Abstract
The evaluation of measurement uncertainty by testing laboratories has a direct impact on the interpretation of the results. In several cases, it is recommended to determine the measurement uncertainty by the Monte Carlo method (MCM), which considers the propagation of distributions rather than the propagation of uncertainty. Measurement uncertainty of plane-strain fracture toughness KIC test was evaluated through the MCM and an examination of the influence of the probability distribution on the uncertainty values was performed through analysis of variance (ANOVA). In addition, results were compared to those obtained by the Guide to the Expression of Uncertainty in Measurement (GUM). Results demonstrate the importance of using the Monte Carlo method for the evaluation of measurement uncertainty and confirm that the probability distribution of input data has a significant influence on the expanded uncertainty values obtained for the plane-strain fracture toughness test.
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