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:
ut binary outputs inherently must be category SC-2 or SC-3 unless epistemic and aleatory uncertainties are separated. b Some assessment of uncertainty is necessary, even if qualitative, as long as the uncertainty itself is understood to be small. RG 1.245 Revision 0, Page 21 2.9. Sensitivity Analyses In most cases, the applicant should perform sensitivity analyses to identify the inputs that drive the QoI uncertainty. The applicant should assess its PFM software and analysis to determine the sensitivity analyses category shown in Table C-8. The applicant should follow the guidelines in Table C-8 to document the details of sensitivity analyses. If the combination of PFM software and analysis belongs to category SA-1 in Table C-8, the NRC does not recommend performing sensitivity analyses. If the submittal presents several PFM analyses, the applicant should determine the sensitivity analysis category for each PFM analysis and document sensitivity analyses for each PFM analysis according to the guidelines in Table C-8. RG 1.245 Revision 0, Page 22 Table C-8: Submittal Guidelines for Sensitivity Analyses Category Description Sensitivity Analysis Needed? a Submittal Guidelines SA-1 Previously approved code (QV-1A, QV-1B) with same QoI characteristic and same input parameters b No • Describe important input and measure of input importance from previous use. SA-2 Previously approved code (QV-1A, QV-1B) with different QoI Yes • Explain the methods used for sensitivity analysis, including any initial screening and model approximations and assumptions. • State whether a local or global sensitivity analysis approach is used. • Give the QoI used for the sensitivity analysis. • For a global sensitivity analysis, describe the sampling scheme along with the rationale for selection, including the sampling technique, number of model realizations, and random seed for the model realizations. • Provide the results of the sensitivity analysis, including the most important