同济大学学报（自然科学版）2018，Vol.46Issue(4)：452-457,490,7.DOI:10.11908/j.issn.0253-374x.2018.04.005
基于实测的脉动风随机幅值谱模型
Modeling of Fluctuating Wind Velocity Amplitude Spectrum Based on Onsite Monitoring Data
摘要
Abstract
The modeling of wind load is essential for the antiwind design and safety assessment of structures.The fluctuating wind power spectra in given specifications were not capable of fully expressing the probability information of the fluctuating wind velocity,which was seen as stochastic process.The general empirical expression of fluctuating wind amplitude spectrum was introduced by dimensional analysis and its specific Davenport form was proposed according to field measured wind velocity data.The parameters of Davenport empirical fluctuating wind amplitude spectrum were estimated by using the PSO (partical swarm optimization) algorithm and three specific applications of this model were put forward when different known conditions are met.Compared with the measured data,the stochastic Davenport empirical amplitude spectrum model proposed in this paper could accurately describe the statistical properties of the local wind field,thus improve the modeling accuracy of the filed wind load.关键词
脉动风/幅值谱/Davenport随机幅值谱模型/PSO(particle swarm optimization)算法/概率统计特性Key words
fluctuating wind/amplitude spectrum/Davenport stochastic amplitude spectrum model/partical swarm optimization (PSO) algorithm/probability characteristic分类
建筑与水利引用本文复制引用
淡丹辉,王向杰,闫兴非,夏烨..基于实测的脉动风随机幅值谱模型[J].同济大学学报（自然科学版）,2018,46(4):452-457,490,7.基金项目
国家“八六三”高技术研究发展计划(2014AA110402) （2014AA110402）
中央高校基本科研业务费专项基金 （）
国家气象局气象行业科研专项经费(201306102) （201306102）
上海城市建设设计研究总院项目 （）
