Development, analysis, and evaluation of a commercial software framework for the study of Extremely Low Probability of Rupture (xLPR) events at nuclear power plants. Page: 3 of 338
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SAND2010-8480
Unlimited Release
Printed December 2010
Development, Analysis, and Evaluation of a Commercial Software
Framework for the Study of Extremely Low Probability of Rupture
(xLPR) Events at Nuclear Power Plants
Patrick D. Mattie, Cedric J. Sallaberry,
Jon C. Helton and Donald A. Kalinich
Reactor Modeling & Analysis
Nuclear Energy & Global Security Technologies
Sandia National Laboratories
P.O. Box 5800
Albuquerque, New Mexico 87185-MS0748
Abstract
Sandia National Laboratories (SNL) participated in a Pilot Study to examine the process and
requirements to create a software system to assess the extremely low probability of pipe rupture
(xLPR) in nuclear power plants. This project was tasked to develop a prototype xLPR model
leveraging existing fracture mechanics models and codes coupled with a commercial software
framework to determine the framework, model, and architecture requirements appropriate for
building a modular-based code. The xLPR pilot study was conducted to demonstrate the feasibility
of the proposed developmental process and framework for a probabilistic code to address
degradation mechanisms in piping system safety assessments. The pilot study includes a
demonstration problem to assess the probability of rupture of DM pressurizer surge nozzle welds
degraded by primary water stress-corrosion cracking (PWSCC). The pilot study was designed to
define and develop the framework and model; then construct a prototype software system based on
the proposed model. The second phase of the project will be a longer term program and code
development effort focusing on the generic, primary piping integrity issues (xLPR code). The results
and recommendations presented in this report will be used to help the U.S. Nuclear Regulatory
Commission (NRC) define the requirements for the longer term program.iii
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Kalinich, Donald A.; Helton, Jon Craig; Sallaberry, Cedric M. & Mattie, Patrick D. Development, analysis, and evaluation of a commercial software framework for the study of Extremely Low Probability of Rupture (xLPR) events at nuclear power plants., report, December 1, 2010; United States. (https://digital.library.unt.edu/ark:/67531/metadc846452/m1/3/: accessed March 29, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT Libraries Government Documents Department.