[1]龙岩,蒋凌山,刘雪强,等.车身疲劳载荷识别与应用[J].西安交通大学学报,2020,54(07):034-42+93.[doi:10.7652/xjtuxb202007005]
 LONG Yan,JIANG Lingshan,LIU Xueqiang,et al.Identification of Vehicle Body Fatigue Loads and Its Application[J].Journal of Xi'an Jiaotong University,2020,54(07):034-42+93.[doi:10.7652/xjtuxb202007005]
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车身疲劳载荷识别与应用
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《西安交通大学学报》[ISSN:0253-987X/CN:61-1069/T]

卷:
54
期数:
2020年第07期
页码:
034-42+93
栏目:
出版日期:
2020-07-08

文章信息/Info

Title:
Identification of Vehicle Body Fatigue Loads and Its Application
文章编号:
0253-987X(2020)07-0034-09
作者:
龙岩12 蒋凌山2 刘雪强2 陈志勇1 高承明1 黄禹霆2
1.吉林大学汽车仿真与控制国家重点实验室, 130022, 长春; 2.一汽-大众汽车有限公司技术开发部, 130011, 长春
Author(s):
LONG Yan12 JIANG Lingshan2 LIU Xueqiang2 CHEN Zhiyong1 GAO Chengming1 HUANG Yuting2
1. State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China; 2. Department of Technical Development, FAW-Volkswagen Automotive Company, Ltd., Changchun 130011, China
关键词:
改进估计算法 虚拟迭代 载荷识别 疲劳寿命预测
Keywords:
improved estimation virtual iteration load identification fatigue life prediction
分类号:
U462.3
DOI:
10.7652/xjtuxb202007005
文献标志码:
A
摘要:
为提高整车载荷识别精度和车身疲劳寿命预测精度,提出应用改进的振动系统传递函数估计算法结合虚拟迭代计算方法,以提高整车输入载荷识别精度和车身疲劳寿命预测精度。首先,应用道路载荷测量车进行整车试验场耐久性强化试验道路载荷信号采集,建立满足工程精度要求的整车刚柔耦合多体动力学模型。在整车振动系统传递函数矩阵识别中,利用改进的估计算法消除输入载荷和响应载荷中随机干扰信号的影响,然后应用整车动力学模型进行输入载荷的虚拟迭代计算,获得比H1估计方法更准确的输入载荷。最后,将虚拟输入载荷导入白车身有限元模型中进行寿命预测计算,并应用整车四通道道路模拟试验进行白车身疲劳寿命试验来验证提出的寿命预测计算的准确性。结果表明,仿真预测结果与试验结果基本一致,说明所应用的改进估计算法和虚拟迭代计算方法可以获得更加准确的整车输入载荷,提高车身疲劳寿命预测的精度。
Abstract:
For the improvement of vehicle body fatigue loads identification and fatigue life prediction, an estimation method and a virtual iteration method were proposed to acquire more accurate vehicle body fatigue loads and fatigue life prediction. Firstly, intensified road loads in test field were collected by road load measuring vehicle, and then a rigid-flexible coupling multi-body dynamic simulation model with engineering accuracy was established. In the identification of vehicle vibration transfer matrix, the improved estimation method was applied to eliminate the influence of the stochastic interference signals in input loads and output loads, then the vehicle virtual input fatigue loads were calculated by virtual iteration with the multi-body dynamic model, and more accurate virtual input fatigue loads were obtained than H1 estimation method. Finally, the virtual input fatigue loads were used for the vehicle body fatigue life prediction with body-in-white finite element model, and the vehicle fatigue tests on four-poster road simulation test-bench were carried out for the validation of fatigue life prediction. It shows that the results of vehicle body fatigue life prediction are consistent with the test results, indicating that the improved estimation method and virtual iteration method can obtain more accurate identification results and improve prediction accuracy of vehicle body fatigue life.

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备注/Memo

备注/Memo:
收稿日期: 2020-01-20。作者简介: 龙岩(1979—),男,博士,高级工程师; 陈志勇(通信作者),男,副教授,博士生导师。基金项目: 国家重点研发计划资助项目(2018YFB0106200)。
更新日期/Last Update: 2020-07-10