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Original Articles

Computational modelling of the natural hip: a review of finite element and multibody simulations

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Pages 963-979 | Received 01 Dec 2010, Accepted 28 Feb 2011, Published online: 13 May 2011
 

Abstract

Primary objective: The hip joint suffers from a high prevalence of degenerative conditions. Athough patient's well-being could be improved through early and more effective interventions, without a greater understanding of the mechanics of the hip, these developments cannot be attained. Thus, this review article summarises the current literature on this subject in order to provide a platform for future developments. To illustrate the influence computational simulations have had on the knowledge advancement in hip mechanics, we explored two methodological approaches: finite element (FE) analysis and multibody dynamics (MBD). Main outcomes and results: Notwithstanding the unique capabilities of FE and MBD, the former generally offers the micromechanics of the articulating surfaces whereas the latter the macromechanics of the skeleton, these two methodologies also provide the bulk of the literature regarding computational modelling of the musculoskeletal system. Although FE has provided significant knowledge on contact pressures and the effects of musculoskeletal geometries, in particular cartilage and bone shapes, MBD has afforded a wealth of understanding on the influence of gait patterns and muscle attachment locations on force magnitudes. Conclusions: These two computational techniques have, and will continue to, provide significant contributions towards the development of interventions. It is hoped that this article will help focus ongoing technological developments by highlighting areas of success, but also areas of under development.

Acknowledgements

The work for this paper was partially funded through WELLMEC, a Centre of Excellence in Medical Engineering funded by the Wellcome Trust and EPSRC, under grant WT 088908/Z/09/Z, and LMBRU (Leeds Musculoskeletal Biomedical Research Unit) through NIHR (National Institute for Health Research).

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