Mathematical modeling and parameters estimation of car crash using eigensystem realization algorithm and curve-fitting approaches
Journal article, Peer reviewed
MetadataShow full item record
Original versionMunyazikwiye, B. B., Karimi, H. R., & Robbersmyr, K. G. (2013). Mathematical modeling and parameters estimation of car crash using eigensystem realization algorithm and curve-fitting approaches. Mathematical Problems in Engineering, 2013, 1-13. doi: 10.1155/2013/262196 10.1155/2013/262196
An eigensystem realization algorithm (ERA) approach for estimating the structural system matrices is proposed in this paper using the measurements of acceleration data available from the real crash test. A mathematical model that represents the real vehicle frontal crash scenario is presented. The model's structure is a double-spring-mass-damper system, whereby the front mass represents the vehicle-chassis and the rear mass represents the passenger compartment. The physical parameters of the model are estimated using curve-fitting approach, and the estimated state system matrices are estimated by using the ERA approach. The model is validated by comparing the results from the model with those from the real crash test.
Published version of an article in the journal: Mathematical Problems in Engineering. Also available from the publisher at: http://dx.doi.org/10.1155/2013/262196 Open Access