| 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
Places of action
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article
Uncertainty quantification for viscoelastic composite materials using time-separated stochastic mechanics
Abstract
<p>With the growing use of composite materials, the need for high-fidelity simulation techniques of the related behavior increases. One important aspect to take into account is the uncertainty of the response due to fluctuations of the material parameters of the constituent materials of the homogenized composite. This inherent randomness leads to stochastic stresses on the microscale and uncertain macroscale response. Until now, the viscoelastic response of the matrix material seriously hindered the application of efficient methods to predict the composite material behavior. In this work, a novel method based on the time-separated stochastic mechanics (TSM) is developed to address this problem. We present how the uncertainty of the microscale stresses of a representative volume element and the homogenized macroscale stresses can be approximated with a low number of deterministic finite element simulations. Quantities of interest are the expectation, standard deviation, and the probability distribution function of the stresses on micro- and macroscale. The results showcase that the TSM is able to approximate the reference results very well at a minimal fraction of the computational cost needed for Monte Carlo simulations.</p>