Depending on the amount of data to process, file generation may take longer.

If it takes too long to generate, you can limit the data by, for example, reducing the range of years.

Article

Download BibTeX

Title

Characteristic velocity of strong wind for wind engineering purposes

Authors

[ 1 ] Instytut Budownictwa, Wydział Inżynierii Lądowej i Transportu, Politechnika Poznańska | [ E ] pensioner

Year of publication

2023

Published in

Archives of Civil Engineering

Journal year: 2023 | Journal volume: vol. 69 | Journal number: no. 3

Article type

scientific article

Publication language

english

Keywords
EN
  • characteristic wind velocity
  • Gumbel
  • GEV
  • GPD
  • wind map
  • wind code
  • BLUE
Abstract

EN Eurocode standard recommends using fundamental basic wind velocity (characteristic velocity) as the design value in civil engineering. There are different approaches to estimate this value depending on the climate features of the given area and the quality of environmental data. The estimation of the characteristic value requires statistical analysis of historical data regarding wind velocities measured throughout the country at meteorological stations. The results of the analysis are probability density distributions of this random variable for each meteorological station. On this basis, values of characteristic wind velocity with a mean return period of 50 years are determined. The zones with uniform velocities are delineated on the map of the country. In the case of Poland the last evaluation of wind zones took place over 15 years ago. Higher quality of measurement data on the one hand, and the introduction of the second generation of Eurocode standards on the other hand, create a need to check and update these zones. This work presents theoretical basis for the estimation of characteristic values of random variables in the context of wind velocity, comprehensively reviews practical methods used for this purpose and summarizes current situation in Poland, finally discusses the issues related to the heterogeneity of wind data, illustrating them with an example.

Pages (from - to)

217 - 237

DOI

10.24425/ace.2023.146077

URL

https://journals.pan.pl/dlibra/publication/146077/edition/128464/content

License type

CC BY-NC-ND (attribution - noncommercial - no derivatives)

Open Access Mode

open journal

Open Access Text Version

final published version

Date of Open Access to the publication

at the time of publication

Ministry points / journal

140

Impact Factor

1,1

This website uses cookies to remember the authenticated session of the user. For more information, read about Cookies and Privacy Policy.