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 :
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