本文選題：人工凍土 + 溫度場　； 參考：《安徽理工大學(xué)》2017年碩士論文

【摘要】：經(jīng)濟(jì)的迅速發(fā)展帶動能源的發(fā)展,各種大型礦物能源相繼被開發(fā)利用,因此需要建設(shè)工程項目越來越多。在工程建設(shè)的過程中,各種工程問題不斷出現(xiàn),其中由于凍土存在的工程隱患最為嚴(yán)重。而我國的凍土占國土面積比較多,因此對凍土性質(zhì)的研究具有十分重要的意義。土體凍結(jié),溫度發(fā)生變化的過程中,性質(zhì)也會相應(yīng)改變。影響土體溫度的眾多熱物理參數(shù)中,導(dǎo)熱系數(shù)的影響尤為重要。本文采用安徽理工大學(xué)自主研發(fā)人工凍土凍結(jié)試驗平臺進(jìn)行室內(nèi)模型試驗,模擬凍土凍結(jié)溫度的變化,模型試驗的凍結(jié)管分左右兩個圈徑,分別在下(-0.6m)、中(-0.3 m)、上(-0.1m)三層進(jìn)行溫度實時檢測;對支持向量機(jī)理論進(jìn)行闡述,在此理論的基礎(chǔ)上,利用支持向量機(jī)對采集到的數(shù)據(jù)進(jìn)行預(yù)測,預(yù)測溫度的變化;利用大型有限元分析軟件ANSYS,建立人工凍土凍結(jié)溫度場模型,對不同導(dǎo)熱系數(shù)條件下的凍土進(jìn)行模擬;在導(dǎo)熱系數(shù)反分析理論的基礎(chǔ)上,利用最小二乘法準(zhǔn)則對ANSYS后處理得到的測溫點理論溫度數(shù)據(jù)和試驗測得的溫度數(shù)據(jù)進(jìn)行分析,在模擬的導(dǎo)熱系數(shù)范圍內(nèi)確定出一個最優(yōu)導(dǎo)熱系數(shù);利用得到的最優(yōu)導(dǎo)熱系數(shù)進(jìn)行模擬,通過對比模擬得到的溫度和實測溫度,驗證反分析得到的等效導(dǎo)熱系數(shù)的準(zhǔn)確性,本模型試驗反分析得到的等效導(dǎo)熱系數(shù)為1.875kJ/(m·h·℃)。本文先是利用室內(nèi)模型試驗?zāi)M凍土凍結(jié)過程,利用支持向量機(jī)對溫度進(jìn)行實時預(yù)測,可以有效及時預(yù)測凍土溫度變化;并利用大型有限元軟件進(jìn)行導(dǎo)熱系數(shù)反演,得到的模擬溫度曲線與實測溫度曲線吻合較好,對實際的工程中凍土研究有很好的參考價值。
[Abstract]:With the rapid development of economy and the development of energy, a variety of large-scale mineral energy has been developed and used, so more and more construction projects are needed. In the process of engineering construction, various engineering problems appear constantly, among which the engineering hidden danger caused by frozen soil is the most serious. The permafrost occupies more land area in China, so the study of permafrost properties is of great significance. In the process of soil freezing and temperature changing, the properties will change accordingly. Among the many thermophysical parameters affecting soil temperature, the influence of thermal conductivity is particularly important. In this paper, the artificial frozen soil freezing test platform developed by Anhui University of Technology is used to carry out indoor model test, simulating the change of freezing temperature of frozen soil. The freezing pipe of the model test is divided into two circles diameter. The theory of support vector machine (SVM) is expounded on the basis of which the data collected are forecasted by support vector machine (SVM) to predict the change of temperature. In this paper, the model of freezing temperature field of artificial frozen soil is established by using the finite element analysis software ANSYS, and the frozen soil under different thermal conductivity is simulated, and based on the theory of back analysis of thermal conductivity, the model of freezing temperature field of artificial frozen soil is established. The theoretical temperature data obtained from ANSYS post-processing and the experimental temperature data are analyzed by using the least square method, and an optimal thermal conductivity is determined in the range of simulated thermal conductivity. By comparing the simulated temperature with the measured temperature, the accuracy of the equivalent thermal conductivity obtained by the back analysis is verified. The equivalent thermal conductivity obtained by the back analysis of the model test is 1.875kJ/(m h 鈩，

本文編號：1869804