Experimental investigation and computational modelling of 304LN stainless steel under constant and variable strain path multiaxial loading conditions

•The study investigates the fatigue behavior of 304LN stainless steel under constant and variable strain path multiaxial loading conditions.•Experimental methods and computational modelling were used to analyze the material’s response to different loading scenarios.•The modified Ohno-Wang and Tanaka...

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Veröffentlicht in:International journal of fatigue 2025-01, Vol.190, p.108581, Article 108581
Hauptverfasser: Rao, Surya P., Sivaprasad, S., Bar, H.N., Dey, Partha Pratim
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Sprache:eng
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Zusammenfassung:•The study investigates the fatigue behavior of 304LN stainless steel under constant and variable strain path multiaxial loading conditions.•Experimental methods and computational modelling were used to analyze the material’s response to different loading scenarios.•The modified Ohno-Wang and Tanaka cyclic plasticity framework was used to validate the empirical data gathered from the experimental investigations.•The study used two models for analysis: the MOT model and a modified model that incorporated load history memory regulating functions.•The modified model offered significant improvements in capturing primary hardening and secondary softening across all loading scenarios, as well as simulating transient behavior due to load history effects. This study investigates the fatigue behavior of 304LN stainless steel under constant and variable strain path multiaxial loading conditions. Experimental methods and computational modelling were used to analyze the response of the material to different loading scenarios. Experimental investigations were conducted to gather empirical data, which were subsequently validated using a modified Ohno-Wang and Tanaka cyclic plasticity framework. Two models were used for the analysis: the MOT model and a modified model that incorporated a weighted function and fractional functions for hardening and softening. In contrast, the modified model offers significant improvements, accurately capturing primary hardening and secondary softening across all loading scenarios. Furthermore, the modified model effectively simulates transient behavior, including load alteration and recovery effects, due to the integration of load history memory regulating functions. Overall, this study emphasizes the importance of considering the complexities of cyclic loading and the sensitivity of the material behavior to the loading history.
ISSN:0142-1123
DOI:10.1016/j.ijfatigue.2024.108581