中国机械工程 ›› 2023, Vol. 34 ›› Issue (15): 1881-1889.DOI: 10.3969/j.issn.1004-132X.2023.15.013

• 工程前沿 • 上一篇    下一篇

非随机载荷不确定的机车侧墙过滤系统两相流可靠性分析

屈小章;张加贝;翟方志   

  1. 湖南联诚轨道装备有限公司,株洲,412001
  • 出版日期:2023-08-10 发布日期:2023-08-15
  • 作者简介:屈小章,男,1983年生,教授级高级工程师、博士。研究方向为流体机械可靠性。E-mail:quxiaozhang2001@163.com。
  • 基金资助:
    湖湘青年英才项目(2020RC3093);湖南省创新创业大赛专题(2022GK3099);湖南省自然科学基金(2023JJ50115)

Reliability-based Analysis for Two-phase Flow of Locomotive Side Wall Filtration Systems with Non-random Load Uncertainty

QU Xiaozhang;ZHANG Jiabei;ZHAI Fangzhi   

  1. Hunan Lince Rail Equipment Co.,Ltd.,Zhuzhou,Hunan,412001
  • Online:2023-08-10 Published:2023-08-15

摘要: 针对机车侧墙过滤系统制造安装和运行环境变化的可靠性问题,考虑到载荷参数认知不确定性建模困难,结合制造安装随机性,提出了一种含区间非随机载荷不确定的机车侧墙过滤系统两相流可靠性分析方法。首先,通过实验对比,建立了机车侧墙过滤系统两相流的CFD模型。其次,采用概率和区间混合不确定性模型及其相应的有效可靠性分析方法,对机车侧墙过滤系统的两相流动力学问题进行可靠性分析。对样本充足的结构参数和样本不足的载荷参数分别用概率和区间法进行度量,因样本不足而造成的认知不确定性建模困难可以快速得到解决,扩展了区间混合不确定性的可靠性分析技术在两相流动力学问题研究中的适用性。通过对电力机车侧墙过滤系统两相流问题的阻力和过滤效率等载荷可靠性问题的研究,合理提高了关键参数的不确定性水平,既可兼顾成本又可提高过滤系统的可靠性,满足电力机车运行复杂环境高可靠性应用的要求,为工程应用提供参考。

关键词: 两相流, 可靠性分析, 区间, 混合模型, 机车侧墙过滤系统

Abstract:  A two-phase flow reliability analysis method was proposed for locomotive side wall filtration systems with interval non-random load uncertainty, considering the difficulty of modeling the cognitive uncertainty of load parameters and combining the randomness of manufacturing and installation, aiming at the reliability problems of the locomotive side wall filtration systems with the changes of operating environments. Firstly, the CFD model of two-phase flow in the filter system of the locomotive side walls was established through experimental comparison. Secondly, the reliability analysis of the two-phase flow mechanics problem of the locomotive side wall filtration systems was carried out by using the probabilistic and interval mixed uncertainty model and the corresponding effective reliability analysis method. The structural parameters with sufficient samples and load parameters with insufficient samples were measured by probability and interval method respectively. The difficulty of modeling cognitive uncertainty caused by insufficient samples could be quickly solved, which extended the applicability of reliability analysis technique of interval mixed uncertainty in the study of two-phase flow mechanics problems. Through the study of load reliability problems such as resistance and filtration efficiency of two-phase flow problem of electric locomotive side wall filtration systems, reasonable improvement of the uncertainty level of key parameters may take into account the cost, and improve the reliability of the filtration systems, Which meets the requirements of high reliability applications in complex operating environments of electric locomotives, and provides reference for engineering applications. 

Key words: two phase flow, reliability analysis, interval, hybrid model, locomotive side wall filtration system

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