DocumentCode
2738437
Title
Searching for a nonlinear ODE model of vehicle crash with genetic optimization
Author
Horvath, András ; Hatwagner, Miklos F. ; Harmati, István Á
Author_Institution
Dept. of Phys. & Chem., Szechenyi Istvan Univ., Gyor, Hungary
fYear
2012
fDate
24-26 May 2012
Firstpage
131
Lastpage
136
Abstract
Vehicle crash is a very complex process, which can be modelled in details using the finite element method (FEM), but a simple, quasi-heuristic model with a limited number of parameters is often more beneficial. In this paper we propose a relatively simple dynamic model for deformation and force during a frontal collision process, which has very similar behavior to the experimental data. A genetic-type optimization of model parameters is executed on three car crash experimental data sets.
Keywords
deformation; finite element analysis; genetic algorithms; nonlinear differential equations; parameter estimation; road safety; search problems; vehicle dynamics; FEM; car crash experimental data sets; dynamic deformation model; dynamic force model; finite element method; frontal collision process; genetic optimization; model parameter optimization; nonlinear ODE model searching; quasiheuristic model; vehicle crash; Elastic recovery; Force; Measurement uncertainty; Power capacitors; Springs;
fLanguage
English
Publisher
ieee
Conference_Titel
Applied Computational Intelligence and Informatics (SACI), 2012 7th IEEE International Symposium on
Conference_Location
Timisoara
Print_ISBN
978-1-4673-1013-0
Electronic_ISBN
978-1-4673-1012-3
Type
conf
DOI
10.1109/SACI.2012.6249990
Filename
6249990
Link To Document