Document: NRC Regulatory Guide
Document ID: aa450282-f5b0-4dd2-b41a-917a7491deb2
Document Type: regulatory_guide
Title: Preparing Probabilistic Fracture Mechanics (Rev. 0)
Source: NRC Regulatory Guide Division 1
Source URL: https://www.nrc.gov/docs/ML2133/ML21334A158.pdf
Revision Date: 2023-05
Chapter: 
Section ID: RG-1.245
CFR Part: 
CFR Title: 

Content:
s risks in that it can miss important inputs if the input/output relationship is nonlinear. Sensitivity analysis should be performed unless there is a strong basis for what inputs are important (e.g., previous analyses, expert judgment, or it is obvious what inputs are important since it is a simple code). b Inputs must remain the same because sensitivity is dependent on the input distributions. RG 1.245 Revision 0, Page 23 2.10. Quantity of Interest Uncertainty Characterization The applicant should characterize the uncertainty of the QoI to interpret the results of the analysis. In its description of the QoI uncertainty, the applicant should include a measure of the best estimate and uncertainty of the QoI, a graphical summary of the QoI uncertainty, and a detailed description of how the best estimate and its uncertainty were calculated. The applicant should also summarize the key uncertainties considered in the analysis, as well as any major assumptions (including conservatisms and simplifications) and assess their impact on the analysis conclusions. The applicant should independently assess each QoI and determine the category for each applicable QoI, as shown in Table C-9. The applicant should follow the guidelines in Table C-9 to document the QoI uncertainty of each QoI, based on the category of each QoI. Table C-9: Submittal Guidelines for Output Uncertainty Characterization Category Description Submittal Guidelines O-1 Acceptance criteria met with at least one order of magnitude margin • Give a measure of the best estimate and uncertainty in the QoI. • Include a graphical display of the output uncertainty. • Describe how the best estimate and its uncertainty were calculated, including a clear description of the types of uncertainty (e.g., input, sampling, epistemic) being summarized. • Summarize key uncertainties considered in the analysis and any major assumptions, conservatisms, or simplifications that were included and assess (qualitative or