Grant: Collaborative Research and Development Grants
University of Waterloo
$178,241.00
Computational Human Finite Element Models in Trauma Biomechanics for Enhanced Safety and Injury Prevention
FY 2019-20
Summary
Accidental injury is a leading cause of preventable hospitalization and fatality in Canada and throughout the world (Canada's Road Safety Strategy 2025). The World Health Organization estimates 1.2 million fatalities and up to 50 million injuries per year, globally, resulting from road traffic accidents. Crash Induced Injuries are recognized as preventable and Transport Canada has committed to reducing the number of road traffic fatalities. The US National Highway Traffic Safety Administration (NHTSA) has identified the importance of computer models and Human Body Models (HBM) capable of predicting injury as a vital biomechanics priority to improve safety. However, gaps in current knowledge include injury prediction capabilities, incorporation of active musculature, and gender/stature/age effects on injury outcome. The proposed project integrates with a global automotive industry effort dedicated to the development and validation of human body models, and brings together major vehicle manufacturers in Canada to enhance existing male and female neck models for injury prediction at the tissue level for complex loading scenarios. Of critical importance is enhancement of these models to address spinal cord injury, active musculature, and the development of novel aged neck models to address an at-risk population. The resulting new knowledge will provide the global research community with validated methods for predicting injury, aiming to reduce crash induced injuries to benefit all Canadians and support Transport Canada's goal to reduce road traffic fatalities and serious injuries.
Program
Collaborative Research and Development Grants
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
532184-2018
Name nom
Cronin, Duane
Department département
Mechanical Engineering and Mechatronics
Organization id
33
Institution établissement
University of Waterloo
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2019
Competition year année de concours
2018
Award amount
178241
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
512
Area of application group en
Manufacturing processes and products
Area of application group fr
Procédés et produits industriels
Area of application en
Transport equipment
Area of application fr
Matériel de transport
Research subject code
1903
Research subject group en
Biomedical engineering
Research subject group fr
Génie biomédical
Research subject en
Biomechanics
Research subject fr
Biomécanique
Installment
inst:1 - 1
Partie
1
Nb partie
1
Application title
Computational Human Finite Element Models in Trauma Biomechanics for Enhanced Safety and Injury Prevention
Keyword
NSERC
Application summary
Accidental injury is a leading cause of preventable hospitalization and fatality in Canada and throughout the world (Canada's Road Safety Strategy 2025). The World Health Organization estimates 1.2 million fatalities and up to 50 million injuries per year, globally, resulting from road traffic accidents. Crash Induced Injuries are recognized as preventable and Transport Canada has committed to reducing the number of road traffic fatalities. The US National Highway Traffic Safety Administration (NHTSA) has identified the importance of computer models and Human Body Models (HBM) capable of predicting injury as a vital biomechanics priority to improve safety. However, gaps in current knowledge include injury prediction capabilities, incorporation of active musculature, and gender/stature/age effects on injury outcome. The proposed project integrates with a global automotive industry effort dedicated to the development and validation of human body models, and brings together major vehicle manufacturers in Canada to enhance existing male and female neck models for injury prediction at the tissue level for complex loading scenarios. Of critical importance is enhancement of these models to address spinal cord injury, active musculature, and the development of novel aged neck models to address an at-risk population. The resulting new knowledge will provide the global research community with validated methods for predicting injury, aiming to reduce crash induced injuries to benefit all Canadians and support Transport Canada's goal to reduce road traffic fatalities and serious injuries.