dc.creator | Sanz Herrera, José Antonio | es |
dc.creator | Mora Macías, Juan | es |
dc.creator | Reina Romo, Esther | es |
dc.creator | Domínguez Abascal, Jaime | es |
dc.creator | Doblaré, M. | es |
dc.date.accessioned | 2020-07-14T16:36:57Z | |
dc.date.available | 2020-07-14T16:36:57Z | |
dc.date.issued | 2019-12 | |
dc.identifier.citation | Sanz Herrera, J.A., Mora Macías, J., Reina Romo, E., Domínguez Abascal, J. y Doblaré, M. (2019). Multiscale Characterisation of Cortical Bone Tissue. Applied Sciences, 9 (23), Article number 5228. | |
dc.identifier.issn | EISSN 2076-3417 | es |
dc.identifier.uri | https://hdl.handle.net/11441/99402 | |
dc.description.abstract | 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 su cient 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 di erences
found in the di erent 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
di erent spatial scales. | es |
dc.description.sponsorship | Ministerio de Economía y Competitividad DPI2014-58233-P | es |
dc.description.sponsorship | Ministerio de Economía y Competitividad DPI2017-82501-P | es |
dc.description.sponsorship | Ministerio de Economía y Competitividad PGC2018-097257-B-C31 | es |
dc.format | application/pdf | es |
dc.format.extent | 17 p. | es |
dc.language.iso | eng | es |
dc.publisher | MDPI | es |
dc.relation.ispartof | Applied Sciences, 9 (23), Article number 5228. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Cortical bone | es |
dc.subject | Digital image correlation | es |
dc.subject | Multiscale analysis | es |
dc.subject | Micromechanics | es |
dc.subject | Computational mechanics | es |
dc.title | Multiscale Characterisation of Cortical Bone Tissue | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Mecánica de Medios Continuos y Teoría de Estructuras | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ingeniería Mecánica y de Fabricación | es |
dc.relation.projectID | DPI2014-58233-P | es |
dc.relation.projectID | DPI2017-82501-P | es |
dc.relation.projectID | PGC2018-097257-B-C31 | es |
dc.relation.publisherversion | https://doi.org/10.3390/app9235228 | es |
dc.identifier.doi | 10.3390/app9235228 | es |
dc.journaltitle | Applied Sciences | es |
dc.publication.volumen | 9 | es |
dc.publication.issue | 23 | es |
dc.publication.initialPage | Article number 5228 | es |
dc.identifier.sisius | 21886886 | es |
dc.contributor.funder | Ministerio de Economía y Competitividad (MINECO). España | es |