Characteristic velocity of strong wind for wind engineering purposes

• Autorzy: Lipecki Tomasz , Gaczek Mariusz , Goliger Adam , Kimbar Grzegorz , Węgrzyński Wojciech

Identyfikatory

DOI

10.24425/ace.2023.146077

Warianty tytułu

PL

Prędkość charakterystyczna silnego wiatru do celów inżynierii wiatrowej

• Języki publikacji: EN

Abstrakty

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.

PL

Eurokod zaleca stosowanie podstawowej bazowej prędkości wiatru (prędkości charakterystycznej) jako wartości projektowej w inżynierii lądowej. Istnieją różne metody szacowania tej wartości, zależne od cech klimatycznych danego obszaru oraz jakości rejestrowanych danych środowiskowych. Oszacowanie wartości charakterystycznej wymaga analizy statystycznej danych historycznych na temat prędkości wiatru mierzonej na stacjach meteorologicznych na terenie całego kraju. Wynikiem analizy jest rozkład gęstości prawdopodobieństwa i w konsekwencji wartość charakterystyczna prędkości wiatru w danej lokalizacji. W normach projektowych, przeważnie jest to prędkość o tzw. okresie powrotu wynoszącym 50 lat. Końcowym efektem jest wyznaczenie na mapie kraju stref o jednakowych prędkościach wiatru. W przypadku Polski ostatnia aktualizacja stref wiatrowych miała miejsce ponad 15 lat temu. Znacznie dłuższe okresy pomiarowe i dobra jakość danych rejestrowanych na stacjach w ostatnich latach oraz wprowadzenie w niedalekiej przyszłości drugiej generacji norm Eurokod stwarza potrzebę sprawdzenia tych stref i ewentualnej ich korekty. W pracy przedstawiono podstawy teoretyczne estymacji wartości charakterystycznych zmiennych losowych w kontekście prędkości wiatru, dokonano kompleksowego przeglądu praktycznych metod stosowanych w tym celu oraz podsumowano obecną sytuację w Polsce. Omówiono również zagadnienia związane z niejednorodności danych wiatrowych rejestrowanych na stacjach meteorologicznych, ilustrując je przykładem.

Słowa kluczowe

EN

characteristic velocity; wind velocity; Gumbel model; generalized extreme value; generalized Pareto distribution; wind map; wind code; best linear unbiased estimator

PL

prędkość wiatru; prędkość charakterystyczna; model Gumbela; wartość ekstremalna uogólniona; rozkład Pareto uogólniony; mapa wietrzności; norma; estymator liniowy nieobciążony najlepszy

• Wydawca: Komitet Inżynierii Lądowej i Wodnej PAN ; Politechnika Warszawska, Wydział Inżynierii Lądowej
• Czasopismo: Archives of Civil Engineering
• Rocznik: 2023
• Tom: Vol. 69, nr 3
• Strony: 217--237
• Opis fizyczny: Bibliogr. 68 poz., il., tab.

Twórcy

autor

Lipecki Tomasz

• Lublin University of Technology, Lublin, Poland

• https://orcid.org/0000-0002-2867-773X

autor

Gaczek Mariusz

• Poznan University of Technology, Poznań, Poland

• https://orcid.org/0000-0003-1349-2676

autor

Goliger Adam

• Firelab, Pretoria, South Africa

autor

Kimbar Grzegorz

• Building Research Institute, Warszawa, Poland

• https://orcid.org/0000-0003-0500-4062

autor

Węgrzyński Wojciech

• Building Research Institute, Warszawa, Poland

• https://orcid.org/0000-0002-7465-0212

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