RAVEN Beta Release

Rabiti, Cristian¹  Alfonsi, Andrea¹  Cogliati, Joshua Joseph¹  Mandelli, Diego¹  Kinoshita, Robert Arthur¹  Wang, Congjian¹  Maljovec, Daniel Patrick¹  Talbot, Paul William¹ 

[1] Idaho National Lab. (INL), Idaho Falls, ID (United States)

关键词: R CODES;    MONTE CARLO METHOD;    PROBABILISTIC ESTIMATION;    RISK ASSESSMENT;    FAILURES;    SAMPLING MOOSE;    nuclear;    optimization;    PRA;    safety;    simulation;    uncertainty quantification;   

DOI  :  10.2172/1245532
RP-ID  :  INL/EXT--16-37953
PID  :  OSTI ID: 1245532
Others  :  TRN: US1601234

美国|英语

来源: SciTech Connect

【 摘 要 】

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.