Reference : Bayesian Identification of Mean-Field Homogenization model parameters and uncertain m...
Scientific journals : Article
Engineering, computing & technology : Aerospace & aeronautics engineering
Engineering, computing & technology : Mechanical engineering
Engineering, computing & technology : Materials science & engineering
http://hdl.handle.net/2268/233851
Bayesian Identification of Mean-Field Homogenization model parameters and uncertain matrix behavior in non-aligned short fiber composites
English
Mahamedou, Mohamed []
Zulueta Uriondo, Kepa [Leartiker Polymer > > > >]
Chung, Chi Nghia [JKU Linz > > > >]
Rappel, Hussein [Université du Luxembourg - UniLu > > > >]
Beex, Lars [Université du Luxembourg - UniLu > > > >]
Adam, Laurent [e-Xstream > > > >]
Arriaga, Aitor [Leartiiker > > > >]
Major, Zoltan [JKU Linz > > > >]
Wu, Ling mailto [Université de Liège - ULiège > Département d'aérospatiale et mécanique > Computational & Multiscale Mechanics of Materials (CM3) >]
Noels, Ludovic mailto [Université de Liège - ULiège > Département d'aérospatiale et mécanique > Computational & Multiscale Mechanics of Materials (CM3) >]
15-Jul-2019
Composite Structures
Elsevier
220
64-80
Yes (verified by ORBi)
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
http://hdl.handle.net/2268/233851
10.1016/j.compstruct.2019.03.066
https://doi.org/10.1016/j.compstruct.2019.03.066
NOTICE: this is the author’s version of a work that was accepted for publication in Composite Structures. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Composite Structures 220, 2019, 64-80, doi:10.1016/j.compstruct.2019.03.066
H2020 ; 685451 - M-ERA.NET 2 - ERA-NET for materials research and innovation

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