Tissue Constitutive Models in Human Body Models for Enhanced Safety (19w2266)

The Banff International Research Station will host the "Biological Tissue Mathematical Constitutive Models in Human Body Models for Enhanced Human Safety" workshop in Banff from April 12, 2019 to April 14, 2019.

Accidental injury is a leading cause of reduced quality of life, hospitalization and fatality globally. The World Health Organization estimates 1.2 million fatalities and up to 50 million injuries per year associated with 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. The primary inputs to a detailed finite element human model include geometry, boundary conditions and material properties. Material properties and constitutive models to implement these properties in CAE present one of the greatest challenges for the adoption and use of HBM to prevent severe injury, reduce low severity injury (e.g. WAD), and more recently to simulate human response to automated braking and crash avoidance systems.

This workshop will bring together world experts from academia and industry, dedicated to the development, validation and application of human body models, to address a critical need for improved biological tissue mathematical models, required for widespread use of these models to improve human safety in transportation.

The Banff International Research Station for Mathematical Innovation and Discovery (BIRS) is a collaborative Canada-US-Mexico venture that provides an environment for creative interaction as well as the exchange of ideas, knowledge, and methods within the Mathematical Sciences, with related disciplines and with industry. The research station is located at The Banff Centre in Alberta and is supported by Canada's Natural Science and Engineering Research Council (NSERC), the U.S. National Science Foundation (NSF), Alberta's Advanced Education and Technology, and Mexico's Consejo Nacional de Ciencia y Tecnología (CONACYT).