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DOE OSTI · 1245532

RAVEN Beta Release

Rabiti, Cristian·Alfonsi, Andrea·Cogliati, Joshua Joseph·Mandelli, Diego·Kinoshita, Robert Arthur·Wang, Congjian·Maljovec, Daniel Patrick·Talbot, Paul William
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Abstract

This documents the release of the Risk Analysis Virtual Environment (RAVEN) code. A description of the RAVEN code is provided, and discussion of the release process for the M2LW-16IN0704045 milestone. The RAVEN code is a generic software framework to perform parametric and probabilistic analysis based on the response of complex system codes. RAVEN is capable of investigating the system response as well as the input space using Monte Carlo, Grid, or Latin Hyper Cube sampling schemes, but its strength is focused toward system feature discovery, such as limit surfaces, separating regions of the input space leading to system failure, using dynamic supervised learning techniques. RAVEN has now increased in maturity enough for the Beta 1.0 release.

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22 GENERAL STUDIES OF NUCLEAR REACTORS97 MATHEMATICS AND COMPUTINGFAILURESMONTE CARLO METHODMOOSEnuclearoptimizationPRAPROBABILISTIC ESTIMATIONR CODESRISK ASSESSMENTsafetySAMPLINGsimulationuncertainty quantification

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Rabiti, Cristian, Alfonsi, Andrea, Cogliati, Joshua Joseph, Mandelli, Diego, Kinoshita, Robert Arthur, Wang, Congjian, Maljovec, Daniel Patrick, Talbot, Paul William. 2016-02-01. RAVEN Beta Release. https://doi.org/10.2172/1245532

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