Improved injury prediction using HBM, step 2
| Reference number | |
| Coordinator | CHALMERS TEKNISKA HÖGSKOLA AKTIEBOLAG - Institutionen för tillämpad mekanik, Avdelningen för fordonssäkerhet |
| Funding from Vinnova | SEK 1 925 000 |
| Project duration | April 2013 - February 2015 |
| Status | Completed |
| Venture | Traffic safety and automated vehicles -FFI |
| End-of-project report | 2013-01287eng.pdf (pdf, 389 kB) |
Purpose and goal
The aim was to suggest and evaluate thoracic AIS2+ injury criteria and risk curves for a human body model. This was done by: identifying injury criteria in a literature review, developing risk curves by simulating existing human data, statistically determining the risk curve quality, comparing the proposed criteria to field data in simulations of individual and representative frontal crashes. The Swedish automotive industry has gained knowledge on injury prediction with human body models thorough this project.
Results and expected effects
The project has evaluated injury criteria for a human body model and developed risk curves for thoracic AIS2+ injuries. It has increased the knowledge on injury criteria for human body models through active discussion and collaboration between industrial and academic partners at SAFER Vehicle and Traffic Safety Center at Chalmers as well as thorough several scientific publications and presentations. The project has delivered one doctoral thesis. Implementation of human body models in the simulations process for enhanced vehicle safety was sped up for the industrial partners.
Approach and implementation
Chalmers planned the simulation activities, picked with support from partners the thoracic injury criteria for evaluation, simulated existing human data to create risk curves, and evaluated these by simulations of representative frontal crashes compared to field data. Volvo provided computer resources for all simulations run by Chalmers. VCC provided field data and analyses for evaluation of injury risk. Autoliv provided model enhancements, analyses and simulation of individual crashes.