Discrete element and finite element methods provide similar estimations for hip joint contact mechanics during walking gait.


Journal

Journal of biomechanics
ISSN: 1873-2380
Titre abrégé: J Biomech
Pays: United States
ID NLM: 0157375

Informations de publication

Date de publication:
22 01 2021
Historique:
received: 07 08 2020
revised: 07 11 2020
accepted: 25 11 2020
pubmed: 19 12 2020
medline: 28 5 2021
entrez: 18 12 2020
Statut: ppublish

Résumé

Finite element analysis (FEA) provides a powerful approach for estimating the in-vivo loading characteristics of the hip joint during various locomotory and functional activities. However, time-consuming procedures, such as the generation of high-quality FE meshes and setup of FE simulation, typically make the method impractical for rapid applications which could be used in clinical routine. Alternatively, discrete element analysis (DEA) has been developed to quantify mechanical conditions of the hip joint in a fraction of time compared to FEA. Although DEA has proven effective in the estimation of contact stresses and areas in various complex applications, it has not yet been well characterised by its ability to evaluate contact mechanics for the hip joint during gait cycle loading using data from several individuals. The objective of this work was to compare DEA modelling against well-established FEA for analysing contact mechanics of the hip joint during walking gait. Subject-specific models were generated from magnetic resonance images of the hip joints in five asymptomatic subjects. The DEA and FEA models were then simulated for 13 loading time-points extracted from a full gait cycle. Computationally, DEA was substantially more efficient compared to FEA (simulation times of seconds vs. hours). The DEA and FEA methods had similar predictions for contact pressure distribution for the hip joint during normal walking. In all 13 simulated loading time-points across five subjects, the maximum difference in average contact pressures between DEA and FEA was within ±0.06 MPa. Furthermore, the difference in contact area ratio computed using DEA and FEA was less than ±6%.

Identifiants

pubmed: 33338974
pii: S0021-9290(20)30587-X
doi: 10.1016/j.jbiomech.2020.110163
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

110163

Informations de copyright

Copyright © 2020 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Mao Li (M)

School of Information Technology and Electrical Engineering, University of Queensland, Brisbane, Australia.

Mikko S Venäläinen (MS)

School of Information Technology and Electrical Engineering, University of Queensland, Brisbane, Australia; Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland. Electronic address: m.venalainen@uq.edu.au.

Shekhar S Chandra (SS)

School of Information Technology and Electrical Engineering, University of Queensland, Brisbane, Australia.

Rushabh Patel (R)

School of Mechanical and Mining Engineering, University of Queensland, Brisbane, Australia.

Jurgen Fripp (J)

School of Information Technology and Electrical Engineering, University of Queensland, Brisbane, Australia; The Australian e-Health Research Centre, CSIRO Health and Biosecurity, Brisbane, Australia.

Craig Engstrom (C)

School of Human Movement Studies, University of Queensland, Brisbane, Australia.

Rami K Korhonen (RK)

Department of Applied Physics, University of Eastern Finland, Kuopio, Finland.

Juha Töyräs (J)

School of Information Technology and Electrical Engineering, University of Queensland, Brisbane, Australia; Department of Applied Physics, University of Eastern Finland, Kuopio, Finland; Diagnostic Imaging Centre, Kuopio University Hospital, Kuopio, Finland.

Stuart Crozier (S)

School of Information Technology and Electrical Engineering, University of Queensland, Brisbane, Australia.

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Classifications MeSH