Taylor Series Expansion for Functions of Correlated Random Variables
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F21%3APU139140" target="_blank" >RIV/00216305:26110/21:PU139140 - isvavai.cz</a>
Výsledek na webu
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Taylor Series Expansion for Functions of Correlated Random Variables
Popis výsledku v původním jazyce
Semi-probabilistic approach in combination with non-linear finite element method is employed more frequently nowadays for design and assessment of structures. In that case, it is crucial to estimate statistical moments of structural resistance assuming uncertain input variables. The task is the estimation of statistical moments of function of random variables solved by finite element method. One of the solutions is represented by Taylor series expansion, which can be further used for the derivation of specific differencing schemes. The paper is focused on derivation of accurate differencing schemes for functions of correlated random variables. It is numerically shown, that the proposed differencing schemes are more accurate in comparison to standard scheme in case of strong correlation.
Název v anglickém jazyce
Taylor Series Expansion for Functions of Correlated Random Variables
Popis výsledku anglicky
Semi-probabilistic approach in combination with non-linear finite element method is employed more frequently nowadays for design and assessment of structures. In that case, it is crucial to estimate statistical moments of structural resistance assuming uncertain input variables. The task is the estimation of statistical moments of function of random variables solved by finite element method. One of the solutions is represented by Taylor series expansion, which can be further used for the derivation of specific differencing schemes. The paper is focused on derivation of accurate differencing schemes for functions of correlated random variables. It is numerically shown, that the proposed differencing schemes are more accurate in comparison to standard scheme in case of strong correlation.
Klasifikace
Druh
O - Ostatní výsledky
CEP obor
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OECD FORD obor
20102 - Construction engineering, Municipal and structural engineering
Návaznosti výsledku
Projekt
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Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2021
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů