基于增强降维原理的可靠性优化机械设计

发布时间：2018-02-17 02:13

本文关键词： 可靠性分析增强降维方法轴向抽样额外抽样点　出处：《科技通报》2016年06期 　论文类型：期刊论文

【摘要】：针对目前可靠性优化设计中可靠性分析存在的难以得到优化抽样点问题,本文提出了一种基于变量抽样点的增强降维(enhanced dimension reduction,e DR)方法。该方法针对每个随机设计变量采用不同的轴向抽样点。通过距离准则确定是否增加额外抽样点。这种引入额外抽样点的概念可以在保证传统e DR精度的情况下还可以进一步提高分析效率。通过具体的数学和工程案例对所提出的抽样法进行分析性能研究。对比于传统的基于固定抽样点的e DR方法和功能度量法,所提出的改进抽样法在精度和效率方面都要更优。
[Abstract]:In view of the problem of reliability analysis in reliability optimization design, it is difficult to obtain optimal sampling points. In this paper, an enhanced reduced dimension enhanced dimension reductione DR-based method based on variable sampling points is proposed. This method uses different axial sampling points for each random design variable. The distance criterion is used to determine whether additional sampling points are added. The introduction of the concept of extra sampling points can further improve the efficiency of analysis under the condition of ensuring the accuracy of traditional EDR. The analytical performance of the proposed sampling method is studied through specific mathematical and engineering cases. The traditional method of EDR and function measurement based on fixed sampling points, The proposed improved sampling method is better in accuracy and efficiency.
【作者单位】：南京工业职业技术学院机械学院;
【分类号】：TH122

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