Document: NUREG-0800
Document ID: b07c8dd1-23f6-41f1-a3ba-aa378f9ea59a
Document Type: srp
Title: RISK-INFORMED INSERVICE INSPECTION
Source: NUREG-0800
Source URL: https://www.nrc.gov/docs/ML0325/ML032510135.pdf
Revision Date: 2023-06
Chapter: 3
Section ID: 3.9.8
CFR Part: 
CFR Title: 

Content:
at inspections will be performed in 3.9.8-5 accordance with the schedule of Inspection Program A or Program B as specified in ASME B&PVC Section XI. When data analysis is utilized, appropriateness and completeness of data and whether data is taken over time is evaluated. Probabilistic structural analysis techniques may be used to estimate a numerical frequency or probability of piping segment failure. This method uses conventional structural analysis techniques, such as fracture mechanics analysis, in combination with probabilistic methods, such as Monte-Carlo simulation. These techniques are implemented by computer codes to estimate failure probabilities as a function of time. The probabilistic structural analysis methodology for the determination of piping failure probabilities is reviewed to determine the appropriate application of fracture mechanics analysis and Monte-Carlo simulation techniques. Benchmarking of computer codes based on comparison with industry standard codes as well as operating experience is also reviewed. The applicant should demonstrate that the methodology is able to identify significant differences in failure frequencies or probabilities arising from differences in material properties and environmental influences such as the presence of known degradation mechanisms. Alternatively, expert opinion or categorization based on degradation mechanisms may be used in conjunction with, or in lieu of, fracture mechanics analysis to assign each element into a small number of failure-potential categories: high, medium, or low for example. In such cases, the process and basis of failure-potential determination is reviewed. For both quantitative estimates and classification into similar groups, the manner in which failure modes, applicable industry experience, piping material, degradation mechanisms, and various other parameters are identified and considered is evaluated. There are numerous uncertainties involved in performing an assessment of segment