本文選題：人工填土 + 沉降計算��； 參考：《湘潭大學》2017年碩士論文

【摘要】：由于自然環(huán)境和地理條件的影響,我國的西部,特別是云貴地區(qū),地勢起伏較大,地形地貌復(fù)雜多變,導(dǎo)致深厚人工填土路基十分常見,而沉降是影響其工程質(zhì)量的一個關(guān)鍵問題。在實際工程中影響路基沉降的因素眾多,而各因素之間的變化規(guī)律、相互聯(lián)系以及對沉降規(guī)律的認知程度等問題,往往難以分析清楚,使得沉降量的理論計算和工后沉降量的預(yù)測均存在一定的局限性,因此準確的計算與預(yù)測路基沉降就具有重要的理論價值和工程意義。本文依托《中石油云南石化鐵路專用線廠區(qū)鐵路裝卸場路基沉降觀測》項目,結(jié)合現(xiàn)場大量沉降觀測數(shù)據(jù),采用理論計算和模型預(yù)測對中石油云南石化鐵路專用線廠區(qū)鐵路裝卸場深厚人工填土路基的沉降進行了研究,取得了以下主要成果:(1)針對中石油云南石化鐵路專用線廠區(qū)鐵路裝卸場深厚人工填土路基,對其進行了沉降計算,并對比分析了不同沉降計算方法對深厚人工填土路基的適用性。根據(jù)現(xiàn)場實際情況,選取典型工點進行鉆探取樣,考慮人工填土的特點,開展了人工填土基本物理工程特性試驗和單向壓縮固結(jié)試驗,并獲取人工填土的物理參數(shù)、壓縮系數(shù)、壓縮指數(shù)等壓縮指標,進行了沉降理論計算,并對比分析不同沉降理論計算方法對深厚人工填土路基沉降理論計算的適用性。結(jié)果表明:規(guī)范修正公式法和應(yīng)力歷史法法對人工填土路基最終沉降具有一定的指導(dǎo)意義。(2)針對不確定性影響因素下實測沉降數(shù)據(jù)工后沉降預(yù)測誤差較大的問題,采用遞歸圖和遞歸定量分析方法對沉降時間序列的可預(yù)測性進行了分析,辨識出預(yù)測效果較好的沉降時間序列。通過對深厚人工填土路基的沉降時間序列進行可預(yù)測性分析得出:沉降時間序列具有混沌特性;其的遞歸圖顏色分布越規(guī)律、色彩深淺變化越均勻,沿著主對角線出現(xiàn)的白色區(qū)域越小,表明可預(yù)測性越強;通過提取遞歸定量分析指標隨時間變化的曲線,直接確定最佳預(yù)測時間起點為22天;利用遞歸圖求取二階任意熵作為沉降時間序列的可預(yù)測步長因子,推算出C4沉降時間序列的預(yù)測效果最佳。(3)利用殘差馬爾科夫鏈修正無偏灰色預(yù)測模型對深厚人工填土路基的沉降進行了預(yù)測,獲得的擬合曲線與實測曲線吻合度較好,驗證了該模型的準確性。在實際的監(jiān)測過程中,所獲取的沉降時間序列是非等時距的,對這一類的數(shù)據(jù)進行預(yù)測,首先采用工程上常用的三次樣條插值函數(shù)進行等時距處理,然后采用殘差馬爾科夫鏈修正無偏灰色模型進行沉降預(yù)測,其預(yù)測精度達到要求。
[Abstract]:Because of the influence of natural environment and geographical condition, the western part of our country, especially in Yungui area, has a large relief and complex landform, which leads to the deep artificial filling roadbed very common. Settlement is a key problem affecting the engineering quality. There are many factors that affect subgrade settlement in practical engineering, but it is difficult to analyze the law of variation, interrelation and cognitive degree of settlement law among the factors. The theoretical calculation of settlement and the prediction of settlement after construction have some limitations, so it is of great theoretical value and engineering significance to calculate and predict the settlement of roadbed accurately. Based on the project of "observation of subgrade settlement of Railway loading and unloading Yard in the Plant area of Yunnan Petrochemical Railway of PetroChina", this paper combines with a large number of on-site settlement observation data. Theoretical calculation and model prediction are used to study the settlement of the deep artificial subgrade in the railway loading and unloading yard in the special railway line area of CNPC Yunnan Petrochemical Company. The following main achievements have been obtained: (1) the settlement calculation has been carried out for the deep artificial filling subgrade of the railway loading and unloading yard in the special railway line area of CNPC Yunnan Petrochemical Company. The applicability of different settlement calculation methods to deep artificial embankment is compared and analyzed. According to the actual situation of the site, the typical work points are selected for drilling sampling, considering the characteristics of artificial fill, the basic physical engineering characteristic test and unidirectional compression consolidation test of artificial fill are carried out, and the physical parameters and compression coefficient of artificial fill are obtained. The compressing index is used to calculate the settlement theory, and the applicability of different settlement theory calculation methods to the deep artificial subgrade settlement calculation is compared and analyzed. The results show that the modified formula method and the stress history method have certain guiding significance for the final settlement of artificial fill subgrade. The prediction of settlement time series is analyzed by using recursive graph and recursive quantitative analysis method, and the settlement time series with better prediction effect is identified. Through the predictive analysis of the settlement time series of deep artificial fill subgrade, it is concluded that the time series of settlement has chaotic characteristics, the more regular the color distribution of the recursion graph, the more uniform the change of color depth and light is. The smaller the white area along the main diagonal is, the stronger the predictability is, and by extracting the curve of recursive quantitative analysis index changing with time, the best prediction time starting point is 22 days directly. The second order entropy is obtained by recursive graph as the predictable step factor of settlement time series. The best prediction effect of C4 settlement time series is deduced.) the modified unbiased grey prediction model of residual Markov chain is used to predict the settlement of deep artificial fill subgrade. The fitting curve is in good agreement with the measured curve. The accuracy of the model is verified. In the actual monitoring process, the settlement time series obtained are non-iso-time interval. To predict this kind of data, the cubic spline interpolation function commonly used in engineering is first used to process the equal time interval. Then the residual Markov chain modified unbiased grey model is used to forecast the settlement, and the prediction accuracy is up to the requirement.
【學位授予單位】：湘潭大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：U416.1

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