| Reference : Bayesian Identification of Mean-Field Homogenization model parameters and uncertain m... |
| Scientific journals : Article | |||
| Engineering, computing & technology : Aerospace & aeronautics engineering Engineering, computing & technology : Materials science & engineering Engineering, computing & technology : Mechanical engineering | |||
| Computational Sciences | |||
| http://hdl.handle.net/10993/39279 | |||
| Bayesian Identification of Mean-Field Homogenization model parameters and uncertain matrix behavior in non-aligned short fiber composites | |
| English | |
| Mahamedou, Mohamed [] | |
| Zulueta Uriondo, Kepa [] | |
| Chung, Chi Nghia [] | |
Rappel, Hussein  [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >] | |
| Beex, Lars [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >] | |
| Adam, Laurent [] | |
| Arriaga, Aitor [] | |
| Major, Zoltan [] | |
| Wu, Ling [] | |
| Noels, Ludovic [] | |
| 15-Jul-2019 | |
| Composite Structures | |
| Elsevier | |
| 220 | |
| 64-80 | |
| Yes (verified by ORBilu) | |
| International | |
| 0263-8223 | |
| Netherlands | |
| [en] Multiscale ; Stochastic ; Composites ; Bayesian Inference ; Inverse Identification | |
| [en] We present a stochastic approach combining Bayesian Inference (BI) with homogenization theories in order to identify, on the one hand, the parameters inherent to the model assumptions
and, on the other hand, the composite material constituents behaviors, including their variability. In particular, we characterize the model parameters of a Mean-Field Homogenization (MFH) model and the elastic matrix behavior, including the inherent dispersion in its Young's modulus, of non-aligned Short Fibers Reinforced Polymer (SFRP) composites. The inference is achieved by considering as observations experimental tests conducted at the SFRP composite coupons level. The inferred model and material law parameters can in turn be used in Mean-Field Homogenization (MFH)-based multi-scale simulations and can predict the confidence range of the composite material responses. | |
| Service public de Wallonie : Direction générale opérationnelle de l'économie, de l'emploi et de la recherche - DG06 | |
| The research has been funded by the Walloon Region under the agreement no 1410246 - STOMMMAC (CT-INT2013-03-28) in the context of the M-ERA.NET Joint Call 2014. | |
| Researchers ; Professionals ; Students ; General public ; Others | |
| http://hdl.handle.net/10993/39279 | |
| 10.1016/j.compstruct.2019.03.066 | |
| https://doi.org/10.1016/j.compstruct.2019.03.066 | |
| FnR ; FNR11501927 > Lars Beex > Open-cell metal foams > A virtual lab for Ni/PU hybrid foams: stochastic micromechanical identification and efficient numerical simulations > 01/03/2018 > 28/02/2021 > 2017 |
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