RT Journal Article
T1 Multiscale Characterisation of Cortical Bone Tissue
A1 Sanz Herrera, José A.
A1 Mora Macías, Juan
A1 Reina Romo, Esther
A1 Domínguez, Jaime
A1 Doblaré, Manuel
AB Multiscale analysis has become an attractive technique to predict the behaviour ofmaterials whose microstructure strongly changes spatially or among samples, with that microstructurecontrolling the local constitutive behaviour. This is the case, for example, of most biologicaltissues—such as bone. Multiscale approaches not only allow, not only to better characterise the localbehaviour, but also to predict the field-variable distributions (e.g., strains, stresses) at both scales(macro and micro) simultaneously. However, multiscale analysis usually lacks su cient experimentalfeedback to demonstrate its validity. In this paper an experimental and numerical micromechanicsanalysis is developed with application to cortical bone. Displacement and strain fields are obtainedacross the microstructure by means of digital image correlation (DIC). The other mechanical variablesare computed following the micromechanics theory. Special emphasis is given to the di erencesfound in the di erent field variables between the micro- and macro-structures, which points out theneed for this multiscale approach in cortical bone tissue. The obtained results are used to establishthe basis of a multiscale methodology with application to the analysis of bone tissue mechanics atdi erent spatial scales.
PB MDPI
SN 2076-3417
YR 2019
FD 2019-12
LK http://hdl.handle.net/10272/17635
UL http://hdl.handle.net/10272/17635
LA eng
NO Sanz Herrera, J. A., Mora Macías, J., Reina Romo, E., Domínguez, J., Doblaré, M. (2019). Multiscale Characterisation of Cortical Bone Tissue. Applied Sciences, 9(23), 5228. DOI: https://doi.org/10.3390/app9235228
NO The authors gratefully acknowledge the Ministry of Economy and Competitiveness [Ministerio de Economia y Competitividad] of the Government of Spain (DPI2014-58233-P, DPI2017-82501-P, PGC2018-097257-B-C31) for research funding.
DS Repositorio Institucional de la Universidad de Huelva
RD 1 jun 2026