Paremaeter determination of a vehicle 5-DOF model to simulate occupant deceleration in a frontal crash

被引：0

作者：

Marzbanrad, Javad ^{[1
]}

Pahlavani, Mostafa ^{[2
]}

机构：

[1] School of Automotive Engineering, Iran University of Science and Technology, 16846-13114, Tehran, Iran

[2] Iran University of Science and Technology, Tehran, Iran

来源：

World Academy of Science, Engineering and Technology | 2011年 / 79卷

关键词：

Accidents - Genetic algorithms - Lumped parameter networks;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

This study has investigated a vehicle Lumped Parameter Model (LPM) in frontal crash. There are several ways for determining spring and damper characteristics and type of problem shall be considered as system identification. This study use Genetic Algorithm (GA) procedure, being an effective procedure in case of optimization issues, for optimizing errors, between target data (experimental data) and calculated results (being obtained by analytical solving). In this study analyzed model in 5-DOF then compared our results with 5-DOF serial model. Finally, the response of model due to external excitement is investigated.

引用

页码：336 / 341

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