中国机械工程

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基于退化过程的矿用自卸车货箱磨损预测分析

申焱华;魏福林;石博强   

  1. 北京科技大学,北京,100083
  • 出版日期:2016-11-10 发布日期:2016-11-10
  • 基金资助:
    国家科技支撑计划资助项目(2008BAB32B03);国家自然科学基金资助项目(51075029)

Wear Prediction Analysis of Mining Dump Truck Body Based on Degradation Processes

Shen Yanhua;Wei Fulin;Shi Boqiang   

  1. University of Science and Technology Beijing,Beijing,100083
  • Online:2016-11-10 Published:2016-11-10
  • Supported by:

摘要: 利用离散元法和有限元法的联合仿真,模拟矿用自卸车的卸货过程,求取了卸货过程中货箱底板各单元滑动磨损的时间历程。将磨损高度的变化设为连续随机动态过程,利用几何布朗运动建立了货箱磨损的退化模型。应用极大似然估计法和贝叶斯后验分布,计算底板各单元磨损高度变化的漂移率和波动率,实现对货箱底板磨损行为的预测。

关键词: 自卸车货箱, 磨损, 几何布朗运动, 预测

Abstract: The dumping processes of a dump truck were simulated by coupling the discrete element method and the finite element method. The abrasive wear time series of each grid on the bottom floor was obtained by the co-simulation results. Wear height variation of bottom floor was regarded as the stochastic dynamic process, and the geometric Brownian motion was used to build the degradation model of body wear. The drift and diffusion coefficients of wear height on each grid were calculated by maximum likelihood estimation and Bayesian posterior method. The wear behavior evolution of the body floor may be predicted based on the degradation model.

Key words: dump truck body, wear, geometric Brownian motion, prediction

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