Influence of data size on the reliability assessment of creep life of grade 91 steel

다국어 초록 (Multilingual Abstract)

Influence of data size on a reliability assessment of the long-term creep life of Grade 91 steel was investigated for two different sets oflarge body of creep-rupture data comprising 690 (Set-1) and 1072 (Set-2) data points. The Z-parameter on the Larson-Miller parameter ofcreep rupture data supported a normal distribution well. Based on the normal distribution, the reliability of the predicted creep life for thetwo data sets was assessed to obtain variations in reliability owing to fluctuations in the service conditions and the dispersion of the creepdata using a service condition-creep rupture property interference (SCRI) model. A large number of random variables for Z-parameterwere generated using Monte-Carlo simulation. A reliability assessment for the two data sizes under specific service conditions has beencomparatively demonstrated. It was found that the size of the creep-rupture data influenced the reliability of the creep life prediction.

참고문헌 (Reference)

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