RAVEN AS A TOOL FOR DYNAMIC PROBABILISTIC RISK ASSESSMENT: SOFTWARE OVERVIEW

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RAVEN is a software tool under development at the Idaho National Laboratory (INL) that acts as the control logic driver and post-processing tool for the newly developed Thermo-Hydraylic code RELAP- 7. The scope of this paper is to show the software structure of RAVEN and its utilization in connection with RELAP-7. A short overview of the mathematical framework behind the code is presented along with its main capabilities such as on-line controlling/monitoring and Monte-Carlo sampling. A demo of a Station Black Out PRA analysis of a simplified Pressurized Water Reactor (PWR) model is shown in order to demonstrate the Monte-Carlo ... continued below

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Andrea, Alfonsi; Diego, Mandelli; Cristian, Rabiti; Cogliati, Joshua & Kinoshita, Robert May 1, 2013.

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Description

RAVEN is a software tool under development at the Idaho National Laboratory (INL) that acts as the control logic driver and post-processing tool for the newly developed Thermo-Hydraylic code RELAP- 7. The scope of this paper is to show the software structure of RAVEN and its utilization in connection with RELAP-7. A short overview of the mathematical framework behind the code is presented along with its main capabilities such as on-line controlling/monitoring and Monte-Carlo sampling. A demo of a Station Black Out PRA analysis of a simplified Pressurized Water Reactor (PWR) model is shown in order to demonstrate the Monte-Carlo and clustering capabilities.

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  • International Conference on Mathematics and Computational Methods Applied to Nuclear Science & Engin,Sun Valley,05/05/2013,05/09/2013

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  • Report No.: INL/CON-13-28291
  • Grant Number: DE-AC07-05ID14517
  • Office of Scientific & Technical Information Report Number: 1097134
  • Archival Resource Key: ark:/67531/metadc828734

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  • May 1, 2013

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  • May 19, 2016, 9:45 a.m.

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  • June 20, 2016, 3:49 p.m.

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Andrea, Alfonsi; Diego, Mandelli; Cristian, Rabiti; Cogliati, Joshua & Kinoshita, Robert. RAVEN AS A TOOL FOR DYNAMIC PROBABILISTIC RISK ASSESSMENT: SOFTWARE OVERVIEW, article, May 1, 2013; Idaho Falls, Idaho. (digital.library.unt.edu/ark:/67531/metadc828734/: accessed December 12, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.