Searching for a nonlinear ODE model of vehicle crash with genetic optimization

A. Horváth, Miklós F. Hatwágner, I. Harmati
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引用次数: 3

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.
基于遗传优化的汽车碰撞非线性ODE模型的搜索
车辆碰撞是一个非常复杂的过程,可以用有限元方法对其进行详细的建模,但一个简单的、具有有限数量参数的准启发式模型往往更有益。在本文中,我们提出了一个相对简单的在正面碰撞过程中变形和力的动态模型,该模型与实验数据非常相似。对三个汽车碰撞实验数据集进行了模型参数的遗传优化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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