Estimation of coefficient of variation for structural analysis: The correlation interval approach

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F21%3APU141225" target="_blank" >RIV/00216305:26110/21:PU141225 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/abs/pii/S0167473021000254" target="_blank" >https://www.sciencedirect.com/science/article/abs/pii/S0167473021000254</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.strusafe.2021.102101" target="_blank" >10.1016/j.strusafe.2021.102101</a>

Result language
angličtina
Original language name
Estimation of coefficient of variation for structural analysis: The correlation interval approach
Original language description
The paper is focused on the efficient estimation of the coefficient of variation for functions of correlated and uncorrelated random variables. Specifically, the paper deals with time-consuming functions solved by the non-linear finite element method. In this case, the semi-probabilistic methods must reduce the number of simulations as much as possible under several simplifying assumptions while preserving the accuracy of the obtained results. The selected commonly used methods are reviewed with the intent of investigating their theoretical background, assumptions and limitations. It is shown, that Taylor series expansion can be modified for fully correlated random variables, which leads to a significant reduction in the number of simulations independent of the dimension of the stochastic model (the number of input random variables). The concept of the interval estimation of the coefficient of variation using Taylor series expansion is proposed and applied to numerical examples of increasing complexity. It is shown that the obtained results correspond to the theoretical conclusions of the proposed method.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20102 - Construction engineering, Municipal and structural engineering

Project
<a href="/en/project/GA20-01781S" target="_blank" >GA20-01781S: Uncertainty modelling in safety formats of concrete structures</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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