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不確定信息處理方法在邊坡穩(wěn)定性分析中的應(yīng)用

發(fā)布時間:2018-07-17 20:01
【摘要】:邊坡的穩(wěn)定性分析問題一直都是巖土工程安全中十分重要的研究內(nèi)容。到目前為止,邊坡穩(wěn)定性分析方法主要分為兩類:一類是基于安全系數(shù)并有著大量工程應(yīng)用實(shí)例的極限平衡法;另一類是利用計算機(jī)強(qiáng)大的計算能力來模擬大型邊坡內(nèi)部單元力學(xué)分析的數(shù)值分析法。但是這些方法還存在許多不足之處:極限平衡法對于現(xiàn)實(shí)中客觀存在的巖土參數(shù)的隨機(jī)不確定性沒法考慮在內(nèi),導(dǎo)致由于忽略這些不確定性,含有相同安全系數(shù)的邊坡卻有著差距很大的邊坡失穩(wěn)概率;數(shù)值分析法由于采用了幾何非線性迭代,導(dǎo)致時常存在收斂性問題,并且對于邊坡失穩(wěn)的判斷依據(jù)也存在許多爭議。針對這些傳統(tǒng)方法存在的一些問題如因參數(shù)或者模型的不確定性導(dǎo)致的結(jié)果不精確,本文從不確定信息處理方法中尋找出一些可以有效處理這類問題的方法。本文的主要成果如下: (1)首先回顧了各種經(jīng)典的邊坡穩(wěn)定方法以及幾種常用不確定信息處理,,并從中提煉出比較可靠的邊坡分析的模型框架與對應(yīng)的符合處理邊坡的不確定理論處理工具,為進(jìn)一步的研究應(yīng)用打下基礎(chǔ)。 (2)針對傳統(tǒng)的瑞典圓弧法取多個滑坡面安全系數(shù)最小值存在的不足,在利用隨機(jī)集對巖土參數(shù)不確定性表示的基礎(chǔ)上,通過Dempster組合規(guī)則融合多個滑坡面的安全系數(shù),得到一個綜合的更加精確的結(jié)果。 (3)由于傳統(tǒng)方法無法對強(qiáng)降雨下的邊坡穩(wěn)定性進(jìn)行定量分析,本文基于不確定理論建立邊坡穩(wěn)定性與降雨時長的隨機(jī)函數(shù)關(guān)系,并利用可傳遞信度模型將結(jié)果轉(zhuǎn)化為概率分布,得出一個新的的分析結(jié)果。 (4)針對黃河小浪底水庫典型邊坡工程進(jìn)行實(shí)地取樣,建立室內(nèi)室外研究模型,應(yīng)用不確定信息方法對其進(jìn)行分析,并用實(shí)驗(yàn)驗(yàn)證了該方法在實(shí)際邊坡工程中應(yīng)用的有效性。
[Abstract]:Slope stability analysis is always an important research content in geotechnical engineering safety. Up to now, slope stability analysis methods are mainly divided into two categories: one is the limit equilibrium method based on safety factor and has a large number of engineering applications; The other is the numerical analysis method to simulate the internal mechanical analysis of large slope by using the powerful computing power of computer. However, these methods still have many shortcomings: the limit equilibrium method can not take into account the random uncertainty of the objective geotechnical parameters in reality, which leads to the neglect of these uncertainties. The slope with the same safety factor has a wide slope instability probability, and the numerical analysis method often has convergence problem because of the geometric nonlinear iteration, and there are many controversies on the judging basis of slope instability. In view of the inaccuracy of some problems existing in these traditional methods, such as the uncertainty of parameters or models, this paper looks for some effective methods to deal with these problems from the uncertain information processing methods. The main achievements of this paper are as follows: (1) at first, various classical slope stability methods and several common uncertain information processing are reviewed. The model framework of slope analysis and the corresponding uncertain theoretical tools for slope treatment are extracted from the model. It lays a foundation for further research and application. (2) in view of the shortcomings of the traditional Swedish circular arc method in taking the minimum value of safety factor of multiple landslide surfaces, the uncertainty of geotechnical parameters is expressed on the basis of random sets. By combining the safety factors of multiple landslide surfaces with the Dempster combination rule, a more accurate result is obtained. (3) the traditional method can not quantitatively analyze the slope stability under heavy rainfall. In this paper, the stochastic function relationship between slope stability and rainfall duration is established based on uncertainty theory, and the result is transformed into probability distribution by using transferable reliability model. A new analysis result is obtained. (4) the typical slope engineering of Xiaolangdi Reservoir of the Yellow River is sampled on the spot, the indoor and outdoor research model is established, and the uncertain information method is used to analyze it. The effectiveness of this method in practical slope engineering is verified by experiments.
【學(xué)位授予單位】:杭州電子科技大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2015
【分類號】:TU43

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