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Optimal mass distribution prediction for human proximal femur with bi-modulus property

Shi, Jiao; Cai, Kun; Qin, Qing Hua

Description

Simulation of the mass distribution in a human proximal femur is important to provide a reasonable therapy scheme for a patient with osteoporosis. An algorithm is developed for prediction of optimal mass distribution in a human proximal femur under a given loading environment. In this algorithm, the bone material is assumed to be bi-modulus, i.e., the tension modulus is not identical to the compression modulus in the same direction. With this bi-modulus bone material, a topology optimization...[Show more]

dc.contributor.authorShi, Jiao
dc.contributor.authorCai, Kun
dc.contributor.authorQin, Qing Hua
dc.date.accessioned2015-12-10T22:32:25Z
dc.identifier.issn1556-5297
dc.identifier.urihttp://hdl.handle.net/1885/55756
dc.description.abstractSimulation of the mass distribution in a human proximal femur is important to provide a reasonable therapy scheme for a patient with osteoporosis. An algorithm is developed for prediction of optimal mass distribution in a human proximal femur under a given loading environment. In this algorithm, the bone material is assumed to be bi-modulus, i.e., the tension modulus is not identical to the compression modulus in the same direction. With this bi-modulus bone material, a topology optimization method, i.e., modified SIMP approach, is employed to determine the optimal mass distribution in a proximal femur. The effects of the difference between two moduli on the final material distribution are numerically investigated. Numerical results obtained show that the mass distribution in bi-modular bone materials is different from that in traditional isotropic material. As the tension modulus is less than the compression modulus for bone tissues, the amount of mass required to support tension loads is greater than that required by isotropic material for the same daily activities including one-leg stance, abduction and adduction.
dc.publisherTech Science Press
dc.sourceMolecular and Cellular Biomechanics
dc.titleOptimal mass distribution prediction for human proximal femur with bi-modulus property
dc.typeJournal article
local.description.notesImported from ARIES
local.identifier.citationvolume11
dc.date.issued2014
local.identifier.absfor091300 - MECHANICAL ENGINEERING
local.identifier.ariespublicationa383154xPUB339
local.type.statusPublished Version
local.contributor.affiliationShi, Jiao, College of Water Resources and Architectural Engineering
local.contributor.affiliationCai, Kun, College of Water Resources and Architectural Engineering,
local.contributor.affiliationQin, Qing Hua, College of Engineering and Computer Science, ANU
local.description.embargo2037-12-31
local.bibliographicCitation.issue4
local.bibliographicCitation.startpage235
local.bibliographicCitation.lastpage248
local.identifier.absseo970109 - Expanding Knowledge in Engineering
dc.date.updated2015-12-09T10:16:19Z
local.identifier.scopusID2-s2.0-84920394705
CollectionsANU Research Publications

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