Mathematical modeling and parameters estimation of a car crash using data-based regressive model approach

被引：29

作者：

Pawlus, Witold ^{[1
]}

Robbersmyr, Kjell Gunnar ^{[1
]}

Karimi, Hamid Reza ^{[1
]}

机构：

[1] Univ Agder, Fac Sci & Engn, N-4898 Grimstad, Norway

来源：

APPLIED MATHEMATICAL MODELLING | 2011年 / 35卷 / 10期

关键词：

Regressive models; Parameters estimation; Viscoelastic modeling; Virtual experiment; VEHICLE; CRASHWORTHINESS; SIMULATION; IMPACT;

D O I：

10.1016/j.apm.2011.04.024

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

In this paper we present the application of regressive models to simulation of car-to-pole impacts. Three models were investigated: RARMAX, ARMAX and AR. Their suitability to estimate physical system parameters as well as to reproduce car kinematics was examined. It was found out that they not only estimate the one quantity which was used for their creation (car acceleration) but also describe the car's acceleration, velocity and crush. A virtual experiment was performed to obtain another set of data for use in further research. An AR model to predict the behavior of a low-speed car impacting a rigid barrier was created and verified. (C) 2011 Elsevier Inc. All rights reserved.

引用

页码：5091 / 5107

页数：17

共 25 条

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