摘要
东南沿海台风活动频繁地区的基本风压取值是建筑结构设计的重要依据,但由于历史长的气象站点少,导致建筑结构设计时风压取值混乱。本文构建了优化的BP人工神经网络,以7个建站历史长的参考站点风速观测数据作为输入,以目标站近几年的风速观测数据作为目标值,对网络进行训练和泛化能力检验,得到了良好效果。再以参考站早期的风速观测值作为输入,推测目标站早期无记录时的风速极值,选取台风登陆活动相对频繁的连续30 a风速极值,按照极值I型概率模型计算50 a一遇的风速最大值和基本风压。通过对比分析发现,该方法算得的基本风压值比较合理。
The value of basic wind pressure in areas with frequent typhoon activity in the southeast coast is an important basis for the design of building structures.However,due to the small number of meteorological stations with long history,the value of wind pressure in building structure design is chaotic.In this paper,an optimized BP artificial neural network(ANN)is constructed,and the wind speed observation data of 7 historical long reference sites are used as input,and the wind speed observation data of the target station in recent years are taken as the target value,and the training and generalization ability of the network are tested,and good results are obtained.Then,that the early wind speed observation data of reference station were taken as inputs,estimates the wind speed when there is no record in early stage of the target station.In 30 years consecutive with typhoon landing activities,the extreme wind speed values of every year were chosen to calculate the maximum wind speed once in 50 years according to the extreme I probability model.And then the basic wind pressure was calculated.Through comparative analysis,it is found that the basic wind pressure value calculated by this method is reasonable.
作者
李瑞鸽
李骞
陈小素
祝东红
王建君
沈君鑫
王颖聪
LI Rui-ge;LI Qian;CHEN Xiao-su;ZHU Dong-hong;WANG Jian-jun;SHEN Jun-xin;WANG Ying-cong(School of Civil Engineering&Architecture,Taizhou University,Taizhou 318000, China;Taizhou Construction Engineering Design Review Center,Taizhou 318000, China;Taizhou Jingzhu Construction Project Drawing Review Center,Taizhou 318000, China;Taizhou Meteorological Bureau,Taizhou 318000,China)
出处
《河南城建学院学报》
CAS
2018年第6期15-21,共7页
Journal of Henan University of Urban Construction
基金
浙江省住房和城乡建设厅建设科研项目(2017K185)
国家级大学生创新创业训练计划项目(201810350023)
关键词
BP网络
风速极值
基本风压
数据插补
Back-Propagation network
the extreme wind speed value
basic wind pressure
data interpolation
