苏通大桥桥址区实测强风非平稳风特性分析

发布时间：2018-07-06 17:44

本文选题：苏通大桥 + 非平稳风特性　；参考：《振动工程学报》2017年02期

【摘要】：以2012年"达维"和"海葵"台风期间苏通大桥SHMS实测风数据为研究对象,采用游程检验法对桥址区实测风速进行了平稳性检验,对比分析了基于平稳和非平稳风速模型计算得到的平均风速风向(时变)、紊流强度、紊流功率谱密度等风特性,并采用基于小波变换(WT)的演变功率谱密度(EPSD)估计方法,进行了实测强风非平稳演变功率谱分析。结果表明,实测风速表现出明显的非平稳特性;由于时变趋势项的引入,非平稳风速模型比传统平稳风速模型能更好地表征实测强风特性;所得演变功率谱密度直观地展示了实测脉动风速能量的时频分布,EPSD均值与傅里叶变换谱吻合良好,验证了EPSD估计的可靠性。研究结果可为今后非平稳风场实测分析及数值模拟提供参考。
[Abstract]:Based on the measured wind data of Sutong Bridge during the Typhoon "Dawei" and "Sea anemone" in 2012, the measured wind speed in the bridge site was tested by using the run-length test method. The wind characteristics such as mean wind direction (time-varying), turbulent intensity and turbulent power spectral density are compared and analyzed based on stationary and non-stationary wind speed models, and the evolutionary power spectral density (EPSD) estimation method based on wavelet transform (WT) is used. The power spectrum of nonstationary evolution of strong wind is analyzed. The results show that the measured wind speed shows obvious non-stationary characteristics, and the non-stationary wind speed model can better characterize the measured strong wind characteristics than the traditional stationary wind speed model because of the introduction of time-varying trend term. The evolving power spectral density shows intuitively that the time-frequency distribution of wind velocity energy is in good agreement with the Fourier transform spectrum, which verifies the reliability of the EPSD estimation. The results can be used as reference for the analysis and numerical simulation of non-stationary wind field in the future.
【作者单位】：东南大学混凝土及预应力混凝土结构教育部重点实验室;
【基金】：国家重点基础研究计划(973计划)青年科学家专题(2015CB060000) 国家自然科学基金资助项目(51378111) 霍英东青年教师应用研究项目(142007) 教育部新世纪优秀人才支持计划(NCET-13-0128)
【分类号】：U442.59

【相似文献】