本文選題：氫氣燃爆 + 燃爆單元寬度　； 參考：《原子能科學(xué)技術(shù)》2017年06期

【摘要】：燃爆單元寬度λ是衡量可燃?xì)怏w燃爆風(fēng)險(xiǎn)的一項(xiàng)重要參數(shù),通常認(rèn)為其與特征化學(xué)反應(yīng)區(qū)寬度δ的比值是無(wú)量綱活化能和無(wú)量綱溫度的函數(shù)。在以上述兩個(gè)無(wú)量綱量為自變量、以λ/δ的對(duì)數(shù)為因變量對(duì)實(shí)驗(yàn)數(shù)據(jù)進(jìn)行回歸的基礎(chǔ)上,更進(jìn)一步引入無(wú)量綱壓力作為第3個(gè)自變量進(jìn)行回歸。另外,針對(duì)傳統(tǒng)參數(shù)回歸方法的不足,采用基于機(jī)器學(xué)習(xí)的支持向量回歸方法進(jìn)行數(shù)據(jù)擬合。比較回歸結(jié)果發(fā)現(xiàn),與采用二變量模型及參數(shù)回歸方法相比,采用三變量模型及支持向量回歸方法的計(jì)算結(jié)果與實(shí)驗(yàn)數(shù)據(jù)的擬合度更好,并能更為準(zhǔn)確地預(yù)測(cè)不同初始條件下可燃爆氣體的特征單元寬度。
[Abstract]:The width of combustion unit 位 is an important parameter to measure the explosion risk of combustible gas. It is generally considered that the ratio of 位 to the width 未 of characteristic chemical reaction zone is a function of dimensionless activation energy and dimensionless temperature. Taking the two dimensionless variables as independent variables and the logarithm of 位 / 未 as dependent variables, we further introduce dimensionless pressure as the third independent variable to regress the experimental data. In addition, the support vector regression method based on machine learning is used to fit the data. Compared with the two-variable model and the parametric regression method, the results obtained by using the three-variable model and the support vector regression method are better than those of the experimental data. And the characteristic unit width of ignitable gas under different initial conditions can be predicted more accurately.
【作者單位】： 清華大學(xué)工程物理系;卡爾斯魯厄理工學(xué)院;中國(guó)核動(dòng)力研究設(shè)計(jì)院核反應(yīng)堆系統(tǒng)設(shè)計(jì)技術(shù)重點(diǎn)實(shí)驗(yàn)室;
【基金】：核反應(yīng)堆系統(tǒng)設(shè)計(jì)技術(shù)重點(diǎn)實(shí)驗(yàn)室基金資助項(xiàng)目(HT-A100K-02-201406)
【分類號(hào)】：TL364.3
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本文編號(hào)：1863988