GAMMA multidimensional multicomponent mixture analysis to predict air ingress phenomena in an HTGR

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dc.contributor.authorLim, HSko
dc.contributor.authorNo, Hee Cheonko
dc.date.accessioned2013-03-08T08:07:29Z-
dc.date.available2013-03-08T08:07:29Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued2006-01-
dc.identifier.citationNUCLEAR SCIENCE AND ENGINEERING, v.152, no.1, pp.87 - 97-
dc.identifier.issn0029-5639-
dc.identifier.urihttp://hdl.handle.net/10203/92556-
dc.description.abstractWe developed a multidimensional GAs Multicomponent Mixture Analysis (GAMMA) code in order to investigate chemical reaction behaviors related to an air ingress accident and the thermofluid transients in high-temperature gas-cooled reactors. The implicit continuous Eulerian technique is adopted for the reduction of a 10N x 10N matrix into an N x N pressure difference matrix and fast transient computation. In the validation with a high-temperature engineering test reactor (HTTR)-simulated air ingress experiment, the onset times of natural convection are accurately predicted within a 10% deviation. Small internal leaks in the HTTR-simulated test facility have been found to significantly affect the consequence of air ingress. In all the simulated cases for a SANA-1 afterheat removal test, the predictions of GAMMA are in a high level of agreement with the measured temperature profiles and are comparable to the results of other codes (TINTS, THERMIX/DIREKT, and TRIO-EF).-
dc.languageEnglish-
dc.publisherAMER NUCLEAR SOC-
dc.subjectSYSTEM-
dc.subjectFLOW-
dc.titleGAMMA multidimensional multicomponent mixture analysis to predict air ingress phenomena in an HTGR-
dc.typeArticle-
dc.identifier.wosid000234225000010-
dc.identifier.scopusid2-s2.0-30344431759-
dc.type.rimsART-
dc.citation.volume152-
dc.citation.issue1-
dc.citation.beginningpage87-
dc.citation.endingpage97-
dc.citation.publicationnameNUCLEAR SCIENCE AND ENGINEERING-
dc.contributor.localauthorNo, Hee Cheon-
dc.contributor.nonIdAuthorLim, HS-
dc.type.journalArticleArticle-
dc.subject.keywordPlusSYSTEM-
dc.subject.keywordPlusFLOW-
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