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Open AccessArticle

Multiscale Characterisation of Cortical Bone Tissue

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Escuela Técnica Superior de Ingeniería, Universidad de Sevilla, 41092 Seville, Spain
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Department of Mining, Mechanical, Energy and Construction Engineering, University of Huelva, Campus Universitario La Rábida, Escuela Técnica Superior de Ingeniería, Palos de la Frontera, 21007 Huelva, Spain
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Aragon Institute of Engineering Research (I3A), University of Zaragoza, 50018 Zaragoza, Spain
*
Author to whom correspondence should be addressed.
Appl. Sci. 2019, 9(23), 5228; https://doi.org/10.3390/app9235228
Received: 28 October 2019 / Revised: 18 November 2019 / Accepted: 27 November 2019 / Published: 1 December 2019
(This article belongs to the Special Issue Biomaterials for Bone Tissue Engineering)
Multiscale analysis has become an attractive technique to predict the behaviour of materials whose microstructure strongly changes spatially or among samples, with that microstructure controlling the local constitutive behaviour. This is the case, for example, of most biological tissues—such as bone. Multiscale approaches not only allow, not only to better characterise the local behaviour, but also to predict the field-variable distributions (e.g., strains, stresses) at both scales (macro and micro) simultaneously. However, multiscale analysis usually lacks sufficient experimental feedback to demonstrate its validity. In this paper an experimental and numerical micromechanics analysis is developed with application to cortical bone. Displacement and strain fields are obtained across the microstructure by means of digital image correlation (DIC). The other mechanical variables are computed following the micromechanics theory. Special emphasis is given to the differences found in the different field variables between the micro- and macro-structures, which points out the need for this multiscale approach in cortical bone tissue. The obtained results are used to establish the basis of a multiscale methodology with application to the analysis of bone tissue mechanics at different spatial scales. View Full-Text
Keywords: cortical bone; digital image correlation; multiscale analysis; micromechanics; computational mechanics cortical bone; digital image correlation; multiscale analysis; micromechanics; computational mechanics
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MDPI and ACS Style

Sanz-Herrera, J.A.; Mora-Macías, J.; Reina-Romo, E.; Domínguez, J.; Doblaré, M. Multiscale Characterisation of Cortical Bone Tissue. Appl. Sci. 2019, 9, 5228.

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