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  A Scaled Framework for Impact and Blast Induced Traumatic Brain Injury Risk Assessment

   Department of Mechanical, Aerospace and Civil Engineering

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  Dr R Darvizeh  Applications accepted all year round  Self-Funded PhD Students Only

About the Project

Despite recent efforts to understand impact and blast induced traumatic brain injury (TBI), there are still no widely accepted injury criteria for humans which highly restrict using of numerical methods. Also, corpses' brains cannot be used as experimental samples as their tissues are considerably changed after death. Furthermore, respecting to animals' rights and more importantly non-applicability of animal brain injury results to humans are some reasons which strongly limit using of animals as experimental samples. Hence, as stated by Jones (Structural Impact), the testing of equivalent models is indispensable for complicated structural systems which are difficult to be analysed theoretically, numerically, and experimentally. The most well-known scaling methods are those which are developed based on the dimensional analysis, while they are suffering from many disadvantages which the most important one is being restricted to limited number of degrees of freedom. However, the recently developed high order finite similitude which is founded on the concept of space distortion enables us to expand or contract an experimental apparatus or structure. This theory which provides us with more degrees of freedom has a high capability to be used in diverse practical applications particularly in biomedical applications. In this project, we will use the high order finite similitude theory to propose a scaled framework to investigate impact and blast induced traumatic brain injury risk assessment. Brain samples will be built using advanced 3D printing technologies. By creating a relationship between 3D printed brain samples and the real brain using the high order finite similitude theory, impact and blast induced traumatic brain injury will be assessed by experimenting equivalent brain samples made of different biomaterials. Furthermore, it will be revealed here which biomaterials used to build equivalent 3D printed brain samples can replicate the intended behaviour of brains with the least error.


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Engineering (12) Mathematics (25)

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 About the Project