$Prediction of skull fractures and brain injury using finite element analysis / Mohd Hazwan Mohamed Norli$

Prediction of skull fractures and brain injury using finite element analysis / Mohd Hazwan Mohamed Norli

Traumatic Brain Injury (TBI) is a complex injury with a broad spectrum of disabilities and symptoms. Basically, it happens when head is impact with certain value of velocity and the victim must bear with a certain mechanism of injury. This research has investigated the potential for TBI using Finite...

Full description

Saved in:

Bibliographic Details
Main Author:	Mohamed Norli, Mohd Hazwan
Format:	Thesis
Language:	English
Published:	2019
Online Access:	https://ir.uitm.edu.my/id/eprint/89179/1/89179.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-uitm-ir.89179
record_format	uketd_dc
spelling	my-uitm-ir.891792024-04-23T00:53:18Z Prediction of skull fractures and brain injury using finite element analysis / Mohd Hazwan Mohamed Norli 2019 Mohamed Norli, Mohd Hazwan Traumatic Brain Injury (TBI) is a complex injury with a broad spectrum of disabilities and symptoms. Basically, it happens when head is impact with certain value of velocity and the victim must bear with a certain mechanism of injury. This research has investigated the potential for TBI using Finite Element (FE) analysis with rear impact on the head at different velocities. A 3D human skull and brain were presented and run through simulation in explicit dynamic analysis using commercial finite element software. The skull and brain are imported from step format into the simulation software Abaqus 6.13. The wall was designed as concrete box shape. Materials assigned for skull, brain and wall before locating the boundary condition at the back of wall as the skull is being impacted to the wall. During meshing procedure, skull model has a total of 106511 elements and 28386 nodes. Brain has a total of 29513 elements and 7296 nodes. Velocities were assigned in meter per seconds and the biomechanical behaviours were recorded completely. The risk of skull fractures and brain injury were predicted based on the resulting maximum principal stress and total displacement. Final objective of this research is to provide a predictive tool as FE model that can aid in injury diagnosis and design protective devices to minimize the impact effects. 2019 Thesis https://ir.uitm.edu.my/id/eprint/89179/ https://ir.uitm.edu.my/id/eprint/89179/1/89179.pdf text en public masters Universiti Teknologi MARA (UiTM) Faculty of Mechanical Engineering Abdullah, Abdul Halim
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Abdullah, Abdul Halim
description	Traumatic Brain Injury (TBI) is a complex injury with a broad spectrum of disabilities and symptoms. Basically, it happens when head is impact with certain value of velocity and the victim must bear with a certain mechanism of injury. This research has investigated the potential for TBI using Finite Element (FE) analysis with rear impact on the head at different velocities. A 3D human skull and brain were presented and run through simulation in explicit dynamic analysis using commercial finite element software. The skull and brain are imported from step format into the simulation software Abaqus 6.13. The wall was designed as concrete box shape. Materials assigned for skull, brain and wall before locating the boundary condition at the back of wall as the skull is being impacted to the wall. During meshing procedure, skull model has a total of 106511 elements and 28386 nodes. Brain has a total of 29513 elements and 7296 nodes. Velocities were assigned in meter per seconds and the biomechanical behaviours were recorded completely. The risk of skull fractures and brain injury were predicted based on the resulting maximum principal stress and total displacement. Final objective of this research is to provide a predictive tool as FE model that can aid in injury diagnosis and design protective devices to minimize the impact effects.
format	Thesis
qualification_level	Master's degree
author	Mohamed Norli, Mohd Hazwan
spellingShingle	Mohamed Norli, Mohd Hazwan Prediction of skull fractures and brain injury using finite element analysis / Mohd Hazwan Mohamed Norli
author_facet	Mohamed Norli, Mohd Hazwan
author_sort	Mohamed Norli, Mohd Hazwan
title	Prediction of skull fractures and brain injury using finite element analysis / Mohd Hazwan Mohamed Norli
title_short	Prediction of skull fractures and brain injury using finite element analysis / Mohd Hazwan Mohamed Norli
title_full	Prediction of skull fractures and brain injury using finite element analysis / Mohd Hazwan Mohamed Norli
title_fullStr	Prediction of skull fractures and brain injury using finite element analysis / Mohd Hazwan Mohamed Norli
title_full_unstemmed	Prediction of skull fractures and brain injury using finite element analysis / Mohd Hazwan Mohamed Norli
title_sort	prediction of skull fractures and brain injury using finite element analysis / mohd hazwan mohamed norli
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Mechanical Engineering
publishDate	2019
url	https://ir.uitm.edu.my/id/eprint/89179/1/89179.pdf
_version_	1804889804271255552

Prediction of skull fractures and brain injury using finite element analysis / Mohd Hazwan Mohamed Norli

Similar Items