车辆用户载荷谱试验场关联强化试验方法
DOI:
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

U467.1; TH12

基金项目:

国家自然科学基金资助项目(51378075)


Relation Enhancement Test Method of Customers Usage and Proving Ground of Vehicle Load Spectrum
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    研究了某车辆用户用法与试验场强化试验之间的载荷谱关联特性。根据用户损伤与试验场损伤相等的原理,建立车辆在试验场内的耐久性考核试验方法。通过一辆已安装传感器的车辆,采集真实汽车用户和试验场强化路的相关试验数据,应用雨流计数法获得疲劳载荷谱分布矩阵,并计算产生的疲劳伪损伤。利用市场调查统计用户的路面比例和装载质量,结合采集的用户实际使用数据,应用蒙特卡洛方法对汽车用户实际用法载荷谱的疲劳损伤进行仿真计算,确定涵盖90%汽车用户的疲劳载荷谱(雨流循环分级矩阵)。对比用户用法与试验场损伤载荷谱获得试验场强化试验技术参数,制定与试验场强化组合路面、试验里程、试验车速相关的试验方法。实际应用结果表明,该方法可准确预报车辆承载结构的潜在故障,有效缩短试验里程及产品研发周期。

    Abstract:

    The relationship between the proving ground (PG) strength test of vehicle sand customer usage is studied. The vehicle durability test regulation is established on the basis that the damage of PG equals that of the customers. All relevant data of the customers′ vehicles and the PG vehicle is recorded by a transducer on a vehicle. The fatigue load spectrum matrix is calculated with the rain flow counting method, and the causing false damage is worked out. The percent of miles on different roads and the cargo loads of different usersare surveyed. According to the acquisition signal and the customer survey, the customers′ road fatigue damage is simulated based on the Monte Carlo method, and 90% of the customer′s vehicle fatigue load spectrum (the rain-flow matrix) is confirmed. Comparing parameters of the load spectrum of PG damage with that of usage damage, we finally determine the experimental conditions of the PG strengthening roads, including the test miles and test speed. The results are able to exactly predict the vehicle bearing structure potential failure, and to effectively shorten the test mileage and product development cycle.

    参考文献
    相似文献
    引证文献
引用本文
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2015-01-06
  • 出版日期:
您是第位访问者
振动、测试与诊断 ® 2024 版权所有
技术支持:北京勤云科技发展有限公司