{"title":"Probabilistic Models for Wind Actions","authors":"M. Holicky, M. Sýkora","doi":"10.1109/SMRLO.2016.38","DOIUrl":null,"url":null,"abstract":"In common cases the wind actions may be expressed as a product of time invariant and time variant components. The time invariant components, originated primarily from the pressure factor, gust factor and roughness, are represented by the product a single factor. The time variant component is caused by the basic wind pressure dependent on square of wind speed. Four types of distributions are considered here to describe involved random variables: three parameter Weibull distribution WB3, general extreme value distribution GEV, three parameter lognormal distribution LN3 and the Gumbel distribution GU, which is a special case of GEV. Available data indicate that the statistical parameters of annual wind speed depend significantly on local conditions. The average coefficient of variation is about 0.12, the skewness around 0.3. The time invariant component C has the coefficient of variation about 0.2 and skewness around 0.35. The annual wind pressure w, has the coefficient of variation about 0.3 and skewness 0.8. Then the 50 years extreme wind pressure w has the coefficient of variation 0.23 and skewness 0.56. Considering the above mentioned data it is shown that both the annual wind speed and wind pressure can be best described by LN3 that provide similar predictions as lower bounded WB3 distribution. Further research should be primarily focused on probabilistic models for the annual wind speed and the time invariant components.","PeriodicalId":254910,"journal":{"name":"2016 Second International Symposium on Stochastic Models in Reliability Engineering, Life Science and Operations Management (SMRLO)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Second International Symposium on Stochastic Models in Reliability Engineering, Life Science and Operations Management (SMRLO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SMRLO.2016.38","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

In common cases the wind actions may be expressed as a product of time invariant and time variant components. The time invariant components, originated primarily from the pressure factor, gust factor and roughness, are represented by the product a single factor. The time variant component is caused by the basic wind pressure dependent on square of wind speed. Four types of distributions are considered here to describe involved random variables: three parameter Weibull distribution WB3, general extreme value distribution GEV, three parameter lognormal distribution LN3 and the Gumbel distribution GU, which is a special case of GEV. Available data indicate that the statistical parameters of annual wind speed depend significantly on local conditions. The average coefficient of variation is about 0.12, the skewness around 0.3. The time invariant component C has the coefficient of variation about 0.2 and skewness around 0.35. The annual wind pressure w, has the coefficient of variation about 0.3 and skewness 0.8. Then the 50 years extreme wind pressure w has the coefficient of variation 0.23 and skewness 0.56. Considering the above mentioned data it is shown that both the annual wind speed and wind pressure can be best described by LN3 that provide similar predictions as lower bounded WB3 distribution. Further research should be primarily focused on probabilistic models for the annual wind speed and the time invariant components.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
风作用的概率模型
通常情况下,风的作用可以表示为时不变分量和时变分量的乘积。时不变分量主要来源于压力因子、阵风因子和粗糙度,由单个因子的乘积表示。时变分量是由基本风压与风速平方的关系引起的。这里考虑了四种类型的分布来描述所涉及的随机变量:三参数威布尔分布WB3,一般极值分布GEV,三参数对数正态分布LN3和Gumbel分布GU,这是GEV的一种特殊情况。现有资料表明,年风速的统计参数与局地条件有很大关系。平均变异系数约为0.12,偏度约为0.3。时不变分量C的变异系数约为0.2,偏度约为0.35。年风压w的变异系数约为0.3,偏度约为0.8。50年极端风压w的变异系数为0.23,偏度为0.56。综合上述数据可知,LN3最能描述年风速和风压,其预测结果与WB3的下界分布相似。进一步的研究应主要集中在年风速和时不变分量的概率模型上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Health - Promoting Nature of the Urban Space Stochastic Analysis of Systems Exposed to Very Unlikely Faults In Memory of Professor Igor Ushakov: In Memory of Our Colleague and Friend Holistic Approach to Passenger Terminal Risk Estimation Effective Bandwidth Estimation in Highly Reliable Regenerative Networks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1