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汽车碰撞改进模型的参数敏感性分析
Parameter Sensitivity Analysis of Improved Vehicle Collision Models
【摘要】 为了验证汽车碰撞模型病态性处理结果的有效性、克服原始模型在病态范围内不能控制结果误差的缺点,在原始模型的基础上,通过重组模型,建立了汽车碰撞改进模型,提出了基于矩阵理论的模型病态性处理结果检验方法——模型参数敏感性分析方法.实例分析表明,当两车质量比处于原始模型病态范围内、且碰撞前车速方向角和碰撞中心坐标的误差分别为1°和1%时,重组模型解的相对误差不超过2.9%.
【Abstract】 In order to verify the effectiveness of ill-condition treatment for an original vehicle collision model and to overcome the defect that the original model cannot control the errors of results in ill conditions,an improved vehicle collision model was built through reconstruction of the original model.Then,a parameter sensitivity analysis method was developed based on matrix theory to treat the ill-condition problem of the improved model.The analysis result of a case study shows that the relative error of the solution of the reconstructed model is not more than 2.9%,when the mass ratio of two vehicles falls into a ill-condition range and there is an error of 1° in pre-collision velocity direction and an error of 1% in the collision point coordinates of the two vehicles.
【Key words】 vehicle collision model; ill-condition; parameter sensitivity analysis; error;
- 【文献出处】 西南交通大学学报 ,Journal of Southwest Jiaotong University , 编辑部邮箱 ,2010年03期
- 【分类号】U467.14
- 【被引频次】10
- 【下载频次】227