87600 20230914083240.0 doi 10.3390/app9235228 sideral 115813 ART-2019-115813 eng Sanz-Herrera, José A. Multiscale characterisation of cortical bone tissue 2019 Access copy available to the general public Unrestricted 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. info:eu-repo/grantAgreement/ES/MICINN/PGC2018-097257-B-C31 info:eu-repo/grantAgreement/ES/MINECO/DPI2014-58233-P info:eu-repo/grantAgreement/ES/MINECO/DPI2017-82501-P info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 2.474 2019 PHYSICS, APPLIED 62 / 154 = 0.403 2019 Q2 T2 ENGINEERING, MULTIDISCIPLINARY 32 / 91 = 0.352 2019 Q2 T2 CHEMISTRY, MULTIDISCIPLINARY 88 / 176 = 0.5 2019 Q2 T2 MATERIALS SCIENCE, MULTIDISCIPLINARY 161 / 314 = 0.513 2019 Q3 T2 0.418 2019 Engineering (miscellaneous) 2019 Q1 Fluid Flow and Transfer Processes 2019 Q2 Process Chemistry and Technology 2019 Q2 Instrumentation 2019 Q2 Materials Science (miscellaneous) 2019 Q2 Computer Science Applications 2019 Q3 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Mora-Macías, Juan Reina-Romo, Esther Domínguez, Jaime Doblaré, Manuel Universidad de Zaragoza (orcid)0000-0001-8741-6452 5004 605 Universidad de Zaragoza Dpto. Ingeniería Mecánica Área Mec.Med.Cont. y Teor.Est. 9, 23 (2019), 5228 [17 pp.] Appl. sci. Applied Sciences (Switzerland) 2076-3417 3063916 http://zaguan.unizar.es/record/87600/files/texto_completo.pdf Versión publicada 100450 http://zaguan.unizar.es/record/87600/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:87600 articulos driver 2023-09-13-10:48:01 ARTICLE