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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.

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Authors

Dr MIKHAIL MATVEEV MIKHAIL.MATVEEV@NOTTINGHAM.AC.UK
ASSISTANT PROFESSOR IN ENGINEERING MECHANICS - STATICS & DYNAMICS

A.C. Long



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

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