不确定信息处理方法在边坡稳定性分析中的应用
[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.
【学位授予单位】:杭州电子科技大学
【学位级别】:硕士
【学位授予年份】:2015
【分类号】:TU43
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