Metod för bedömning av resultat från simuleringar jämfört med fysiska krockprov : För bedömning av skydd mot skada i krock

Physical crash testing is expensive and time consuming. Being able to simulate crashes virtually would significantly reduce costs and enable more testing focused on injury prevention, with the potential to improve vehicle safety. The discrepancy that may arise between physical tests response and virtual simulation response remains an obstacle to start using simulations in practice. This since it requires validated methods that ensure that the simulation recreates the physical crash. The aim of this project was to develop and apply a method for setting up virtual simulations and to evaluate them by comparing outputs to physical crash tests. The study focuses on lowspeed rear impact crashes using existing seat evaluation tools as dummies. This study was conducted primarily as a first step to integrating physical test results into virtual crash simulations for future development in injury prevention. Two primary models were chosen for the method development, a dummy representing an average woman, SET 50F, and the laboratory car seat developed for high replicability. A twophase simulation setup was developed, consisting of a positioning phase and a crash pulse phase. When the simulation was executed, output data essential for future neck injury research was extracted and analyzed against physical test data to see how well the simulation recreated the physical crash. The developed method was successfully applied to both the primary model SET 50F and the male counterpart SET 50M. Overall, the simulation response followed the trends of the physical test data well with just minor differences in, for example, peak acceleration and timing. A difference in general neck motion was identified, which could arise from discrepancies in the neck and/or torso region. The simulated Neck Injury Criteria closely followed the physical test trend throughout the whole simulation which is a great indication of well captured behavior.