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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Gill, H. S.
University of Bath
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (18/18 displayed)
- 2024Experiments and numerical modelling of secondary flows of blood and shear-thinning blood analogue fluids in rotating domainscitations
- 2024Auxetic fixation devices can achieve superior pullout performances compared to standard fixation conceptscitations
- 2021Properties of PMMA end cap holders affect FE stiffness predictions of vertebral specimens
- 20213D Printed Medical Grade Ti-6Al-4V Osteosynthesis Devices Meet the Requirements for Tensile Strength, Bending, Fatigue and Biocompatibility
- 2019Evaluating strength of 3D printed screw threads for patient-specific osteosynthesis plates
- 2019Evaluation of optimised cervical spine viscoelastic elements for sport injury analysis
- 2018The effect of plate design, bridging span, and fracture healing on the performance of high tibial osteotomy plates – an experimental and finite element study.citations
- 2017Validated cemented socket model for optimising acetabular fixation
- 2017Effect of absorbed fatty acids on physical properties of ultra-high molecular weight polyethylene
- 2017Use of contrast agents on polymeric materials
- 2016A Python Package to Assign Material Properties of Bone to Finite Element Models from within Abaqus Software
- 2016An open source software tool to assign the material properties of bone for ABAQUS finite element simulationscitations
- 2016A validated specimen specific finite element model of vertebral body failure
- 2016Variations in Cortical Thickness of Composite Femur Test Specimens
- 2015Tibial Fracture after Unicompartmental Knee Replacement: The Importance of Surgical Cut Accuracy
- 2014Classification of retinal ganglion cells in the southern hemisphere lamprey Geotria australis (Cyclostomata)citations
- 2014Effect of Q-switched laser surface texturing of titanium on osteoblast cell response
- 2013Fracture of mobile unicompartmental knee bearingscitations
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document
Validated cemented socket model for optimising acetabular fixation
Abstract
Introduction<br/><br/>The THR is the second most successful and cost-effective surgical procedure of all time. Data shows that hip cup failure is a significant problem. The aim of this study is to improve methods of cemented cup fixation through validation experiments and FEA.<br/><br/>Methods<br/><br/>Five Sawbones composite pelves with cemented UHMWPE cups were tested. Each pelvis was instrumented with triaxial strain gauges at four locations of predicted high strain. Each sample (n = 5) was bolted at the sacroiliac joint in a uniaxial testing machine. A load of 500 N was applied in the direction of the peak force during normal walking, for five repetitions. The directional surface strains were used to evaluate the equivalent strain. Specimen specific finite element models were developed based on CT scan data using ScanIP. Each mesh consisted of an average of 2.5 million linear tetrahedral elements and was solved in ANSYS.<br/><br/>Results<br/><br/>The experimentally measured strains were compared against the finite element predictions. The mean linear gradients and SD of the mean at each gauge location were: 1.00 (16%), 0.78 (17%), 0.90 (13%) and 1.05 (4%).<br/><br/>Discussion<br/><br/>The agreement between the predicted and experimental equivalent strains was good, but varied across the population. This was caused by the variation in mechanical properties between specimens, and the sensitivity of the gauges to location (steep surface strain gradients). This is most evident with the second strain gauge (0.78, 17%), which is at a suboptimal location.<br/><br/>This specific methodology of conducting finite element analyses of the pelvis based on CT image data has been validated. The same methodology has been used to develop a patient specific FEA model, including a bone remodelling algorithm and muscle forces, based on the CT images from the Virtual Human Project. This model is currently being used to optimize the cemented fixation and will be verified experimentally using composite pelves. This research is aimed at informing clinical practice and enhancing long-term cemented fixation. Reducing the need for revision surgery will greatly improve patient quality of life, whilst also reducing the burden on the healthcare delivery system.