Matches in SemOpenAlex for { <https://semopenalex.org/work/W2993190080> ?p ?o ?g. }
- W2993190080 endingPage "5228" @default.
- W2993190080 startingPage "5228" @default.
- W2993190080 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 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." @default.
- W2993190080 created "2019-12-13" @default.
- W2993190080 creator A5020070981 @default.
- W2993190080 creator A5021200173 @default.
- W2993190080 creator A5035135487 @default.
- W2993190080 creator A5057774745 @default.
- W2993190080 creator A5087900363 @default.
- W2993190080 date "2019-12-01" @default.
- W2993190080 modified "2023-10-01" @default.
- W2993190080 title "Multiscale Characterisation of Cortical Bone Tissue" @default.
- W2993190080 cites W1933212933 @default.
- W2993190080 cites W1965325039 @default.
- W2993190080 cites W1968691758 @default.
- W2993190080 cites W1984589322 @default.
- W2993190080 cites W1985227590 @default.
- W2993190080 cites W1988039107 @default.
- W2993190080 cites W1990523821 @default.
- W2993190080 cites W1992156727 @default.
- W2993190080 cites W1992837958 @default.
- W2993190080 cites W1992957889 @default.
- W2993190080 cites W1993090130 @default.
- W2993190080 cites W1994706362 @default.
- W2993190080 cites W1994907849 @default.
- W2993190080 cites W1997794453 @default.
- W2993190080 cites W2002369319 @default.
- W2993190080 cites W2003899176 @default.
- W2993190080 cites W2007567936 @default.
- W2993190080 cites W2010751506 @default.
- W2993190080 cites W2020640313 @default.
- W2993190080 cites W2023425023 @default.
- W2993190080 cites W2027469592 @default.
- W2993190080 cites W2029392940 @default.
- W2993190080 cites W2029660396 @default.
- W2993190080 cites W2030348731 @default.
- W2993190080 cites W2036912612 @default.
- W2993190080 cites W2048991478 @default.
- W2993190080 cites W2049903020 @default.
- W2993190080 cites W2052905004 @default.
- W2993190080 cites W2057871541 @default.
- W2993190080 cites W2059107467 @default.
- W2993190080 cites W2066749771 @default.
- W2993190080 cites W2074993293 @default.
- W2993190080 cites W2083049128 @default.
- W2993190080 cites W2084978630 @default.
- W2993190080 cites W2086274272 @default.
- W2993190080 cites W2093987123 @default.
- W2993190080 cites W2101171669 @default.
- W2993190080 cites W2101241849 @default.
- W2993190080 cites W2102229724 @default.
- W2993190080 cites W2103078203 @default.
- W2993190080 cites W2111513248 @default.
- W2993190080 cites W2116651675 @default.
- W2993190080 cites W2117602643 @default.
- W2993190080 cites W2119229754 @default.
- W2993190080 cites W2120395171 @default.
- W2993190080 cites W2120761640 @default.
- W2993190080 cites W2122387284 @default.
- W2993190080 cites W2124503372 @default.
- W2993190080 cites W2132313568 @default.
- W2993190080 cites W2132961114 @default.
- W2993190080 cites W2134086845 @default.
- W2993190080 cites W2143441643 @default.
- W2993190080 cites W2144424358 @default.
- W2993190080 cites W2147123976 @default.
- W2993190080 cites W2156109464 @default.
- W2993190080 cites W2523187377 @default.
- W2993190080 cites W2556861557 @default.
- W2993190080 cites W2620780615 @default.
- W2993190080 cites W2745219831 @default.
- W2993190080 cites W2788817723 @default.
- W2993190080 cites W2801163406 @default.
- W2993190080 cites W2915196518 @default.
- W2993190080 cites W4211160782 @default.
- W2993190080 doi "https://doi.org/10.3390/app9235228" @default.
- W2993190080 hasPublicationYear "2019" @default.
- W2993190080 type Work @default.
- W2993190080 sameAs 2993190080 @default.
- W2993190080 citedByCount "3" @default.
- W2993190080 countsByYear W29931900802020 @default.
- W2993190080 countsByYear W29931900802021 @default.
- W2993190080 countsByYear W29931900802022 @default.
- W2993190080 crossrefType "journal-article" @default.
- W2993190080 hasAuthorship W2993190080A5020070981 @default.
- W2993190080 hasAuthorship W2993190080A5021200173 @default.
- W2993190080 hasAuthorship W2993190080A5035135487 @default.
- W2993190080 hasAuthorship W2993190080A5057774745 @default.
- W2993190080 hasAuthorship W2993190080A5087900363 @default.
- W2993190080 hasBestOaLocation W29931900801 @default.
- W2993190080 hasConcept C104779481 @default.
- W2993190080 hasConcept C105702510 @default.
- W2993190080 hasConcept C11413529 @default.
- W2993190080 hasConcept C121332964 @default.
- W2993190080 hasConcept C121864883 @default.
- W2993190080 hasConcept C127413603 @default.
- W2993190080 hasConcept C136229726 @default.
- W2993190080 hasConcept C141123601 @default.
- W2993190080 hasConcept C159985019 @default.
- W2993190080 hasConcept C166955791 @default.