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Uncertainty quantification of Edwards high-pressure pipe behavior using complex system thermal-hydraulics codes
KTH, School of Engineering Sciences (SCI), Physics, Nuclear Power Safety.ORCID iD: 0000-0002-8856-5246
2018 (English)In: ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE), American Society of Mechanical Engineers (ASME) , 2018Conference paper, Published paper (Refereed)
Abstract [en]

There are different types of uncertainty sources in the Complex System Thermal-Hydraulics Codes calculations resulting in inaccurate computations. The sources include boundary and initial condition, model structure, their corresponding parameters, user inputs, the numerical techniques and the errors in the validation test data. Regarding the codes structure, the uncertainty sources are utilization of simplified mathematical models expressing conservation laws, thermodynamics laws, state equations applicability, discretization of governing equations, and physical characteristics of the simulated system. The Edwards high-pressure test tube is a well-known test for verifying the results of simulating complex numerical codes. On the other hand, the existence of deterministic values in the initial, boundary conditions and geometric dimensions can challenge the results of this experiment. In this study, a probabilistic approach is utilized to study the behavior of the Edwards High-Pressure pipe using RELAP5 Complex System Thermal-Hydraulics Code. A probabilistic distribution is estimated with appropriate accuracy for the experiment uncertainties. An efficient approach consisting of Wilks sampling method is implemented to quantify the uncertainty of experimental results. 

Place, publisher, year, edition, pages
American Society of Mechanical Engineers (ASME) , 2018.
Keywords [en]
Edwards high-pressure pipe, Experimental data, Thermal-Hydraulics codes, Uncertainty quantification, Codes (symbols), Equations of state, Hydraulics, Probability distributions, Thermodynamics, Boundary and initial conditions, Physical characteristics, Probabilistic approaches, Probabilistic distribution, Simplified mathematical model, Thermal hydraulics codes, Uncertainty quantifications, Uncertainty analysis
National Category
Computational Mathematics
Identifiers
URN: urn:nbn:se:kth:diva-252278DOI: 10.1115/IMECE2018-88053ISI: 000465189900017Scopus ID: 2-s2.0-85063140118ISBN: 9780791852040 (print)OAI: oai:DiVA.org:kth-252278DiVA, id: diva2:1321146
Conference
ASME 2018 International Mechanical Engineering Congress and Exposition, IMECE 2018, 9 November 2018 through 15 November 2018
Note

QC20190607

Available from: 2019-06-07 Created: 2019-06-07 Last updated: 2019-06-07Bibliographically approved

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Hoseyni, Seyed Mohsen

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CiteExportLink to record
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Citation style
  • apa
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