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Uncertainty Evaluation of Weibull Estimators through Monte Carlo Simulation: Applications for Crack Initiation Testing

School of Mechanical Engineering, Pusan National University, Busan 46241, Korea
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Academic Editor: Jordi Faraudo
Materials 2016, 9(7), 521; https://doi.org/10.3390/ma9070521
Received: 2 May 2016 / Revised: 20 June 2016 / Accepted: 23 June 2016 / Published: 27 June 2016
The typical experimental procedure for testing stress corrosion cracking initiation involves an interval-censored reliability test. Based on these test results, the parameters of a Weibull distribution, which is a widely accepted crack initiation model, can be estimated using maximum likelihood estimation or median rank regression. However, it is difficult to determine the appropriate number of test specimens and censoring intervals required to obtain sufficiently accurate Weibull estimators. In this study, we compare maximum likelihood estimation and median rank regression using a Monte Carlo simulation to examine the effects of the total number of specimens, test duration, censoring interval, and shape parameters of the true Weibull distribution on the estimator uncertainty. Finally, we provide the quantitative uncertainties of both Weibull estimators, compare them with the true Weibull parameters, and suggest proper experimental conditions for developing a probabilistic crack initiation model through crack initiation tests. View Full-Text
Keywords: crack initiation test; estimation uncertainty; Monte Carlo simulation; Weibull distribution crack initiation test; estimation uncertainty; Monte Carlo simulation; Weibull distribution
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Park, J.P.; Bahn, C.B. Uncertainty Evaluation of Weibull Estimators through Monte Carlo Simulation: Applications for Crack Initiation Testing. Materials 2016, 9, 521.

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