Computer Methods in Biomechanics & Biomedical Engineering · 2011 · 38 citations · 36 references
MedicineOrthopaedic SurgeryOrthopedic SurgeryBiomechanicsFinite Element AnalysisOrthopedicsBiomechanical AnalysisBiomechanical ModelingBone BiomechanicsBone MechanicsHip BiomechanicsMusculoskeletal BiomechanicsBone StiffnessBone Stress DistributionFinite Element Analysis Of BoneHip Joint MechanicsModel ComplexityMusculoskeletal ModelingStiffnessStiffness Distribution Effects
To enable large-scale multi-factorial finite element (FE) studies, the FE models used must be as computationally efficient as is feasible, while maintaining a suitable level of definition. The present study seeks to find an optimum level of model complexity for use in such large-scale studies by investigating which model attributes are most influential over the chosen model outputs of principal stress and strain in the intact acetabulum. A multi-factorial sensitivity study was carried out using 128 FE models, representing combinations of the following variables: bone stiffness distribution, imposed muscle loading, boundary condition location, hip joint contact conditions and patient's bone anatomy. The relative sensitivity of each input factor was analysed, and it was concluded that the optimum level of model definition must include CT-dependent trabecular bone properties and a sliding interface at the hip joint. It was found that it was not essential to describe the ligamentous sacroiliac and pubic symphysis joints; these could be rigidly fixed in space; and for the normal walking load case, muscle forces may be neglected. It was also concluded that a variety of bone anatomies should be included in a multi-factorial analysis if results are to be inferred for a wider population.
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Gray's anatomy: the anatomical basis of clinical practice
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Markus O. Heller, G. Bergmann, Georg Deuretzbacher et al. · Journal of Biomechanics · 2001 · 447 citations
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