.96%. For a 439 m high tall building, the results illustrate that the effects of the instrumental noise on the calculation of wind induced response can be negligible at longer return period wind speed. However, for shorter return period wind speed, the effects of instrumental noise on estimation of the peak acceleration at the top of the buil
段旻 谢壮宁 李小康. 基于SYM小波的多点风压信号预处理方法及其应用[J]. , 2013, 32(3): 50-55.
DUAN Min;XIE Zhuangning;LI Xiaokang. Multi-point Wind Pressure Signal Preprocessing Approach Based on the SYM Wavelet and Its Applications. , 2013, 32(3): 50-55.
2013, Vol. 32 
