Bayesian inversion algorithm for estimating local variations in permeability and porosity of reinforcements using experimental data

Matveev, M.Y.; Endruweit, A.; Long, A.C.; Iglesias, M.A.; Tretyakov, M.V.

doi:10.1016/j.compositesa.2021.106323

Bayesian inversion algorithm for estimating local variations in permeability and porosity of reinforcements using experimental data

Matveev, M.Y.; Endruweit, A.; Long, A.C.; Iglesias, M.A.; Tretyakov, M.V.

Authors

MIKHAIL MATVEEV MIKHAIL.MATVEEV@NOTTINGHAM.AC.UK
Assistant Professor in Engineering Mechanics - Statics & Dynamics

ANDREAS ENDRUWEIT ANDREAS.ENDRUWEIT@NOTTINGHAM.AC.UK
Associate Professor

A.C. Long

MARCO IGLESIAS HERNANDEZ Marco.Iglesias@nottingham.ac.uk
Associate Professor

MIKHAIL TRETYAKOV Michael.Tretyakov@nottingham.ac.uk
Professor of Mathematics

Citation

Matveev, M., Endruweit, A., Long, A., Iglesias, M., & Tretyakov, M. (2021). Bayesian inversion algorithm for estimating local variations in permeability and porosity of reinforcements using experimental data. Composites Part A: Applied Science and Manufacturing, 143, Article 106323. https://doi.org/10.1016/j.compositesa.2021.106323

Journal Article Type	Article
Acceptance Date	Jan 28, 2021
Online Publication Date	Feb 6, 2021
Publication Date	Apr 1, 2021
Deposit Date	Feb 15, 2021
Publicly Available Date	Feb 15, 2021
Journal	Composites Part A: Applied Science and Manufacturing
Print ISSN	1359-835X
Publisher	Elsevier
Peer Reviewed	Peer Reviewed
Volume	143
Article Number	106323
DOI	https://doi.org/10.1016/j.compositesa.2021.106323
Keywords	Mechanics of Materials; Ceramics and Composites
Public URL	https://nottingham-repository.worktribe.com/output/5319940
Publisher URL	https://www.sciencedirect.com/science/article/pii/S1359835X2100049X?dgcid=rss_sd_all