{"id":{"repo_id":"uwo","oai_identifier":"oai:uwo.scholaris.ca:20.500.14721/29359"},"canonical_url":"https://search.dev.ndltd.org/etd/uwo/oai:uwo.scholaris.ca:20.500.14721/29359","repository":{"repo_id":"uwo","name":"Western University","base_url":"https://uwo.scholaris.ca/server/oai/request"},"display":{"title":"Predicting and preventing traumatic brain injury: A novel computational approach","abstract":"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.","abstract_html":"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.","abstract_has_math":false,"creators":["Bian, Kewei"],"institution":"The University of Western Ontario","degree_name":"M Eng Sci","degree_level":null,"degree_discipline":"Mechanical and Materials Engineering","degree_department":null,"school":null,"contributors":[],"advisors":["Mao, Haojie"],"committee_chairs":[],"committee_members":[],"year":2019,"date_issued":"2019-08-20","date_published":"2019-08-20","updated_at":"2026-07-27T21:55:54Z","subjects":["Traumatic brain injury (TBI)","strain","rotational velocity","brain strain distribution","helmet","facemask"],"languages":["en_ca"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/20.500.14721/29359","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Mao, Haojie"]},{"key":"dc:creator","label":"Author","values":["Bian, Kewei"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2025-07-10T16:20:38Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2025-07-10T16:20:38Z"]},{"key":"dc:date.issued","label":"Date","values":["2019-08-20"]},{"key":"dc:publisher","label":"Institution","values":["The University of Western Ontario"]},{"key":"dc:type","label":"Dc Type","values":["thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Mechanical and Materials Engineering"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M Eng Sci"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Traumatic brain injury (TBI)","strain","rotational velocity","brain strain distribution","helmet","facemask"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en_ca"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/20.500.14721/29359"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["The thesis cover page in the PDF document includes references to Western University’s previous institutional repository platform, known as Scholarship@Western, and links to that platform (beginning with ir.lib.uwo.ca). In citing or referring to this thesis, use the DOI or handle from this page instead. Sample citation: Author name, \"Thesis title.\" (Year). Western University Open Repository. https://doi.org/10.71858/123456."]},{"key":"dc:description.abstract","label":"Abstract","values":["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. 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