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DAKOTA reliability methods applied to RAVEN/RELAP-7.
Author(s) -
Laura Swiler,
Diego Mandelli,
Cristian Rabiti,
Andrea Alfonsi
Publication year - 2013
Publication title -
osti oai (u.s. department of energy office of scientific and technical information)
Language(s) - English
Resource type - Reports
DOI - 10.2172/1096510
Subject(s) - reliability (semiconductor) , reliability engineering , blackout , probabilistic logic , computer science , sensitivity (control systems) , nuclear power plant , power (physics) , engineering , electric power system , artificial intelligence , physics , quantum mechanics , electronic engineering , nuclear physics
This report summarizes the result of a NEAMS project focused on the use of reliability methods within the RAVEN and RELAP-7 software framework for assessing failure probabilities as part of probabilistic risk assessment for nuclear power plants. RAVEN is a software tool under development at the Idaho National Laboratory that acts as the control logic driver and post-processing tool for the newly developed Thermal-Hydraulic code RELAP-7. Dakota is a software tool developed at Sandia National Laboratories containing optimization, sensitivity analysis, and uncertainty quantification algorithms. Reliability methods are algorithms which transform the uncertainty problem to an optimization problem to solve for the failure probability, given uncertainty on problem inputs and a failure threshold on an output response. The goal of this work is to demonstrate the use of reliability methods in Dakota with RAVEN/RELAP-7. These capabilities are demonstrated on a demonstration of a Station Blackout analysis of a simplified Pressurized Water Reactor (PWR).

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