AREVA's realistic large break LOCA analysis methodology

Martin, Roy E.; O'Dell, L.D.

doi:10.1016/j.nucengdes.2005.02.004

Cited by 67 publications

(24 citation statements)

References 10 publications

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“…Realistic calculations in many engineering fields involve the use of Best-Estimate codes, that use the state of the art models to predict the values of a set of magnitudes that need to be calculated to know if these output magnitudes fulfill some restrictions or does not surpass some limiting values [36,37]. In general, some of the input data and model parameter are uncertain, so the predictions of these codes are, in general, subject to uncertainty, and it is necessary to express the output results as tolerance regions with a coverage value and a given confidence, normally 95/95.…”

Section: Discussionmentioning

confidence: 99%

“…Tolerance intervals are built for scalar magnitudes. Many realistic methodologies build the tolerance intervals from the output results using order statistic [5,8,36,37]. This topic is especially true in nuclear engineering applications, where the consequences of errors in the calculations, or the design, performed with these thermal-hydraulic or neutronic codes are more severe.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Use of the Principles of Maximum Entropy and Maximum Relative Entropy for the Determination of Uncertain Parameter Distributions in Engineering Applications

Muñoz-Cobo

Mendizábal

Miquel

et al. 2017

Entropy

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Abstract:The determination of the probability distribution function (PDF) of uncertain input and model parameters in engineering application codes is an issue of importance for uncertainty quantification methods. One of the approaches that can be used for the PDF determination of input and model parameters is the application of methods based on the maximum entropy principle (MEP) and the maximum relative entropy (MREP). These methods determine the PDF that maximizes the information entropy when only partial information about the parameter distribution is known, such as some moments of the distribution and its support. In addition, this paper shows the application of the MREP to update the PDF when the parameter must fulfill some technical specifications (TS) imposed by the regulations. Three computer programs have been developed: GEDIPA, which provides the parameter PDF using empirical distribution function (EDF) methods; UNTHERCO, which performs the Monte Carlo sampling on the parameter distribution; and DCP, which updates the PDF considering the TS and the MREP. Finally, the paper displays several applications and examples for the determination of the PDF applying the MEP and the MREP, and the influence of several factors on the PDF.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Use of the Principles of Maximum Entropy and Maximum Relative Entropy for the Determination of Uncertain Parameter Distributions in Engineering Applications

Muñoz-Cobo

Mendizábal

Miquel

et al. 2017

Entropy

View full text Add to dashboard Cite

show abstract

“…One example is AREVA's 2 / 12 realistic large break LOCA (LB-LOCA) analysis methodology which received approval by USNRC in April 2003. [3] It incorporates the nonparametric statistical approach originally incorporated in the Gesellschaft fur Anlagen und Reaktorsicherheit (GRS) methodology for LOCA analysis. Another example is the Westinghouse automated statistical treatment of uncertainty method (ASTRUM) approved at the end of 2004.…”

Section: Overview Of Csau and Bepumentioning

confidence: 99%

“…The first CSAU demonstration project spent about 13 man-years equivalent resource [1]. AREVA spent 40 staff-years to obtain NRC license for its BEPU large break LOCA analysis method [3]. 9 mixing numerical errors with other uncertainties -due to limitations of two-phase models and numerics in the legacy system analysis codes currently used, it is impossible to separate numerical uncertainty from other uncertainties.…”

Section: Limitations Of Current Csau Practicesmentioning

confidence: 99%

Use of forward sensitivity analysis method to improve code scaling, applicability, and uncertainty (CSAU) methodology

Zhao

Mousseau

2012

Nuclear Engineering and Design

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“…In 2003 Framatome ANP also licensed its realistic LB-LOCA methodology. It uses S-RELAP5 code originally developed by Siemens and follows CSAU approach but was the first to use a nonparametric order statistic method in licensing, eliminating the need for response surfaces [60]. The application of nonparametric order statistics in safety analysis was first proposed by Hofer et al from GRS, Germany [43].…”

Section: Regulatory Bodiesmentioning

confidence: 99%

Framework and Strategies for the Introduction of Best Estimate Models Into the Licensing Process

Sollima

Petrangeli

D'Auria

et al. 2009

Volume 4: Codes, Standards, Licensing and Regulatory Issues; Student Paper Competition

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SOMMARIO. SBO and SBLOCA .................................. 48 4.2.4.1.3. Results of the analysis ......................................................... 49 4.2.4.1.4. Decay heat power ................................................................ 49 4.2.4.1.5. Hot rod temperature............................................................. 55 4.2.4.1.6. Analysis of the results .......................................................... 57 4.2.4.1.7. Conclusion ........................................................................... distribution..................... 59 4.2.4.2.3. Model and calculation cases................................................ 60 4.2.4.2.4. Evaluation of the cell probability .......................................... 61 4.2.4.2.5 LIST OF SYMBOLS U (1979) with 1973 ...................................................................................................... 70 Fig. 55 -LARGE reactor sin, 100 s, produced and absorbed power versus height fine model....................................................................................................... 70 Fig. 56 -CHF comparison, 7 MPa (RELAP5/Mod 2)............................................. 73 Fig. 57 -CHF Comparison 3 MPa (RELAP5/Mod2) .............................................. 73 Fig. 58 -LOFT: core cross flow model................................................................... 76 Fig. 59 -LOFT: core temperature .......................................................................... 76 Fig. 60 -LOFT: core mass flow ............................................................................. 77 Fig. 61 -PWR-1000: core cross flow model .......................................................... 78 Fig. 62 -PWR-1000: core temperature comparison.............................................. 79 Fig. 63 -PWR-1000 ...................................... 136 Fig. A.11 -Schematic processes in the Swedish reactor licensing program....... 137 Fig. A.12 -Schematic of steps in the Swedish reactor licensing program .......... 138 Fig. A.13 -VVER 1000, Steady State: Up and SGs (1 to 4) pressure ................ 143 Fig. A.14 -VVER 1000, Steady State: Core inlet mass flowrate......................... 144 Fig. A.15 -VVER 1000, Steady State: Core and SG exchanged power ............. 144 Fig. A.16 -VVER 1000 1 (up to 11000s)........ 160 Fig. A.44 -Pressure in the upper plenum in the transient 2 (up to 8000s).......... 160 Fig. A.45 -Pressure in the upper plenum in the transient 1 (up to 1200s).......... 161 Fig. A.46 -Pressure in the upper plenum in the transient 2 (up to 1200s).......... 161 Fig. A.47 -Model of the LOFT and PWR core..................................................... 163 XVIII LIST OF TABLES INTRODUCTIONSafety is an essential part for the peaceful use of nuclear power generation. The safety of nuclear power plants is based on the concept of defence in depth [1], Fig. 1, which indicates successive physical barriers (fuel matrix, cladding, primary system pressure boundary and ...

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AREVA's realistic large break LOCA analysis methodology

Cited by 67 publications

References 10 publications

Use of the Principles of Maximum Entropy and Maximum Relative Entropy for the Determination of Uncertain Parameter Distributions in Engineering Applications

Use of the Principles of Maximum Entropy and Maximum Relative Entropy for the Determination of Uncertain Parameter Distributions in Engineering Applications

Use of forward sensitivity analysis method to improve code scaling, applicability, and uncertainty (CSAU) methodology

Framework and Strategies for the Introduction of Best Estimate Models Into the Licensing Process

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