摘要
传统的整车道路载荷测量通道多、准备周期长、数据量大,在应用于大范围用户道路载荷测量时,需要耗费大量的人力、物力。以系统辨识的理论及方法为基础,提出了以少量测量通道统计结果估计整车及零部件疲劳累积损伤的方法,并利用某A级车小范围用户道路载荷数据,以车轮纵向疲劳累积损伤估计为例进行了解释说明。将通过系统辨识得到的估计值与实测值进行对比,结果表明两者有着较高的一致性,证明该方法有效。
To reduce thenumbers of measuring channels,prepare period and amount of data during the large-scale whole vehicle customer road load measurements,in this paper a method,based on system identification,was described to estimate the cumulative fatigue damage of whole vehicle and components with statistic results of only a few measuring channels. An example of longitudinal wheel cumulativefatigue damage estimation was also given based on small-scale customer road load data of a certain A-level car. With good consistency between the estimation result and the actual value,this method was proved to be feasible and valid.
出处
《机械强度》
CAS
CSCD
北大核心
2017年第5期1199-1203,共5页
Journal of Mechanical Strength
基金
上海市优秀技术带头人项目(14XD1420700)资助~~
关键词
系统辨识用户
道路载荷测量
疲劳累积损伤
systemidentification
Customer road load measurement
Cumulative fatigue damage
