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Application of Efficient Methods for Inspection Sensitivity

机译:有效检测灵敏度方法的应用

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Nondestructive evaluation (NDE) inspections play a vital role in the reliability of structural components. NDE inspections are simulated using a Probability-of-Detection curve (POD) that is obtained experimentally. In this paper a methodology using the expectation operator was developed to obtain the sensitivity of the Probability-of-Failure (POF) with respect to parameters of the POD via Monte Carlo Sampling. The methodology scales to any number of inspections and can be integrated with existing Monte Carlo sampling methods. Sensitivities of the probability-of-failure with respect to the parameters of a POD curve were calculated for several numerical examples then compared against analytical and numerical finite difference solutions.

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