| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Junker, Philipp
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (21/21 displayed)
- 2024An energy-based material model for the simulation of shape memory alloys under complex boundary value problemscitations
- 2024Uncertainty quantification for viscoelastic composite materials using time-separated stochastic mechanicscitations
- 2022Untersuchung des Potenzials der Topologieoptimierung in der additiven Fertigung am Beispiel von biegebeanspruchten Bauteilencitations
- 2019Modeling macroscopic material behavior with machine learning algorithms trained by micromechanical simulations
- 2016A coupled dissipation functional for modeling the functional fatigue in polycrystalline shape memory alloys
- 2016Variational modeling of martensitic phase transformations
- 2015Variational prediction of the mechanical behavior of shape memory alloys based on thermal experiments
- 2015A variational viscosity-limit approach to the evolution of microstructures in finite crystal plasticity
- 2014A novel approach to representative orientation distribution functions for modeling and simulation of polycrystalline shape memory alloys
- 2014Functional fatigue in polycrystalline shape memory alloys
- 2014A thermo-mechanically coupled field model for shape memory alloys
- 2013A condensed variational model for thermo-mechanically coupled phase transformations in polycrystalline shape memory alloys
- 2012On the interrelation between dissipation and chemical energies in modeling shape memory alloys
- 2012Simulation of shape memory alloys
- 2011Simulation of shape memory alloys : Material modeling using the principle of maximum dissipation
- 2011About the influence of heat conductivity on the mechanical behavior of poly-crystalline shape memory alloys
- 2011Finite element simulations of poly-crystalline shape memory alloys based on a micromechanical model
- 2011Variational modeling of shape memory alloys : an overview
- 2011Simulation of shape memory alloys
- 2011Variational modeling of shape memory alloys - An overviewcitations
- 2010On the thermo-mechanically coupled simulation of poly-crystalline shape memory alloys
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article
An energy-based material model for the simulation of shape memory alloys under complex boundary value problems
Abstract
<p>Shape memory alloys are remarkable ‘smart’ materials used in a broad spectrum of applications, ranging from aerospace to robotics, thanks to their unique thermomechanical coupling capabilities. Given the complex properties of shape memory alloys, which are largely influenced by thermal and mechanical loads, as well as their loading history, predicting their behavior can be challenging. Consequently, there exists a pronounced demand for an efficient material model to simulate the behavior of these alloys. This paper introduces a material model rooted in Hamilton's principle. The key advantages of the presented material model encompass a more accurate depiction of the internal variable evolution and heightened robustness. As such, the proposed material model signifies an advancement in the realistic and efficient simulation of shape memory alloys.</p>