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Adaptive Dynamic Event Tree in RAVEN code

Conference ·
OSTI ID:1236822
 [1];  [1];  [1];  [1];  [1]
  1. Idaho National Laboratory
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RAVEN is a software tool that is focused on performing statistical analysis of stochastic dynamic systems. RAVEN has been designed in a high modular and pluggable way in order to enable easy integration of different programming languages (i.e., C++, Python) and coupling with other applications (system codes). Among the several capabilities currently present in RAVEN, there are five different sampling strategies: Monte Carlo, Latin Hyper Cube, Grid, Adaptive and Dynamic Event Tree (DET) sampling methodologies. The scope of this paper is to present a new sampling approach, currently under definition and implementation: an evolution of the DET me
Research Organization:
Idaho National Laboratory (INL), Idaho Falls, ID (United States)
Sponsoring Organization:
USDOE Office of Nuclear Energy (NE)
DOE Contract Number:
AC07-05ID14517;
OSTI ID:
1236822
Report Number(s):
INL/CON-14-32595
Conference Information:
ANS Winter Meeting, Anaheim, CA, 11/9/2014 - 11/13/2014
Country of Publication:
United States
Language:
English

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Related Subjects

Dynamic Event Tree
RAVEN