Modeling the cyclic behavior of shape memory alloys

authored by: Johanna Waimann, Philipp Junker, Klaus Hackl
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.
Organisation(s): Institute of Continuum Mechanics
Type: Article
Journal: Shape Memory and Superelasticity
Volume: 3
Pages: 124-138
No. of pages: 15
ISSN: 2199-384X
Publication date: 08.05.2017
Publication status: Published
Peer reviewed: Yes
ASJC Scopus subject areas: Mechanics of Materials, Materials Science(all)
Electronic version(s): https://doi.org/10.1007/s40830-017-0105-4 (Access: Closed)
: Details in the research portal "Research@Leibniz University"

BibTeX

@article{380f344e748f4d06b7215d749c366aee,
title = "Modeling the cyclic behavior of shape memory alloys",
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.",
keywords = "Functional fatigue, Irreversible phase transformation, Orientation distribution function, Shape memory alloys",
author = "Johanna Waimann and Philipp Junker and Klaus Hackl",
note = "Publisher Copyright: {\textcopyright} 2017, ASM International.",
year = "2017",
month = may,
day = "8",
doi = "10.1007/s40830-017-0105-4",
language = "English",
volume = "3",
pages = "124--138",
journal = "Shape Memory and Superelasticity",
issn = "2199-384X",
publisher = "Springer US",
number = "2",
}