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Abstract Details
Activity Number:
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334
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Type:
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Topic Contributed
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Date/Time:
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Tuesday, August 2, 2011 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Physical and Engineering Sciences
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Abstract - #300609 |
Title:
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Reliability Modeling of Nuclear Power Plant Subsystems Using Statistical Flowgraphs
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Author(s):
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David H. Collins*+
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Companies:
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Los Alamos National Laboratory
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Address:
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PO Box 1663, MS-F600 , Los Alamos, NM, 87545 ,
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Keywords:
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Nuclear energy ;
Flowgraphs ;
Semi-Markov process ;
Reliability model
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Abstract:
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Nuclear power plants (NPPs) play an important role in energy security and reduction of airborne pollutants. As part of the U.S. Department of Energy's reactor sustainability program, we are developing models to characterize the reliability and safety of NPP piping subsystems. Subsystems are represented as statistical flowgraphs, with vertices representing states of partial or complete failure and edges representing probability distributions for transitions between states. Failure transitions are driven by processes based on material properties of the pipes, and the physical and chemical dynamics of the fluid being carried. Repair transitions are based on detection of leakage by visual inspection, or non-visible flaws by radiography or ultrasound. Given the complexity of the transition processes, we model the subsystems as semi-Markov processes, using the flowgraph methodology to solve for quantities of interest such as the hazard rate for pipe rupture.
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Authors who are presenting talks have a * after their name.
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