RAVEN: A Framework for the Analysis of Dynamic Stochastic Systems
RAVEN (https://github.com/idaholab/raven) is a flexible and multi-purpose uncertainty quantification, regression analysis, probabilistic risk assessment,
data analysis and model optimization framework.
Depending on the tasks to be accomplished and on the probabilistic characterization of the problem, RAVEN perturbs (e.g., Monte-Carlo, latin hypercube,
reliability surface search) the response of the system under consideration by altering its own parameters.
The system is modeled by third party software (e.g., RELAP5-3D, MAAP5, BISON, etc.) and accessible to RAVEN either directly (software coupling) or indirectly (via input/output files).
The data generated by the sampling process is analyzed using classical statistical and more advanced data mining approaches.
RAVEN also manages the parallel dispatching (i.e. both on desktop/workstation and large High Performance Computing machines) of the software representing the physical model.
RAVEN heavily relies on artificial intelligence algorithms to construct surrogate models of complex physical systems in order to perform uncertainty quantification,
reliability analysis (limit state surface) and parametric studies.
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Advanced probabilistic risk analysis using RAVEN and RELAP-7 Tech. Rep. INL/EXT-14-32491, Idaho National Laboratory (INL), 2014 A. Alfonsi, C. Rabiti, D. Mandelli, J. Cogliati, and R. Kinoshita RAVEN: Development of the adaptive dynamic event tree approach Tech. Rep. INL/MIS-14-33246, Idaho National Laboratory (INL), 2014 C. Rabiti, P. Talbot, A. Alfonsi, D. Mandelli, and J. Cogliati Implementation of stochastic polynomials approach in the RAVEN code Tech. Rep. INL/EXT-13-30611, Idaho NationalLaboratory (INL), 2013 C. Rabiti, A. Alfonsi, D. Mandelli, J. Cogliati, R. Martineau, and C. Smith Deployment and overview of RAVEN capabilities for a probabilistic risk assessment demo for a PWR station blackout Tech. Rep. INL/EXT-13-29510, Idaho National Laboratory (INL), 2013 A. Alfonsi, C. Rabiti, D. Mandelli, J. Cogliati, and R. Kinoshita RAVEN: Dynamic event tree approach Tech. Rep. INL/EXT-13-30203, Idaho National Laboratory (INL), 2013 C. Rabiti, A. Alfonsi, J. Cogliati, D. Mandelli, and R. Kinoshita Reactor analysis and virtual control environment (RAVEN) FY12 report Tech. Rep. INL/EXT-12-27351, Idaho National Laboratory (INL), 2012 |