基于遺傳算法的巖土及填料熱物性參數(shù)評估
發(fā)布時間:2018-03-03 21:59
本文選題:填料熱物性 切入點:遺傳算法 出處:《湖南大學(xué)學(xué)報(自然科學(xué)版)》2017年03期 論文類型:期刊論文
【摘要】:巖土及填料的熱物性參數(shù)可直接影響地埋管換熱器的性能設(shè)計.針對現(xiàn)場熱響應(yīng)測試中填料熱物性參數(shù)需要預(yù)先測量,而無法通過計算直接評估的難題,在無限長線熱源模型及管壁熱阻修正復(fù)合介質(zhì)線熱源模型的基礎(chǔ)上,應(yīng)用遺傳算法對巖土及填料的熱物性參數(shù)同時進行評估,并結(jié)合熱響應(yīng)測試實驗,驗證了該方法的準確性.鉆孔熱阻、巖土導(dǎo)熱系數(shù)和填料導(dǎo)熱系數(shù)的評估值與實測值的相對誤差分別為3.47%,1.42%和4.93%.2種模型計算所得流體平均溫度與實測值的均方根誤差分別為0.050 5℃和0.172℃.研究結(jié)果對地埋管換熱器的設(shè)計具有重要參考價值.
[Abstract]:The thermal property parameters of rock, soil and fillers can directly affect the performance design of ground buried tube heat exchangers. In view of the difficult problem that the thermal physical parameters of fillers need to be measured in advance in the field thermal response test, they cannot be directly evaluated by calculation. On the basis of infinite line heat source model and tube wall heat resistance modified composite medium line heat source model, the thermal physical parameters of rock, soil and fillers are evaluated simultaneously by genetic algorithm, and the thermal response test experiment is carried out. The accuracy of the method is verified. The relative error between the evaluation value and the measured value of the thermal conductivity of rock soil and filler is 3.47% and 4.93.2%, respectively. The RMS error between the average temperature of fluid and the measured value is 0.050 鈩,
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