Variational Modeling and Finite-Element Simulation of Functional Fatigue in Polycrystalline Shape Memory Alloys

Johanna Waimann (), Klaus Hackl () and Philipp Junker ()
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Johanna Waimann: RWTH Aachen University
Klaus Hackl: Ruhr-Universität Bochum
Philipp Junker: Ruhr-Universität Bochum

Journal of Optimization Theory and Applications, 2020, vol. 184, issue 1, No 6, 98-124

Abstract: Abstract Based on our previous works, we present the finite-element implementation of an energy-based material model that displays the effect of functional fatigue of shape memory alloys during cyclic loading. The functional degradation is included in our model by taking account of irreversible martensitic volume fractions. Three internal variables are used: reversible and irreversible volume fractions for the crystallographic phases and Euler angles for parametrization of the martensite strain orientation. The evolution of the volume fractions is modeled in a rate-independent manner, whereas a viscous approach is employed for the Euler angles, which account for the materials’ polycrystalline structure. For the case of a cyclically loaded wire, we calibrate our model using experimental data. The calibration serves as input for the simulation of two more complex boundary value problems to demonstrate the functionality of our material model for localized phase transformations.

Keywords: Variational modeling; Shape memory alloys; Functional fatigue; Irreversible phase transformation; Finite-element method (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1007/s10957-019-01476-0

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