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 mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
Beex, Lars mailto [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
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

File(s) associated to this reference

Fulltext file(s):

FileCommentaryVersionSizeAccess
Open access
2019_COST_BI.pdfPublisher postprint60.09 MBView/Open

Bookmark and Share SFX Query

All documents in ORBilu are protected by a user license.