Effect of Statistical Uncertainties on Predicted Extreme Wind Speeds
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21610%2F16%3A00303355" target="_blank" >RIV/68407700:21610/16:00303355 - isvavai.cz</a>
Výsledek na webu
<a href="http://rec2016.sd.rub.de/papers/REC2016-FP-33_A.%20Rozsas%20and%20M.%20Sykora__Effect%20of%20Statistical%20Uncertainties%20on%20Predicted%20Extreme%20Wind%20Speeds.pdf" target="_blank" >http://rec2016.sd.rub.de/papers/REC2016-FP-33_A.%20Rozsas%20and%20M.%20Sykora__Effect%20of%20Statistical%20Uncertainties%20on%20Predicted%20Extreme%20Wind%20Speeds.pdf</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Effect of Statistical Uncertainties on Predicted Extreme Wind Speeds
Popis výsledku v původním jazyce
Statistical uncertainties, arising from the uncertainty of parameter estimation and model selection, are often neglected in probabilistic assessment of engineering structures. This contribution aims to qualitatively and quantitatively investigate the effect of this simplification on extreme values of wind speed that are commonly associated with design values. The probabilistic modelling of basic wind speeds is thoroughly investigated. Moderately high temporal resolution data – daily 10 min averaged maxima from three distinct one hour long measurement sessions – are obtained from the Carpatclim database, covering a 50-year observation period. Data for Budapest are taken into account as a representative example. The conducted analyses imply that neglecting statistical uncertainties might yield to considerable underestimation of extreme values.
Název v anglickém jazyce
Effect of Statistical Uncertainties on Predicted Extreme Wind Speeds
Popis výsledku anglicky
Statistical uncertainties, arising from the uncertainty of parameter estimation and model selection, are often neglected in probabilistic assessment of engineering structures. This contribution aims to qualitatively and quantitatively investigate the effect of this simplification on extreme values of wind speed that are commonly associated with design values. The probabilistic modelling of basic wind speeds is thoroughly investigated. Moderately high temporal resolution data – daily 10 min averaged maxima from three distinct one hour long measurement sessions – are obtained from the Carpatclim database, covering a 50-year observation period. Data for Budapest are taken into account as a representative example. The conducted analyses imply that neglecting statistical uncertainties might yield to considerable underestimation of extreme values.
Klasifikace
Druh
O - Ostatní výsledky
CEP obor
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OECD FORD obor
20101 - Civil engineering
Návaznosti výsledku
Projekt
Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2016
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů