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Stochastic isotropic hyperelastic materials: constitutive calibration and model selection

Abstract:

Biological and synthetic materials often exhibit intrinsic variability in their elastic responses under large strains, owing to microstructural inhomogeneity or when elastic data are extracted from viscoelastic mechanical tests. For these materials, although hyperelastic models calibrated to mean data are useful, stochastic representations accounting also for data dispersion carry extra information about the variability of material properties found in practical applications. We combine finite...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Accepted Manuscript

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Publisher copy:
10.1098/rspa.2017.0858

Authors


Woolley, TE More by this author
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Mathematical Institute
Oxford college:
St Catherines College
ORCID:
0000-0002-6436-8483
Publisher:
Royal Society Publisher's website
Journal:
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences Journal website
Volume:
474
Issue:
2211
Pages:
Article: 20170858
Publication date:
2018-03-14
Acceptance date:
2018-02-16
DOI:
EISSN:
1471-2946
ISSN:
1364-5021
Pubs id:
pubs:825139
URN:
uri:053d2f74-08b3-4522-8b50-ea7dc065b0ac
UUID:
uuid:053d2f74-08b3-4522-8b50-ea7dc065b0ac
Local pid:
pubs:825139

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