Moment independent sensitivity analysis utilizing polynomial chaos expansion
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F19%3APU134484" target="_blank" >RIV/00216305:26110/19:PU134484 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Moment independent sensitivity analysis utilizing polynomial chaos expansion
Original language description
An important part of uncertainty quantification is a sensitivity analysis (SA). There are several types of SA methods in scientific papers nowadays. However, it is often computationally demanding or even not feasible to obtain sensitivity indicators in practical applications, especially in a case of mathematical models of physical problems solved by the finite element method. Therefore, it is often necessary to create a surrogate model in an explicit form as an approximation of the original mathematical model. It is shown, that it is beneficial to utilize Polynomial Chaos Expansion (PCE) as a surrogate model due to its possibility of a powerful postprocessing (statistical analysis and analysis of variance). The basic theory of PCE and global sensitivity analysis is briefly overviewed with a special attention to a moment-independent sensitivity analysis (taking whole distribution of random variables into account). The paper is mainly focused on a moment-independent sensitivity analysis based on PCE and
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
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OECD FORD branch
20102 - Construction engineering, Municipal and structural engineering
Result continuities
Project
<a href="/en/project/GA18-13212S" target="_blank" >GA18-13212S: Response surface and sensitivity analysis methods in stochastic computational mechanics (RESUS)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů