Predicting and preventing traumatic brain injury: A novel computational approach

Traumatic brain injury (TBI) is a severe health problem for society. Meanwhile, predicting and preventing TBI remains challenging in the field. Peak rotational velocity was demonstrated to be correlated to brain strain responses, and hence could potentially serve as a good predictor for brain injury. Brain strain was influenced by impact direction, deceleration and impact loading curve shapes. Wearing helmets is an effective way to protect the brain from TBI, but there lacks a study on evaluating helmet performance based on both energy absorption and brain strain response, which this study addressed. Interestingly, helmet shell absorbed around half of the energy, followed by interior foams close to impact locations. Facemask also affected brain strain response as it changed both the rigidity and inertia of the helmet.

Name thesis:degree_name

M Eng Sci

Discipline thesis:degree_discipline

Mechanical and Materials Engineering

Grantor dc:publisher

The University of Western Ontario

Year dc:date.issued

2019

Author dc:creator

• Bian, Kewei

Advisor dc:contributor.advisor

• Mao, Haojie

• Traumatic brain injury (TBI)
• strain
• rotational velocity
• brain strain distribution
• helmet
• facemask

Language dc:language.iso

en_ca

Handle dc:identifier.uri

https://hdl.handle.net/20.500.14721/29359

OAI identifier oai:identifier

oai:uwo.scholaris.ca:20.500.14721/29359