本文關(guān)鍵詞： 可靠性分析 增強(qiáng)降維方法 軸向抽樣 額外抽樣點(diǎn)　出處：《科技通報(bào)》2016年06期 　論文類型：期刊論文

【摘要】：針對(duì)目前可靠性優(yōu)化設(shè)計(jì)中可靠性分析存在的難以得到優(yōu)化抽樣點(diǎn)問題,本文提出了一種基于變量抽樣點(diǎn)的增強(qiáng)降維(enhanced dimension reduction,e DR)方法。該方法針對(duì)每個(gè)隨機(jī)設(shè)計(jì)變量采用不同的軸向抽樣點(diǎn)。通過距離準(zhǔn)則確定是否增加額外抽樣點(diǎn)。這種引入額外抽樣點(diǎn)的概念可以在保證傳統(tǒng)e DR精度的情況下還可以進(jìn)一步提高分析效率。通過具體的數(shù)學(xué)和工程案例對(duì)所提出的抽樣法進(jìn)行分析性能研究。對(duì)比于傳統(tǒng)的基于固定抽樣點(diǎn)的e DR方法和功能度量法,所提出的改進(jìn)抽樣法在精度和效率方面都要更優(yōu)。
[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.
【作者單位】： 南京工業(yè)職業(yè)技術(shù)學(xué)院機(jī)械學(xué)院;
【分類號(hào)】：TH122

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