Title :
Mathematical modeling of vehicle frontal crash by a double spring-mass-damper model
Author :
Mnyazikwiye, Bernard B. ; Karimi, Hamid Reza ; Robbersmyr, K.G.
Author_Institution :
Dept. of Eng., Univ. of Agder, Grimstad, Norway
fDate :
Oct. 30 2013-Nov. 1 2013
Abstract :
This paper presents development of a mathematical model to represent the real vehicle frontal crash scenario. The vehicle is modeled by a double spring-mass-damper system. The front mass m1 represents the chassi of the vehicle and rear mass m2 represents the passenger compartment. The physical parameters of the model (Stiffness and dampers) are estimated using Nonlinear least square method (Levenberg-Marquart algorithm) by curve fitting the response of a double spring-mass-damper system to the experimental displacement data from the real vehicle crash. The model is validated by comparing the results from the model with the experimental results from real crash tests available.
Keywords :
impact (mechanical); least squares approximations; mathematical analysis; nonlinear equations; shock absorbers; vehicle dynamics; vibration control; Levenberg-marquart algorithm; curve fitting; double spring-mass damper model; mathematical model; nonlinear least square method; stiffness; vehicle frontal crash; Acceleration; Damping; Equations; Mathematical model; Vehicle crash testing; Vehicle dynamics; Vehicles; Modeling; Vehicle frontal crash; curve fitting; parameters estimation;
Conference_Titel :
Information, Communication and Automation Technologies (ICAT), 2013 XXIV International Symposium on
Conference_Location :
Sarajevo
DOI :
10.1109/ICAT.2013.6684071