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Modeling the Cyclic Behavior of Shape Memory Alloys

  • SPECIAL ISSUE: THEORY, MODELING, AND SIMULATION OF SHAPE MEMORY ALLOYS, INVITED PAPER
  • Published:
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Abstract

The phenomenon of functional fatigue occurs during cyclic loading of pseudoelastic shape memory alloys. We model this effect by considering an irreversible martensitic volume fraction in addition to the reversible amounts of austenite and martensite based on variational principles. The inclusion of irreversible martensitic volume fractions coincides with experimental observations and enables the model to be easily calibrated without any fitting functions. In our previous studies, we modeled the polycrystalline material structure by static discretization of a relatively large number of randomly chosen grain orientations, which required much numerical effort. In contrast, we now apply a dynamic representation of the orientation distribution function to the modeling of functional fatigue which has proven to be beneficial regarding the numerical performance. To this end, we take into account an averaged grain orientation parameterized by three Euler angles that serve as additional internal variables. This results in an extremely reduced numerical effort. The model derivation is given along with the numerical implementation and computer experiments on the cyclic behavior of shape memory alloys.

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Authors and Affiliations

  1. Institute of Mechanics of Materials, Ruhr-Universität Bochum, IC 03-713, Universitätsstraße 150, 44801, Bochum, Germany

    Johanna Waimann & Klaus Hackl

  2. Institute of Continuum Mechanics, Ruhr-Universität Bochum, IC 03-741, Universitätsstraße 150, 44801, Bochum, Germany

    Philipp Junker

Authors
  1. Johanna Waimann
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  2. Philipp Junker
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  3. Klaus Hackl
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Corresponding author

Correspondence to Johanna Waimann.

Additional information

Submitted to Shape Memory and Superelasticity— Invited Special Issue Contribution [2016].

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Waimann, J., Junker, P. & Hackl, K. Modeling the Cyclic Behavior of Shape Memory Alloys. Shap. Mem. Superelasticity 3, 124–138 (2017). https://doi.org/10.1007/s40830-017-0105-4

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  • DOI: https://doi.org/10.1007/s40830-017-0105-4

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