Development of Implementable Omni-Directional Chest, Spine and Head Injury Criteria for Human Body Models
Research Project, 2016
– 2018
Moving towards autonomous driving there is a need for tools that can support the development of the autonomous vehicle braking and avoidance systems by comparing the outcome of crashes (when a crash is unavoidable) at various crash directions and severity levels. Crash test dummies are only biofidelic in specific impact directions such as pure frontal or pure lateral impacts. Therefore there is a need for a tool that can predict injuries in all loading directions (frontal to side) at various severities. Human Body Models (HBM) have the potential to predict injuries to vehicle occupants in all crashes that occur in the real world.
The current project is addressing important injuries to three body parts of vehicle occupants in crashes, both when considering serious injuries as well as injuries leading to long term disability. These are thorax injuries (rib fractures), thoraco-lumbar spine injuries and head injuries. A biofidelic human body model capable of predicting these injuries will be used by the industrial partners Volvo Cars and Autoliv to develop pre-crash triggered restraint system and also for the development of the autonomous braking and avoidance systems as such.
The partner responsible for the application is Autoliv. Partners are Volvo Cars, Chalmers University, Umeå University and Gothenburg University (Sahlgren Hospital).
Participants
Johan Davidsson (contact)
Person Injury Prevention
Karin Brolin
Person Injury Prevention
Johan Iraeus
Person Injury Prevention
Mats Svensson
Person Injury Prevention
Collaborations
Autoliv AB
Vårgårda, Sweden
Umeå University
Umeå, Sweden
University of Gothenburg
Gothenburg, Sweden
Volvo Cars
Göteborg, Sweden
Funding
VINNOVA
Project ID: 2015-04864
Funding Chalmers participation during 2016–2018
Related Areas of Advance and Infrastructure
Sustainable development
Driving Forces
Transport
Areas of Advance
C3SE (Chalmers Centre for Computational Science and Engineering)
Infrastructure
Innovation and entrepreneurship
Driving Forces
Life Science Engineering (2010-2018)
Areas of Advance