Pulse shape analysis and data reduction of real life crashes with modern passenger cars
2015 (English)In: International Journal of Crashworthiness, ISSN 1358-8265, E-ISSN 1754-2111, Vol. 20, no 6, 535-546 p.Article in journal (Refereed) Published
The increased use of computer simulations such as finite element modelling for evaluating passive safety applications has made it possible to simplify and parameterize complex physical processes. Crash pulses derived from laboratory tests have been used in many studies to evaluate and optimize passive safety systems such as airbags and seat belts. However, a laboratory crash pulse will only be representative of the acceleration time history of a specific car crashing into a barrier at a specified velocity. To be able to optimize passive safety systems for the wide variety of scenarios experienced during real-life crashes, there is a need to study and characterize this variation. In this study, crash pulses from real-life crashes as recorded by event data recorders were parameterized, and the influence of vehicle and crash variables was analysed. The pulse parameterization was carried out using eigenvalue analysis and the influence that vehicle and crash variables had on the pulse shape was determined with multiple linear regression. It was shown that the change in velocity, the subject vehicle mass, and the properties of the collision partner were the variables that had the greatest effect on the shape of the crash pulse. The results of this study can be used to create artificial real-life pulses with different crash parameters. This in turn can be used for stochastic computer simulation studies with the intention of optimizing passive safety systems that are robust to the wide variation in real-life crashes.
Place, publisher, year, edition, pages
Taylor & Francis, 2015. Vol. 20, no 6, 535-546 p.
EDR, real-life crash, pulse shape, eigenvalue analysis, frontal crash
Surgery Mechanical Engineering
Research subject biomechanics
IdentifiersURN: urn:nbn:se:umu:diva-102939DOI: 10.1080/13588265.2015.1057005ISI: 000362878500002OAI: oai:DiVA.org:umu-102939DiVA: diva2:811310