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dc.contributor.author
Collins, Caitlyn J.
dc.contributor.author
Yang, Baixuan
dc.contributor.author
Crenshaw, Thomas D.
dc.contributor.author
Ploeg, Heidi-Lynn
dc.date.accessioned
2021-01-11T15:13:05Z
dc.date.available
2021-01-05T03:59:44Z
dc.date.available
2021-01-11T15:13:05Z
dc.date.issued
2021-03
dc.identifier.issn
1751-6161
dc.identifier.issn
1878-0180
dc.identifier.other
10.1016/j.jmbbm.2020.104253
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/459203
dc.identifier.doi
10.3929/ethz-b-000459203
dc.description.abstract
Methods used to evaluate bone mechanical properties vary widely depending on the motivation and environment of individual researchers, clinicians, and industries. Further, the innate complexity of bone makes validation of each method difficult. Thus, the purpose of the present research was to quantify methodological error of the most common methods used to predict long-bone bending stiffness, more specifically, flexural rigidity (EI). Functional testing of a bi-material porcine bone surrogate, developed in a previous study, was conducted under four-point bending test conditions. The bone surrogate was imaged using computed tomography (CT) with an isotropic voxel resolution of 0.625 mm. Digital image correlation (DIC) of the bone surrogate was used to quantify the methodological error between experimental, analytical, and computational methods used to calculate EI. These methods include the application of Euler Bernoulli beam theory to mechanical testing and DIC data; the product of the bone surrogate composite bending modulus and second area moment of inertia; and finite element analysis (FEA) using computer-aided design (CAD) and CT-based geometric models. The methodological errors of each method were then compared. The results of this study determined that CAD-based FEA was the most accurate determinant of bone EI, with less than five percent difference in EI to that of the DIC and consistent reproducibility of the measured displacements for each load increment. CT-based FEA was most accurate for axial strains. Analytical calculations overestimated EI and mechanical testing was the least accurate, grossly underestimating flexural rigidity of long-bones.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Elsevier
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject
Bone bending stiffness
en_US
dc.subject
Digital image correlation
en_US
dc.subject
Finite element analysis
en_US
dc.subject
Validation
en_US
dc.title
Evaluation of experimental, analytical, and computational methods to determine long-bone bending stiffness
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
dc.date.published
2020-12-09
ethz.journal.title
Journal of the Mechanical Behavior of Biomedical Materials
ethz.journal.volume
115
en_US
ethz.journal.abbreviated
J Mech Behav Biomed Mater
ethz.pages.start
104253
en_US
ethz.size
7 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.grant
Development of an in silico model for prediction of in vivo human bone fracture healing using micro-finite element analysis
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Amsterdam
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02070 - Dep. Gesundheitswiss. und Technologie / Dep. of Health Sciences and Technology::02518 - Institut für Biomechanik / Institute for Biomechanics::03565 - Müller, Ralph / Müller, Ralph
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02070 - Dep. Gesundheitswiss. und Technologie / Dep. of Health Sciences and Technology::02518 - Institut für Biomechanik / Institute for Biomechanics::03565 - Müller, Ralph / Müller, Ralph
ethz.grant.agreementno
841316
ethz.grant.fundername
EC
ethz.grant.funderDoi
10.13039/501100000780
ethz.grant.program
H2020
ethz.date.deposited
2021-01-05T03:59:48Z
ethz.source
SCOPUS
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2021-01-11T15:13:14Z
ethz.rosetta.lastUpdated
2022-03-29T04:47:08Z
ethz.rosetta.versionExported
true
ethz.COinS
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