首页> 外文会议>International Conference on Industrial Engineering >Modeling of operation processes and reliability assurance of engineering machines under the multivariable time-varying random loading
【24h】

Modeling of operation processes and reliability assurance of engineering machines under the multivariable time-varying random loading

机译:多变量时变随机加载下工程机器运行过程和可靠性保证的建模

获取原文

摘要

The article describes the case of multivariable random loading, which occurs when the caterpillar suspension component acts as a set of loads of independent random processes. In the danger zone details of the changes in the components of the stress tensor are independent random processes. As an example of parts operating at such a loading the author discusses tracked vehicle road arm. Presently, there are no standard techniques for the estimatation of fatigue life under random multivariable loading currently available. The article describes the method of estimating the fatigue life for this type of load, based on the calculation of microplastic deformation. It uses a structural model of the material, based on the description of the deformation diagram of dependence by Ramberg-Osgood. To identify the model of accumulation of damage conventional mechanical and fatigue characteristics of the material were used. Accounting for natural dispersion of fatigue characteristics allowed to get the result as a function of the probability of failure-free operation. The validity of the approach is confirmed by comparing the calculation results with the experimental data. The practical application of the technique is illustrated by the example of predicting the durability and reliability of heavily loaded parts of the high-speed caterpillar vehicle.
机译:本文描述了多变量随机加载的情况,当毛毛虫悬架组件用作一组独立随机过程时发生。在压力张量的组件的变化的危险区域中,是独立的随机过程。作为在这种装载的零件的一个例子,作者讨论了跟踪的车辆道路臂。目前,在目前可用的随机多变量负载下估计疲劳寿命没有标准技术。本文基于计算微塑性变形的计算,介绍了这种类型负载的疲劳寿命的方法。它使用材料的结构模型,基于Ramberg-Osgood的依赖性的变形图的描述。为了识别使用常规机械和疲劳特性的损伤累积模型。履行疲劳特性的自然色散允许使结果作为失败操作概率的函数。通过将计算结果与实验数据进行比较来确认这种方法的有效性。该技术的实际应用是通过预测高速毛毛虫车辆的重载部分的耐久性和可靠性的例子来说明的。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号