Document: NRC Regulatory Guide
Document ID: e0d690ec-277f-4fe2-b92f-7f95d0f589a7
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:
nservatisms or non-conservatisms. • Reference documents that contain the foundation for input choices. • Explain the correlations between inputs and how they are modeled and verify that correlated inputs remain consistent and physically valid. • Describe any sensitivity analyses/studies performed to show that the input or its classification does not have a significant effect on the QoI. I-3R • List input distribution type and parameters, as well as sampling frequency (if applicable). • If applicable, list uncertainty classification (aleatory or epistemic) and give the corresponding rationale. • For each uncertain input, describe both its distribution parameter values and its distributional form. Give the rationale (method and data) for selecting each distribution, including any known conservatisms or non-conservatisms in the specified input distributions and the rationale for the conservatism or non-conservatism. Detail the distributional fitting method, including interpolation, extrapolation, distribution truncation, and curve fitting. • Reference documents that contain the foundation for input choices. • Explain the correlations between inputs and how they are modeled and verify that correlated inputs remain consistent and physically valid. • Describe any sensitivity analyses/studies performed to show that the input or its classification does not have a significant effect on the QoI. I-4D • See the submittal guidelines for I-3D. • If there is a lack of data, justify the use of expert judgment. I-4R • See the submittal guidelines for I-3R. • If there is a lack of data, justify the use of expert judgment. RG 1.245 Revision 0, Page 18 2.7. Uncertainty Propagation The applicant should document the methods used to propagate uncertainty through the PFM model such that analysis results may be reproduced. The applicant should determine the PFM analysis uncertainty propagation category, as shown in Table C-6. The applicant should follow the