Matches in SemOpenAlex for { <https://semopenalex.org/work/W4304124310> ?p ?o ?g. }
Showing items 1 to 91 of
91
with 100 items per page.
- W4304124310 endingPage "125640" @default.
- W4304124310 startingPage "125640" @default.
- W4304124310 abstract "A problem of epistemic uncertainties introduced by code input parameters that cannot be estimated other than by user expertise has existed in nuclear reactor systems analyses since first uncertainty analyses were conducted. Inverse Uncertainty Quantification (IUQ) methods aim at providing an estimation of the distributions of such parameters. This paper compares and assesses two approaches to quantify the uncertainty of critical flow model parameters available in the TRACE code. First novel approach is based on a machine-learning algorithm, using a Random Forest classifier to assign the results of calculations to one of the defined classes of prediction accuracy with respect to experimental data. The second approach is based on Markov Chain Monte Carlo sampling and Bayesian inference. Both methods allows to assign probability distribution functions to TRACE internal variables, which is a goal for IUQ methods. Both approaches were used to estimate uncertainties for four critical flow parameters available in the TRACE code based on the Marviken critical flow experiment. In case of two parameters both methods produced similar results of the probability density functions. Based on the results of machine learning two additional parameters were deemed noninfluential, while for the second method such definitive assessment could not be made." @default.
- W4304124310 created "2022-10-11" @default.
- W4304124310 creator A5019722948 @default.
- W4304124310 creator A5037715856 @default.
- W4304124310 creator A5040529638 @default.
- W4304124310 creator A5064515903 @default.
- W4304124310 date "2023-01-01" @default.
- W4304124310 modified "2023-10-01" @default.
- W4304124310 title "Comparison of inverse uncertainty quantification methods for critical flow test" @default.
- W4304124310 cites W1973333099 @default.
- W4304124310 cites W2025909913 @default.
- W4304124310 cites W2752374510 @default.
- W4304124310 cites W2781796883 @default.
- W4304124310 cites W2785987134 @default.
- W4304124310 cites W2787292049 @default.
- W4304124310 cites W2942938834 @default.
- W4304124310 cites W2954723462 @default.
- W4304124310 cites W2956373560 @default.
- W4304124310 cites W2965546300 @default.
- W4304124310 cites W2977605914 @default.
- W4304124310 cites W2994004042 @default.
- W4304124310 cites W3124220228 @default.
- W4304124310 cites W3131152070 @default.
- W4304124310 cites W3138533684 @default.
- W4304124310 cites W3153063238 @default.
- W4304124310 cites W3203985989 @default.
- W4304124310 cites W4210760129 @default.
- W4304124310 cites W4281491164 @default.
- W4304124310 doi "https://doi.org/10.1016/j.energy.2022.125640" @default.
- W4304124310 hasPublicationYear "2023" @default.
- W4304124310 type Work @default.
- W4304124310 citedByCount "2" @default.
- W4304124310 countsByYear W43041243102023 @default.
- W4304124310 crossrefType "journal-article" @default.
- W4304124310 hasAuthorship W4304124310A5019722948 @default.
- W4304124310 hasAuthorship W4304124310A5037715856 @default.
- W4304124310 hasAuthorship W4304124310A5040529638 @default.
- W4304124310 hasAuthorship W4304124310A5064515903 @default.
- W4304124310 hasConcept C105795698 @default.
- W4304124310 hasConcept C107673813 @default.
- W4304124310 hasConcept C111350023 @default.
- W4304124310 hasConcept C11413529 @default.
- W4304124310 hasConcept C119857082 @default.
- W4304124310 hasConcept C138885662 @default.
- W4304124310 hasConcept C149441793 @default.
- W4304124310 hasConcept C154945302 @default.
- W4304124310 hasConcept C160234255 @default.
- W4304124310 hasConcept C177803969 @default.
- W4304124310 hasConcept C19499675 @default.
- W4304124310 hasConcept C32230216 @default.
- W4304124310 hasConcept C33923547 @default.
- W4304124310 hasConcept C41008148 @default.
- W4304124310 hasConcept C41895202 @default.
- W4304124310 hasConcept C44154836 @default.
- W4304124310 hasConcept C75291252 @default.
- W4304124310 hasConceptScore W4304124310C105795698 @default.
- W4304124310 hasConceptScore W4304124310C107673813 @default.
- W4304124310 hasConceptScore W4304124310C111350023 @default.
- W4304124310 hasConceptScore W4304124310C11413529 @default.
- W4304124310 hasConceptScore W4304124310C119857082 @default.
- W4304124310 hasConceptScore W4304124310C138885662 @default.
- W4304124310 hasConceptScore W4304124310C149441793 @default.
- W4304124310 hasConceptScore W4304124310C154945302 @default.
- W4304124310 hasConceptScore W4304124310C160234255 @default.
- W4304124310 hasConceptScore W4304124310C177803969 @default.
- W4304124310 hasConceptScore W4304124310C19499675 @default.
- W4304124310 hasConceptScore W4304124310C32230216 @default.
- W4304124310 hasConceptScore W4304124310C33923547 @default.
- W4304124310 hasConceptScore W4304124310C41008148 @default.
- W4304124310 hasConceptScore W4304124310C41895202 @default.
- W4304124310 hasConceptScore W4304124310C44154836 @default.
- W4304124310 hasConceptScore W4304124310C75291252 @default.
- W4304124310 hasLocation W43041243101 @default.
- W4304124310 hasOpenAccess W4304124310 @default.
- W4304124310 hasPrimaryLocation W43041243101 @default.
- W4304124310 hasRelatedWork W1517076885 @default.
- W4304124310 hasRelatedWork W2006270063 @default.
- W4304124310 hasRelatedWork W2039637073 @default.
- W4304124310 hasRelatedWork W2064748396 @default.
- W4304124310 hasRelatedWork W2106991107 @default.
- W4304124310 hasRelatedWork W2464065341 @default.
- W4304124310 hasRelatedWork W3080953085 @default.
- W4304124310 hasRelatedWork W3175794431 @default.
- W4304124310 hasRelatedWork W3201166396 @default.
- W4304124310 hasRelatedWork W4315482335 @default.
- W4304124310 hasVolume "263" @default.
- W4304124310 isParatext "false" @default.
- W4304124310 isRetracted "false" @default.
- W4304124310 workType "article" @default.