Feed-and-bleed transient analysis of OSU APEX facility using the modern Code Scaling, Applicability, and Uncertainty method

The nuclear industry has long relied upon bounding parametric analyses in predicting the safety margins of reactor designs undergoing design-basis accidents. These methods have been known to return highly-conservative results, limiting the operating conditions of the reactor. The Best-Estimate Plus...

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Bibliographic Details
Main Author: Hallee, Brian Todd
Other Authors: Wu, Qiao
Language:en_US
Published: 2013
Subjects:
NRC
Online Access:http://hdl.handle.net/1957/37872
id ndltd-ORGSU-oai-ir.library.oregonstate.edu-1957-37872
record_format oai_dc
spelling ndltd-ORGSU-oai-ir.library.oregonstate.edu-1957-378722013-03-26T03:48:52ZFeed-and-bleed transient analysis of OSU APEX facility using the modern Code Scaling, Applicability, and Uncertainty methodHallee, Brian ToddAPEXBEPUCSAUDAKOTAEMDAPfeed and bleedLOCAintegral test facilityintegral effects testlight water reactorpressurized water reactorPCT peak cladding temperatureRELAPresponse surfacebayesian statisticswilks method formulaNRCuncertainty quantificationsensitivity analysisthermal hydraulic safety analysisLight water reactors -- Safety measures -- Mathematical modelsWater cooled reactors -- Loss of coolant -- Mathematical modelsLight water reactors -- Risk assessmentNuclear power plants -- Thermodynamics -- Mathematical modelsThe nuclear industry has long relied upon bounding parametric analyses in predicting the safety margins of reactor designs undergoing design-basis accidents. These methods have been known to return highly-conservative results, limiting the operating conditions of the reactor. The Best-Estimate Plus Uncertainty (BEPU) method using a modernized version of the Code-Scaling, Applicability, and Uncertainty (CSAU) methodology has been applied to more accurately predict the safety margins of the Oregon State University Advanced Plant Experiment (APEX) facility experiencing a Loss-of-Feedwater Accident (LOFA). The statistical advantages of the Bayesian paradigm of probability was utilized to incorporate prior knowledge when determining the analysis required to justify the safety margins. RELAP5 Mod 3.3 was used to accurately predict the thermal-hydraulics of a primary Feed-and-Bleed response to the accident using assumptions to accompany the lumped-parameter calculation approach. A novel coupling of thermal-hydraulic and statistical software was accomplished using the Symbolic Nuclear Analysis Package (SNAP). Uncertainty in Peak Cladding Temperature (PCT) was calculated at the 95/95 probability/confidence levels under a series of four separate sensitivity studies.Graduation date: 2013Wu, Qiao2013-03-25T21:17:08Z2013-03-25T21:17:08Z2013-03-052013-03-05Thesis/Dissertationhttp://hdl.handle.net/1957/37872en_US
collection NDLTD
language en_US
sources NDLTD
topic APEX
BEPU
CSAU
DAKOTA
EMDAP
feed and bleed
LOCA
integral test facility
integral effects test
light water reactor
pressurized water reactor
PCT peak cladding temperature
RELAP
response surface
bayesian statistics
wilks method formula
NRC
uncertainty quantification
sensitivity analysis
thermal hydraulic safety analysis
Light water reactors -- Safety measures -- Mathematical models
Water cooled reactors -- Loss of coolant -- Mathematical models
Light water reactors -- Risk assessment
Nuclear power plants -- Thermodynamics -- Mathematical models
spellingShingle APEX
BEPU
CSAU
DAKOTA
EMDAP
feed and bleed
LOCA
integral test facility
integral effects test
light water reactor
pressurized water reactor
PCT peak cladding temperature
RELAP
response surface
bayesian statistics
wilks method formula
NRC
uncertainty quantification
sensitivity analysis
thermal hydraulic safety analysis
Light water reactors -- Safety measures -- Mathematical models
Water cooled reactors -- Loss of coolant -- Mathematical models
Light water reactors -- Risk assessment
Nuclear power plants -- Thermodynamics -- Mathematical models
Hallee, Brian Todd
Feed-and-bleed transient analysis of OSU APEX facility using the modern Code Scaling, Applicability, and Uncertainty method
description The nuclear industry has long relied upon bounding parametric analyses in predicting the safety margins of reactor designs undergoing design-basis accidents. These methods have been known to return highly-conservative results, limiting the operating conditions of the reactor. The Best-Estimate Plus Uncertainty (BEPU) method using a modernized version of the Code-Scaling, Applicability, and Uncertainty (CSAU) methodology has been applied to more accurately predict the safety margins of the Oregon State University Advanced Plant Experiment (APEX) facility experiencing a Loss-of-Feedwater Accident (LOFA). The statistical advantages of the Bayesian paradigm of probability was utilized to incorporate prior knowledge when determining the analysis required to justify the safety margins. RELAP5 Mod 3.3 was used to accurately predict the thermal-hydraulics of a primary Feed-and-Bleed response to the accident using assumptions to accompany the lumped-parameter calculation approach. A novel coupling of thermal-hydraulic and statistical software was accomplished using the Symbolic Nuclear Analysis Package (SNAP). Uncertainty in Peak Cladding Temperature (PCT) was calculated at the 95/95 probability/confidence levels under a series of four separate sensitivity studies. === Graduation date: 2013
author2 Wu, Qiao
author_facet Wu, Qiao
Hallee, Brian Todd
author Hallee, Brian Todd
author_sort Hallee, Brian Todd
title Feed-and-bleed transient analysis of OSU APEX facility using the modern Code Scaling, Applicability, and Uncertainty method
title_short Feed-and-bleed transient analysis of OSU APEX facility using the modern Code Scaling, Applicability, and Uncertainty method
title_full Feed-and-bleed transient analysis of OSU APEX facility using the modern Code Scaling, Applicability, and Uncertainty method
title_fullStr Feed-and-bleed transient analysis of OSU APEX facility using the modern Code Scaling, Applicability, and Uncertainty method
title_full_unstemmed Feed-and-bleed transient analysis of OSU APEX facility using the modern Code Scaling, Applicability, and Uncertainty method
title_sort feed-and-bleed transient analysis of osu apex facility using the modern code scaling, applicability, and uncertainty method
publishDate 2013
url http://hdl.handle.net/1957/37872
work_keys_str_mv AT halleebriantodd feedandbleedtransientanalysisofosuapexfacilityusingthemoderncodescalingapplicabilityanduncertaintymethod
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