Using Markov Chain models to describe crack growth and inspection effectiveness
Conference
·
· Am. Soc. Mech. Eng., (Pap.); (United States)
OSTI ID:5483412
This paper describes the use of a simple Markov Chain model for probabilistic fracture mechanics calculations. The model describes the effects of nondestructive inspection as well as crack growth and allows inspection scenarios to be evaluated efficiently. Failure probabilities can be calculated analytically from the model, and Monte Carlo simulation is not required. Markov Chain model results are compared to that of a more complicated Monte Carlo computer code. Finally, the Markov Chain is used to examine crack growth in a feedwater line. These feedwater line results illustrate the interrelationships between inspection effectiveness, material quality and crack growth.
- Research Organization:
- Pacific Northwest Laboratory, Richland, WA
- OSTI ID:
- 5483412
- Report Number(s):
- CONF-830607-
- Journal Information:
- Am. Soc. Mech. Eng., (Pap.); (United States), Journal Name: Am. Soc. Mech. Eng., (Pap.); (United States) Vol. 83-PVP-88; ISSN ASMSA
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
42 ENGINEERING
420200* -- Engineering-- Facilities
Equipment
& Techniques
COMPUTER CODES
CRACK PROPAGATION
FAILURE MODE ANALYSIS
FAILURES
FEEDWATER
FRACTURE MECHANICS
HYDROGEN COMPOUNDS
MARKOV PROCESS
MATERIALS TESTING
MECHANICS
MONTE CARLO METHOD
NONDESTRUCTIVE TESTING
OXYGEN COMPOUNDS
PIPES
PROBABILITY
STOCHASTIC PROCESSES
SYSTEM FAILURE ANALYSIS
SYSTEMS ANALYSIS
TESTING
WATER
420200* -- Engineering-- Facilities
Equipment
& Techniques
COMPUTER CODES
CRACK PROPAGATION
FAILURE MODE ANALYSIS
FAILURES
FEEDWATER
FRACTURE MECHANICS
HYDROGEN COMPOUNDS
MARKOV PROCESS
MATERIALS TESTING
MECHANICS
MONTE CARLO METHOD
NONDESTRUCTIVE TESTING
OXYGEN COMPOUNDS
PIPES
PROBABILITY
STOCHASTIC PROCESSES
SYSTEM FAILURE ANALYSIS
SYSTEMS ANALYSIS
TESTING
WATER