• Medientyp: E-Artikel
  • Titel: ANSWERS® TOOLS FOR UNCERTAINTY QUANTIFICATION AND VALIDATION
  • Beteiligte: Smith, Paul N; Hanlon, Dave; Dobson, Geoff; Hiles, Richard; Fry, Tim; Stefanowska, Magda; Richards, Simon; Murphy, Christophe
  • Erschienen: EDP Sciences, 2021
  • Erschienen in: EPJ Web of Conferences
  • Sprache: Nicht zu entscheiden
  • DOI: 10.1051/epjconf/202124715015
  • ISSN: 2100-014X
  • Schlagwörter: General Earth and Planetary Sciences ; General Engineering ; General Environmental Science
  • Entstehung:
  • Anmerkungen:
  • Beschreibung: <jats:p>ANSWERS® is developing a set of uncertainty quantification (UQ) tools for use with its major physics codes: WIMS/PANTHER (reactor physics), MONK (criticality and reactor physics) and MCBEND (shielding and dosimetry). The Visual Workshop integrated development environment allows the user to construct and edit code inputs, launch calculations, post-process results and produce graphs, and recently uncertainty quantification and optimisation tools have been added.</jats:p> <jats:p>Prior uncertainties due to uncertainties in nuclear data or manufacturing tolerances can be estimated using the sampling method or using the sensitivity options in the physics codes combined with appropriate covariance matrices. To aid the user in the choice of appropriate validation experiments, the MONK categorisation scheme and/or a similarity index can be used. An interactive viewer has been developed which allows the user to search through, and browse details of, over 2,000 MONK validation experiments that have been analysed from the ICSBEP and IRPhE validation sets. A Bayesian updating approach is used to assimilate the measured data with the calculated results. It is shown how this process can be used to reduce bias in calculated results and reduce the calculated uncertainty on those results. This process is illustrated by application to a PWR fuel assembly.</jats:p>
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