A study on near-ground turbulence power spectrum and its fitted parameters at Quanzhou Bay under the influence of typhoon “Bailu”
XU Zhiwei1, WANG Jinsong1, RAO Huiming2, DAI Gonglian1,3
1.School of Civil Engineering, Central South University, Changsha 410075,China;
2.Southeast Coastal Railway Fujian Co., Ltd., Fuzhou 350013,China;
3.National Engineering Lab for Construction Technology of High Speed Railway,Changsha 410075,China
Abstract:With development of high-speed railway network in China, wind field characteristics of gulf terrain along coastal railway need to be studied.Based on one 40 m wind mastnear the bridge site of Quanzhou Bay Cross-Sea Bridge of Fuzhou—Xiamen passenger dedicated line, the near ground wind fielddata under the influence of “Bailu” were obtained.The time-varying average wind and corresponding fluctuating wind samples of the whole process of typhoon were obtained based on empirical mode decomposition (EMD), and a four-parameter power spectrum model was used to fit thepower spectrum of typhoon turbulence.Then the change law between spectrum parameter and mean wind velocity, probability density distribution analysis of spectrum parameter were conducted.Finally, the evolution power spectrum of typhoon turbulence at 38 m height was analyzed and compared with normative spectrum.The results show that: the four parameter model can be fitted to the measured wind spectrum of typhoon well, and the parameters are not significantly changed with the average wind velocity, the parameters A and B are exponential mapped; the kernel density estimation method is applicable to the estimation of probability density distribution of the wind spectrum parameters,and the parameter A is approximately lognormal distribution, while the parameters B, C, and α are near to normal distribution in this study; the turbulent energy is stronger when outer-region circulation of typhoon approaches the bridge site; normative spectrum can not reflect the turbulence power spectral density(PSD) characteristics well at the height of the main girder of the sea-crossing bridge under the influence of typhoon “Bailu”.
徐智伟,王劲松,饶惠明,戴公连. 台风“白鹿”影响下泉州湾近地脉动风速功率谱及其拟合参数分析[J]. 振动与冲击, 2021, 40(16): 253-260.
XU Zhiwei, WANG Jinsong, RAO Huiming, DAI Gonglian. A study on near-ground turbulence power spectrum and its fitted parameters at Quanzhou Bay under the influence of typhoon “Bailu”. JOURNAL OF VIBRATION AND SHOCK, 2021, 40(16): 253-260.
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