基于逆可靠度理論的邊坡穩(wěn)定分析方法研究
[Abstract]:Slope engineering is one of the classical research fields in geotechnical engineering. The object of slope engineering is the rock and soil mass which has undergone a long geological history for hundreds of millions of years. The factors such as its occurrence environment, composition, physical and mechanical characteristics are uncertain in varying degrees. The safety factor or reliability index is often used to characterize the failure. But the safety factor focuses on revealing the relative quantitative relationship between the average resistance and the average load, and the reliability index indicates that there is a probability of passive failure risk under given conditions. Risk is impossible, the key point is to make clear the influence degree of the relevant factors on the risk, according to the pertinent method, through the corresponding design analysis, to make reasonable engineering treatment measures to indicate the direction, and actively control the risk within the acceptable range. In this paper, a series of research work will be carried out on the basis of the existing slope stability analysis methods and the characteristics of slope engineering, and a new method of slope stability assessment based on the concept of risk active control will be established.
Firstly, according to the two failure modes of sliding along regular sliding surface and arbitrary sliding surface in slope failure, Bishop model and simple distribution model are selected as representative from the limit equilibrium theory system of slope. Based on the risk control concept, the inverse reliability algorithm of slope stability is deduced by using the principle of primary inverse reliability, and two kinds of inverse reliability algorithms are derived. A framework of inverse reliability analysis method for slope stability with double control indexes of reliability and safety factor is developed. The method is based on the pre-acceptable failure risk (target reliability index) to design various parameters affecting slope stability so as to achieve reliability. The standard and stability coefficient correspond to each other, so as to achieve the purpose of active control of slope failure risk.
Secondly, the non-deterministic description of geotechnical parameters and the functional expression of slope stability state determine the practicability of inverse reliability design and analysis method and the validity of calculation results. Many parameters affecting slope stability are often manifested as random, interval, grey and other diversified phenomena in uncertain characteristics. For the non-uniformity of the influence degree of each parameter on the stability state of the slope, the grey relational theory is embedded into the interval analysis model to solve the interval correlation degree between each factor and the response value, and the relative degree is combined by establishing the method of extracting test samples based on the uniform design which is full of space, multi-level and robustness. The dominance degree theory ranks the interval correlation degree and constructs a comprehensive evaluation method for the significance of the influencing factors of slope stability based on the uncertainty theory. The practicability of the control evaluation method is prepared accordingly.
Combining with the actual engineering characteristics of the different distribution patterns of slope parameters and the correlation between parameters, this paper proceeds with the construction conditions of the response surface function model, and then proceeds to carry on the thorough research and discussion. The response surface function model is fitted by independent normalized parameters, and the response surface model constructed by this method can be applied to the diversity of parameter distribution forms and the correlation characteristics between parameters in practical slope engineering. Finally, the response surface model and the first-order inverse reliability theory are combined to construct a more reasonable and effective response surface model. Active risk assessment method for slope instability risk.
Thirdly, in order to further improve and enrich the research content of active control and evaluation method of slope instability risk, and to improve the applicability of response surface modeling method in dealing with implicit function of slope engineering, the function expression form of response surface model is considered comprehensively considering the characteristics of complex and highly nonlinear function of slope engineering limit state. In response surface model selection, the Kriging proxy model which is more rigorous in theory, more flexible in operation and more effective in dealing with complex nonlinear problems is adopted in view of the limitation of the application scope of the polynomial model. A more adaptable Latin hypercube test design method is combined with an active learning method with active search for the best training samples. The integration of the above response surface model and sampling method will establish a more perfect inverse reliability response surface technique for slope stability, which will widen the risk assessment of failure of complex implicit function of slope. The applicable scope of the method.
Finally, a set of comparatively perfect identification method of slope stability influencing factors under different conditions and assessment method of Instability Risk active control are used to guide the stability analysis and design of a large number of slopes along the mountain expressway-Tongping expressway connecting northern Hunan and Eastern Hubei. The results provide a practical and effective treatment scheme for the slope along the Tongping Expressway, and verify the rationality and applicability of the proposed method.
【學(xué)位授予單位】:湖南大學(xué)
【學(xué)位級別】:博士
【學(xué)位授予年份】:2014
【分類號】:TU43
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