Abstract

Notch fatigue significantly challenges the structural integrity of notched components in engineering. This study improved traditional theory of critical distance (TCD) by refining its effective stress formula and critical distance model, while also incorporating Weibull distribution to develop probabilistic fatigue assessment frameworks. Subsequently, the feasibility of these frameworks was validated using fatigue test data from typical notched specimens made of Al2024-T351 and En3B materials. Based on this validation, P-S-N curves for typical notched details in steel bridges were estimated. The results show that the predicted P-S-N curves closely align with fatigue test data and have lower prediction errors than traditional TCD, which verifies the effectiveness of the proposed frameworks in evaluating typical notched details in steel bridges. Additionally, these P-S-N curves offer a potential for assessing the probabilistic fatigue life of similar notched details in steel bridges.

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