Statistical analysis of S N type environmental fatigue data of Ni-base alloy welds using weibull distribution

• DOI: 10.1016/j.net.2022.08.005
• Publication Date: 2022-08-16T09:38:25Z
• Authors: Jae Phil Park; Junhyuk Ham; Subhasish Mohanty; Dayu Fajrul Falaakh; Ji Hyun Kim; Chi Bum Bahn
• Keywords: Margin (machine learning); Weibull modulus

In this study, the probabilistic fatigue life model for Ni-base alloys was developed based on Weibull distribution using statistical analysis of data reported in NUREG/CR-6909 and new Alloy 52M/152 82/182. The can consider right-censored (i.e., non-failed data) quantify improved safety (or reliability) level failure probability. overall margin current design limit (ASME curve + Fen model) is similar to that with a cumulative probability approximately 2.5%. demonstrated inconsistencies alloy weld data, whereas showed consistent margin. Therefore, systematically mitigate excessive