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Grant: Collaborative Research and Development Grants

University of Waterloo

$208,680.00

Advanced human neck models with active musculature for enhanced vehicle safety

EF 2015-16

Résumé
Accidental injury is a leading cause of hospitalization and fatality throughout the world. 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. Advanced finite element modeling has been used successfully in the complex HBM environment with higher-speed and lower-cost computing enabling significant advances over the last decade. However, gaps in current knowledge include injury prediction capabilities, incorporation of active musculature, and gender/size 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 an existing male neck model for injury prediction that incorporates active musculature and the development of a novel female neck model capable of predicting injury at the tissue level for complex loading scenarios. This cutting-edge modeling is essential for assessment of crash safety, reducing vehicle design cycle times and adopting advanced lightweight materials to meet Canada's 2025 reduced emissions goal requires. 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.
Programme
Collaborative Research and Development Grants
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
478304-2014
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
2015
Competition year année de concours
2014
Award amount
208680
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
Research partnerships programs
Group fr
Programmes de partenariat
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
Partie
1
Nb partie
3
Application title
Advanced human neck models with active musculature for enhanced vehicle safety
Keyword
NSERC
Application summary
Accidental injury is a leading cause of hospitalization and fatality throughout the world. 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. Advanced finite element modeling has been used successfully in the complex HBM environment with higher-speed and lower-cost computing enabling significant advances over the last decade. However, gaps in current knowledge include injury prediction capabilities, incorporation of active musculature, and gender/size 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 an existing male neck model for injury prediction that incorporates active musculature and the development of a novel female neck model capable of predicting injury at the tissue level for complex loading scenarios. This cutting-edge modeling is essential for assessment of crash safety, reducing vehicle design cycle times and adopting advanced lightweight materials to meet Canada's 2025 reduced emissions goal requires. 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.