Probabilistic Models for Wind Actions
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21610%2F16%3A00239070" target="_blank" >RIV/68407700:21610/16:00239070 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/SMRLO.2016.38" target="_blank" >http://dx.doi.org/10.1109/SMRLO.2016.38</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/SMRLO.2016.38" target="_blank" >10.1109/SMRLO.2016.38</a>
Alternative languages
Result language
angličtina
Original language name
Probabilistic Models for Wind Actions
Original language description
In common cases wind actions may be expressed as a product of time invariant and time variant components. 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. 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. 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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JN - Civil engineering
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GBP105%2F12%2FG059" target="_blank" >GBP105/12/G059: Cumulative time dependent processes in building materials and structures</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Second International Symposium on Stochastic Models in Reliability Engineering, Life Science and Operations Management
ISBN
978-1-4673-9941-8
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
172-175
Publisher name
IEEE
Place of publication
Piscataway
Event location
Beer Sheva
Event date
Feb 15, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000386833900027