Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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Baxevanis, Theocharis

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (6/6 displayed)

  • 2021An Extended Three-Dimensional Finite Strain Constitutive Model for Shape Memory Alloys18citations
  • 2018Ni-Ti Shape Memory Alloy Coatings for Structural Applications: Optimization of HVOF Spraying Parameters17citations
  • 2013Homogenization of elastoplastic composites with generalized periodicity in the microstructure32citations
  • 2008Bifurcation and creep effects in a viscoelastic non-local damageable continuum4citations
  • 2006Interface crack propagation in porous and time-dependent materials analyzed with discrete models6citations
  • 2006Creep-damage couplingcitations

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Chart of shared publication
Dassios, Konstantinos G.
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Karatza, Despina
1 / 2 shared
Exarchos, Dimitrios A.
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Crescenzo, Carmen De
1 / 1 shared
Chianese, Simeone
1 / 2 shared
Matikas, Theodore E.
1 / 6 shared
Dalla, Panagiota T.
1 / 1 shared
Musmarra, Dino
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Chatzigeorgiou, Georges
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Tsalis, Dimitrios
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Charalambakis, Nicolas
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Pijaudier-Cabot, Gilles
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Dufour, Frédéric
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Desiassyifayanty, Rani
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Omar, Mirvat
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Co-Authors (by relevance)

  • Dassios, Konstantinos G.
  • Karatza, Despina
  • Exarchos, Dimitrios A.
  • Crescenzo, Carmen De
  • Chianese, Simeone
  • Matikas, Theodore E.
  • Dalla, Panagiota T.
  • Musmarra, Dino
  • Chatzigeorgiou, Georges
  • Tsalis, Dimitrios
  • Charalambakis, Nicolas
  • Pijaudier-Cabot, Gilles
  • Dufour, Frédéric
  • Desiassyifayanty, Rani
  • Omar, Mirvat
OrganizationsLocationPeople

article

An Extended Three-Dimensional Finite Strain Constitutive Model for Shape Memory Alloys

  • Baxevanis, Theocharis
Abstract

<jats:title>Abstract</jats:title><jats:p>A 3D finite-strain constitutive model for shape memory alloys (SMAs) is proposed. The model can efficiently describe reversible phase transformation from austenite to self-accommodated and/or oriented martensite, (re)orientation of martensite variants, minor loops, latent heat effects, and tension–compression asymmetry based on the Eulerian logarithmic strain and the corotational logarithmic objective rate. It further accounts for smooth thermomechanical response; temperature dependence of the critical force required for (re)orientation, temperature, and load dependence of the hysteresis width; and asymmetry between forward and reverse phase transformation, and it is flexible enough to address the deformation response in the concurrent presence of several phases, i.e., when austenite, self-accommodated, and oriented martensite co-exist in the microstructure. The ability of the proposed model to describe the aforementioned deformation response characteristics of SMAs under multiaxial, thermomechanical, and nonproportional loading relies on the set of three independent internal variables, i.e., the average volume fraction of martensite variants, their preferred direction, and the magnitude of the induced inelastic strain, which further allow for an implicit description of a fourth internal variable, the volume fraction of oriented as opposed to self-accommodated martensite. The calibration of the model and its numerical implementation in an efficient scheme are presented. The model is validated against experimental results associated with complex thermomechanical paths, including tension/compression/torsion experiments, and the efficiency of its numerical implementation is verified with simulations of the response of a biomedical superelastic SMA stent and an SMA spring actuator.</jats:p>

Topics
  • impedance spectroscopy
  • microstructure
  • phase
  • experiment
  • simulation