【摘要】：滲流問題和滲透變形一直是堤防出現(xiàn)險情的重要原因。探討堤防滲流分析和滲透破壞類型的研究現(xiàn)狀及發(fā)展過程，對于合理的分析和評價堤防的安全性能、采取合理的防滲措施具有重要參考價值和實踐意義。運用智能算法對土工試驗中的擊實、顆分、比重、液塑限試驗參數(shù)進行預測分析，將最大干密度、比重、顆分、界限含水率作為模型輸入，滲透系數(shù)作為模型預測輸出，將模型輸出值與滲透試驗得出的試驗值進行對比分析，以驗證智能算法對于數(shù)據(jù)預測中的可行性，可作為滲透系數(shù)試驗的參考值，也可作為現(xiàn)場無滲透系數(shù)試驗條件下，工程所需滲透系數(shù)的近似值。本文結(jié)合峽江庫區(qū)某防護工程，利用有限元軟件分析該防護工程堤防的滲流狀況，從而為該防護工程采取的防滲措施提供依據(jù)。本文的主要內(nèi)容如下： 1．介紹峽江庫區(qū)工程土工試驗中的擊實、顆分、比重、液塑限、滲透系數(shù)等試驗方法，通過該土工試驗得出的試驗參數(shù)，作為智能算法預測分析模型中的輸入與輸出值。 2．針對峽江庫區(qū)工程中的土工檢測數(shù)據(jù)較少，選取智能算法中專門解決小樣本問題的SVM算法，就該土工檢測數(shù)據(jù)進行分析，并與FOAGRNN和BP算法進行對比，以驗證SVM算法對于小樣本訓練的高精度的特性。 3．結(jié)合峽江某堤防工程的設計資料，利用有限元軟件對該堤防工程進行建模分析，，得出該堤防的滲流狀況，根據(jù)滲流分析結(jié)果，采用相應的防滲措施，并介紹了該堤防工程防滲措施的施工工藝流程以及施工的主要方法。
[Abstract]:Seepage problem and seepage deformation are always the important reasons for the dangerous situation of embankment. This paper discusses the present situation and development process of seepage analysis and seepage failure type of levees, which has important reference value and practical significance for reasonable analysis and evaluation of levee safety performance and taking reasonable seepage prevention measures. The parameters of compaction, particle fraction, specific gravity and liquid-plastic limit test in geotechnical test are predicted and analyzed by intelligent algorithm. The maximum dry density, specific gravity, particle fraction and limit moisture content are taken as the input of the model, and the permeability coefficient is taken as the predicted output of the model. In order to verify the feasibility of the intelligent algorithm in data prediction, the model output value is compared with the experimental value obtained from the permeation test, which can be used as the reference value of the permeability coefficient test, and it can also be used as the field non-permeability coefficient test condition. Approximate value of the required permeability coefficient for engineering. Combined with a protection project in Xijiang reservoir area, the seepage condition of the levee of the protection project is analyzed by using finite element software, thus providing the basis for the seepage prevention measures taken by the protection project. The main contents of this paper are as follows: 1. The test methods of compaction, particle fraction, specific gravity, liquid-plastic limit, permeability coefficient and so on in the geotechnical test of Xijiang reservoir area are introduced, and the test parameters obtained from the geotechnical test are introduced. As the input and output value of intelligent algorithm prediction and analysis model. 2. Aiming at the lack of geotechnical detection data in Xiajiang reservoir area project, the SVM algorithm is selected to solve small sample problem in intelligent algorithm. The geotechnical testing data are analyzed and compared with the FOAGRNN and BP algorithms to verify the high accuracy characteristics of the SVM algorithm for small sample training. 3. Combining with the design data of a dike project in Xiajiang River, Using finite element software to model and analyze the levee project, the seepage condition of the levee is obtained. According to the seepage analysis result, the corresponding seepage prevention measures are adopted. This paper also introduces the construction process and main methods of seepage prevention measures of the levee project.
【學位授予單位】：南昌大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TV223.4;TV871

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