空气动力学学报
空氣動力學學報
공기동역학학보
ACTA AERODYNAMICA SINICA
2014年
3期
410-415
,共6页
非平稳风速模型%经验模态分解%矢量分解法%风场实测%超高层结构
非平穩風速模型%經驗模態分解%矢量分解法%風場實測%超高層結構
비평은풍속모형%경험모태분해%시량분해법%풍장실측%초고층결구
non-stationary wind speed model%empirical mode decomposition%vector decomposition method%wind speed measurement%high-rise structure
首先采用应用较广泛的矢量分解法,对超高层结构西塔顶部的实测数据进行处理,总结了矢量分解法的三个方面的局限。然后针对这些局限且为获取较准确的脉动风速时程,考虑了风速非平稳特性,给出了获取螺旋桨风速仪的正交两方向的脉动风速时程的平稳模型与非平稳模型的数值表达公式。依据上述两种风速模型,进一步从湍流强度、阵风因子、概率密度分布和风速谱等指标进行对比分析,结果表明非平稳风速模型能更精确地描述高层建筑顶部实测风速数据的真实状态。
首先採用應用較廣汎的矢量分解法,對超高層結構西塔頂部的實測數據進行處理,總結瞭矢量分解法的三箇方麵的跼限。然後針對這些跼限且為穫取較準確的脈動風速時程,攷慮瞭風速非平穩特性,給齣瞭穫取螺鏇槳風速儀的正交兩方嚮的脈動風速時程的平穩模型與非平穩模型的數值錶達公式。依據上述兩種風速模型,進一步從湍流彊度、陣風因子、概率密度分佈和風速譜等指標進行對比分析,結果錶明非平穩風速模型能更精確地描述高層建築頂部實測風速數據的真實狀態。
수선채용응용교엄범적시량분해법,대초고층결구서탑정부적실측수거진행처리,총결료시량분해법적삼개방면적국한。연후침대저사국한차위획취교준학적맥동풍속시정,고필료풍속비평은특성,급출료획취라선장풍속의적정교량방향적맥동풍속시정적평은모형여비평은모형적수치표체공식。의거상술량충풍속모형,진일보종단류강도、진풍인자、개솔밀도분포화풍속보등지표진행대비분석,결과표명비평은풍속모형능경정학지묘술고층건축정부실측풍속수거적진실상태。
The vector decomposition method was firstly adopted in this paper to process the measured wind speed data atop the super high-rise building Guangzhou West Tower.Three limitations of this widely used statistica analysis method in wind engineering were discussed.In order to solve these limitations and ob-taine more accurate fluctuating wind speed time history,the non-stationary characteristics of wind was taken into accoun in this study.Therefore a revised stationary and non-stationary (mainly induced from the EMD method)wind speed model were established respectively for the two orthogonal directions of the fluctuating wind speed obtained from the propeller anemometer.Then the four major indexes of wind characteristic for measured wind speed,i.e.the turbulence intensity,the gust factor,the probability density distribution,and the power spectral density of fluctuating wind speed,were discussed comprehensively by comparing the ana-lyzed results based on the specifications of the two above mentioned wind speed model.The comprehensive compared results showed that non-stationary wind speed model,which was obtained from the EMD method, could describe the true state of wind characteristic of on-site measured wind speed data more accurately.