IMPACT OF THE NUMBER OF MROZ SURFACES ON THE REPRESENTATION OF THE BAUSCHINGER EFFECT.

  • Research Scholar, Department of Industrial and Mechanical Engineering, University of Yaounde 1/National Advanced School of Engineering of Yaounde/Materials and Mechanics Laboratory, Yaounde, Cameroon.
  • Associate Professor, Department of Industrial and Mechanical Engineering, University of Yaounde 1/National Advanced School of Engineering of Yaounde Materials and Mechanics Laboratory, Yaounde, Cameroon.
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This research work analyses the influence of the number of surfaces in the Mroz model on the representation of the Bauschinger effect for two steels (SS-304 and C35). To implement it, we carried out numerical simulations, using a modified Aleksander Karolczuk algorithm, which enabled us to generate stress-strain curves and also to calculate the Bauschinger parameters. The results show that an increased number of surfaces improves accuracy, visible in smoother transitions during loading reversals and stabilisation of parameters. However, an optimal number of surfaces, depending on the material and parameter studied, is required to balance accuracy and computational cost. C35 steel converges faster than SS-304, suggesting less complex behaviour. We have identified a convergence threshold, beyond which increasing the number of surfaces no longer brings significant gains.

[J. D. Yo, A.P. B. Kenmeugne, A.P. G. Mbobda, A.P. T. Tchotang and D. Njedock (2025); IMPACT OF THE NUMBER OF MROZ SURFACES ON THE REPRESENTATION OF THE BAUSCHINGER EFFECT. Int. J. of Adv. Res. (Nov). 74-86] (ISSN 2320-5407). www.journalijar.com

YO JOSEPH DESIRE
Department of Industrial and Mechanical Engineering, University of Yaoundé 1/National Advanced School of Engineering of Yaoundé/Materials and Mechanics Laboratory, Yaoundé, Cameroon.
Cameroon

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