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A Finite Element Study to Assess Fracture Risk in Humans with Low Bone Density

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Advances in Asset Management and Condition Monitoring

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 166))

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Abstract

Osteoporosis is a bone-related illness which causes a reduction in bone density, where affected individuals have a higher risk of fracture. This research uses current Finite Element Analysis (FEA) techniques such as geometric modelling, meshing, application of materials, loading and boundary conditions, and captures time-dependent simulation data. The aim was to study the physical properties of the Human Clavicle bone. The focus was on transverse fractures in compression loading. Previous research is detailed showing the impact of pathological fractures and its effect on the bone, this comprises of theoretical and experimental results. The study demonstrates the correlation between the reduction in density and the increase in fracture risk. Thus, showing the importance of the FEA data and its uses in future applications of which encompass design, diagnostics and research.

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Acknowledgements

I would like to thank Dr Green and Dr Madan at Sheffield’s Children’s hospital for taking the time to help with the project, their incite and knowledge proved incredibly valuable. Dr John D. Currey who’s work in the area proved not only hugely valuable to the project but is an inspiration in the field of bone mechanics. A special thanks to Kingsley Hanlon and Samin Hasnat for their guidance. Finally, my parents, for all their support.

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Correspondence to Connor Recknell .

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Recknell, C., Saatchi, R. (2020). A Finite Element Study to Assess Fracture Risk in Humans with Low Bone Density. In: Ball, A., Gelman, L., Rao, B. (eds) Advances in Asset Management and Condition Monitoring. Smart Innovation, Systems and Technologies, vol 166. Springer, Cham. https://doi.org/10.1007/978-3-030-57745-2_94

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  • DOI: https://doi.org/10.1007/978-3-030-57745-2_94

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-57744-5

  • Online ISBN: 978-3-030-57745-2

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