Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.815174
Title: Computational models to predict pelvic bone architecture and fracture
Author: Zaharie, Dan T.
ISNI:       0000 0004 9356 8403
Awarding Body: Imperial College London
Current Institution: Imperial College London
Date of Award: 2018
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Abstract:
The pelvic construct is a crucial component of the human musculoskeletal appa- ratus as it facilitates the transfer of the upper body weight to the lower limb and it protects a number of important blood vessels and organs. Its importance is further highlighted by the high mortality rates associated with pelvic trauma. As the structure of the pelvic construct has not been studied extensively and the mechanisms of pelvic fractures are not well understood, this project aims to use computational tools to develop a series of predictive models, with the purpose of gaining a deeper understanding of its bone architecture and its behaviour in loading environments associated with pelvic injuries. A number of predictive structural and continuum finite element models of the pelvic construct were developed and their structure was adapted to a loading environment associated with daily physical activities. The models were compared to a subject specific model derived from medical imaging data to assess the different modelling techniques used. The optimised structural model was used in conjunction with a damage elasto-plasticity material model to predict fracture patterns and fracture loads in dynamic loading scenarios associated with pelvic injuries. The comparison between adaptive FE models highlights the strengths and weaknesses of each modelling technique implemented. In addition, the ability of the structural model to predict fracture initiation and progression enables the user to obtain more in depth information on the outcome of a simulated injury scenario. The computational models presented in the thesis provide a useful information on the particularities of pelvic bone and can be used in a variety of applications ranging from rehabilitation tools to additive manufacturing of massive endoprostheses or frangible surrogates for ethical and low cost testing of injury scenarios.
Supervisor: Phillips, Andrew Sponsor: Royal British Legion
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.815174  DOI:
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