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RELAP5-3D Developmental Assessment Plan

RELAP5-3D Developmental Assessment Plan. Paul Bayless, INL Doug Barber, ISL. RELAP5 International User’s Seminar November 7, 2007. Outline. General description of plan Description of assessment cases. What is developmental assessment?.

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RELAP5-3D Developmental Assessment Plan

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  1. RELAP5-3D Developmental Assessment Plan Paul Bayless, INL Doug Barber, ISL RELAP5 International User’s Seminar November 7, 2007

  2. Outline • General description of plan • Description of assessment cases

  3. What is developmental assessment? • Using analytic solutions and experiment data to determine how well specific models of the code work • Provides insight into how well the code may be able to model specific phenomena • It is not a comprehensive assessment of the code’s capabilities • Performed by the code developers, rather than by independent users • Results become part of the code documentation

  4. Developmental assessment is part of the code adequacy evaluation process.

  5. A developmental assessment plan for RELAP5-3D has been developed. • Joint effort between ISL and INL • Plan includes • Automated testing framework • Description of how the assessment will progress • List of the expected assessment cases • Preparation of code manual Volume 3

  6. Developmental Assessment Objectives • Perform an assessment of a recent code version • Update the information in the RELAP5 code manuals, specifically Volume III • Automate, as much as possible, the developmental assessment process for future code versions

  7. Automated Testing Framework • Provides a structure for performing the assessment • Used in conjunction with automated validation scripts and tools (SNAP) • Code-to-data comparisons • Code-to-code comparisons • Provides metrics on the comparisons

  8. Developmental Assessment Process • Collect input models and experiment data for the selected cases • Develop automated validation (AV) scripts for each case • Run preliminary calculations • Identify cases that need more work • Check/modify input model • Rerun • Prepare draft documentation of results • Run all cases with a final version of RELAP5-3D (completed FORTRAN 90) • Prepare final documentation (ECD June 2009)

  9. Developmental Assessment Cases • Cases selected based on • Availability of input models • Availability of experiment data • Code models exercised • 54 cases have been selected • 15 phenomenological problems • 28 separate effects experiments • 11 integral effects experiments • Some adjustments may be made during the process

  10. Phenomenological Test Cases • Bubbling steam through liquid • Conduction enclosure • Core power • Fill/drain • Gravity wave/horizontal CCFL (1-D/3-D) • Manometer • Point kinetics ramp • Pryor pressure comparison • 3-D flows (3 cases) • Water faucet • Water over steam (1-D/3-D)

  11. Separate Effects Experiments (1) • Bennett heated tube (CHF) • Chan (two-phase pump) • Christensen (subcooled boiling) • Dukler (CCFL) • Edwards pipe (vapor generation) • FLECHT SEASET (bundle heat transfer) • GE jet pump • GE level swell (two-phase level) • GOTA (radiation heat transfer)

  12. Separate Effects Experiments (2) • LOFT (accumulator) • Marviken (critical flow) • MB2 (steam generator behavior) • MIT pressurizer • Moby Dick (critical flow) • NEPTUNUS (pressurizer) • ORNL THTF (bundle heat transfer) • RIT (CHF) • UPTF (downcomer CCFL)

  13. Separate Effects Phenomena • Two-phase level (10) • Critical heat flux (7) • Critical flow (5) • Subcooled boiling (5) • Post-CHF heat transfer (5) • CCFL (4) • Pressurizer behavior (2) • Accumulator behavior (1) • Steam generator behavior (1) • Jet pump (1) • Two-phase pump behavior (1)

  14. Integral Effects Cases • Three large break LOCAs • LOFT • LOBI • Four small break LOCAs • ROSA • LOFT • Four natural circulation tests • Semiscale

  15. Volume III of the RELAP5 Code Manual • Results from the developmental assessment will be documented in Volume III • Code version and user options will be identified • Judgments about the code/data comparisons will be made • Based on the CSAU terminology • More qualitative than quantitative • Metrics in the automated testing framework may allow a more quantitative approach

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