Time-dependent fatigue reliability assessment for welded joints of orthotropic steel bridge decks based on the probability density evolution method

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Journal of Vibration and Shock ›› 2024, Vol. 43 ›› Issue (18) : 87-95.

HAO Jing1，LU Hailin1,2，CHEN Long3

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Abstract

A time-dependent fatigue reliability assessment method based on probability density evolution method was proposed for the orthotropic steel deck with welded joints, and the application was presented with the examples of a welded rib-to-deck joint for Runyang Bridge. Firstly, based on the S-N curve and Miner’s rule, the fatigue limit state function of the welded joints in steel deck with consideration of the degradation of the fatigue behavior and growth of loading effects was established, and the probability density evolution equation of that was derived. Then, this equation was solved by the finite difference method to obtain the corresponding probability density evolution surface, and then a time-dependent fatigue reliability assessment method for that was established. Finally, the feasibility and accuracy of the proposed method was verified through an engineering example, and the influences of degradation of the fatigue behavior and growth of loading effects on time-dependent fatigue reliability of the welded joints were discussed. The results reveal that the proposed method possesses of preferable computational precision, efficiency, and can capture the probability density evolution information by comparison with Monte Carlo method. Degradation of the fatigue behavior and growth of loading effects significantly affect the fatigue life of the welded joints in orthotropic steel deck.

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Time-dependent fatigue reliability / orthotropic steel deck / probability density evolution method / degradation of the fatigue behavior / growth of loading effects

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HAO Jing1, LU Hailin1, 2, CHEN Long3. Time-dependent fatigue reliability assessment for welded joints of orthotropic steel bridge decks based on the probability density evolution method[J]. Journal of Vibration and Shock, 2024, 43(18): 87-95

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