Matches in SemOpenAlex for { <https://semopenalex.org/work/W3043732207> ?p ?o ?g. }
- W3043732207 endingPage "101688" @default.
- W3043732207 startingPage "101688" @default.
- W3043732207 abstract "Combining different existing uncertainty quantification (UQ) techniques, a framework is obtained to assess a set of metrics in computational physics problems, in general, and computational fluid dynamics (CFD), in particular. The metrics include accuracy, sensitivity and robustness of the simulator’s outputs with respect to uncertain inputs and parameters. These inputs and parameters are divided into two groups: based on the variation of the first group (e.g. numerical/computational parameters such as grid resolution), a computer experiment is designed, the data of which may become uncertain due to the parameters of the second group (e.g. finite time-averaging). To construct a surrogate model based on uncertain data, Gaussian process regression (GPR) with observation-dependent (heteroscedastic) noise is used. To estimate the propagated uncertainties in the simulator’s outputs from the first group of parameters, a probabilistic version of the polynomial chaos expansion (PCE) is employed Global sensitivity analysis is performed using probabilistic Sobol indices. To illustrate its capabilities, the framework is applied to the scale-resolving simulations of turbulent channel and lid-driven cavity flows using the open-source CFD solver Nek5000. It is shown that at wall distances where the time-averaging uncertainty is high, the quantities of interest are also more sensitive to numerical/computational parameters. In particular for high-fidelity codes such as Nek5000, a thorough assessment of the results’ accuracy and reliability is crucial. The detailed analyses and the resulting conclusions can enhance our insight into the influence of different factors on physics simulations, in particular the simulations of high-Reynolds-number turbulent flows including wall turbulence." @default.
- W3043732207 created "2020-07-23" @default.
- W3043732207 creator A5001997189 @default.
- W3043732207 creator A5049616413 @default.
- W3043732207 creator A5082915627 @default.
- W3043732207 date "2022-07-01" @default.
- W3043732207 modified "2023-10-14" @default.
- W3043732207 title "An uncertainty-quantification framework for assessing accuracy, sensitivity, and robustness in computational fluid dynamics" @default.
- W3043732207 cites W1559030289 @default.
- W3043732207 cites W1646309082 @default.
- W3043732207 cites W1964490787 @default.
- W3043732207 cites W1968895792 @default.
- W3043732207 cites W1984334096 @default.
- W3043732207 cites W1991788899 @default.
- W3043732207 cites W1998738943 @default.
- W3043732207 cites W2003562930 @default.
- W3043732207 cites W2004716112 @default.
- W3043732207 cites W2018159038 @default.
- W3043732207 cites W2020917296 @default.
- W3043732207 cites W2024739428 @default.
- W3043732207 cites W2029108282 @default.
- W3043732207 cites W2033581986 @default.
- W3043732207 cites W2034644845 @default.
- W3043732207 cites W2036843121 @default.
- W3043732207 cites W2040932457 @default.
- W3043732207 cites W2047352485 @default.
- W3043732207 cites W2054854538 @default.
- W3043732207 cites W2071850855 @default.
- W3043732207 cites W2077527080 @default.
- W3043732207 cites W2098233760 @default.
- W3043732207 cites W2101589741 @default.
- W3043732207 cites W2110720940 @default.
- W3043732207 cites W2133807992 @default.
- W3043732207 cites W2135014481 @default.
- W3043732207 cites W2143591652 @default.
- W3043732207 cites W2145096794 @default.
- W3043732207 cites W2166715197 @default.
- W3043732207 cites W2518880489 @default.
- W3043732207 cites W2545470258 @default.
- W3043732207 cites W2563738408 @default.
- W3043732207 cites W2734657320 @default.
- W3043732207 cites W2742483926 @default.
- W3043732207 cites W2799077307 @default.
- W3043732207 cites W2802768264 @default.
- W3043732207 cites W2804573898 @default.
- W3043732207 cites W2808267227 @default.
- W3043732207 cites W2811020507 @default.
- W3043732207 cites W2884557393 @default.
- W3043732207 cites W2897458383 @default.
- W3043732207 cites W2963032837 @default.
- W3043732207 cites W2963889731 @default.
- W3043732207 cites W3100692136 @default.
- W3043732207 cites W3101185016 @default.
- W3043732207 cites W3103145119 @default.
- W3043732207 cites W3104015644 @default.
- W3043732207 cites W3104884672 @default.
- W3043732207 cites W3155014376 @default.
- W3043732207 cites W3168149661 @default.
- W3043732207 cites W4234444884 @default.
- W3043732207 cites W4299884930 @default.
- W3043732207 doi "https://doi.org/10.1016/j.jocs.2022.101688" @default.
- W3043732207 hasPublicationYear "2022" @default.
- W3043732207 type Work @default.
- W3043732207 sameAs 3043732207 @default.
- W3043732207 citedByCount "4" @default.
- W3043732207 countsByYear W30437322072023 @default.
- W3043732207 crossrefType "journal-article" @default.
- W3043732207 hasAuthorship W3043732207A5001997189 @default.
- W3043732207 hasAuthorship W3043732207A5049616413 @default.
- W3043732207 hasAuthorship W3043732207A5082915627 @default.
- W3043732207 hasBestOaLocation W30437322071 @default.
- W3043732207 hasConcept C104317684 @default.
- W3043732207 hasConcept C105795698 @default.
- W3043732207 hasConcept C11413529 @default.
- W3043732207 hasConcept C119857082 @default.
- W3043732207 hasConcept C121332964 @default.
- W3043732207 hasConcept C123614077 @default.
- W3043732207 hasConcept C126255220 @default.
- W3043732207 hasConcept C127413603 @default.
- W3043732207 hasConcept C131675550 @default.
- W3043732207 hasConcept C146978453 @default.
- W3043732207 hasConcept C154945302 @default.
- W3043732207 hasConcept C1633027 @default.
- W3043732207 hasConcept C163716315 @default.
- W3043732207 hasConcept C179799912 @default.
- W3043732207 hasConcept C185592680 @default.
- W3043732207 hasConcept C19499675 @default.
- W3043732207 hasConcept C197656079 @default.
- W3043732207 hasConcept C21200559 @default.
- W3043732207 hasConcept C24326235 @default.
- W3043732207 hasConcept C2778770139 @default.
- W3043732207 hasConcept C32230216 @default.
- W3043732207 hasConcept C33923547 @default.
- W3043732207 hasConcept C41008148 @default.
- W3043732207 hasConcept C49740808 @default.
- W3043732207 hasConcept C49937458 @default.
- W3043732207 hasConcept C55493867 @default.
- W3043732207 hasConcept C62520636 @default.