Fatigue cracks are one of the most common causes of structure failure. Structural health monitoring (SHM) has shown important practical significance in ensuring the safety of civil infrastructures by providing continuous, accurate, and reliable monitoring at low cost. Given that data provided by SHM involves various types of uncertainty, this study presents the interval-random hybrid model for fatigue life based on fatigue crack growth theory. By introducing global sensitivity indices, the influences of different variables on the variance of structural fatigue life are analyzed. To enhance computational efficiency, the method is proposed by combining the space partition with unscented transformation (SP-UT).
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Shiyu Liu (2024) studied this question.
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