Abstract
The analysis methods and theories of slope stability are constantly improving and developing, and more methods in line with the development characteristics of the times have been put forward by scholars at home and abroad. Combined with the latest research hot spots in the direction of analysis methods of slope stability in the world, the analysis methods of slope stability are systematically classified and summarized; The principles, characteristics, scope of application of various methods are summarized; The development trend of slope stability analysis is comprehensively analyzed from various aspects. It provides the follow-up scholars with the research of new methods. It can provide reference for the selection of evaluation methods of practical slope engineering stability.
Highlights
According to the common habits of classification, these traditional methods can be roughly divided into qualitative analysis methods, quantitative analysis methods and uncertainty analysis methods[1]
The advantage of qualitative analysis method is that it comprehensively considers all kinds of factors affecting the slope stability, and can quickly get the preliminary judgment of slope stability; the disadvantage is that it mainly depends on experience, and can only qualitatively analyze the development trend of slope stability to be studied
1) The analysis methods of slope stability are comprehensively and systematically sorted out in this paper, which are mainly divided into qualitative analysis method, quantitative analysis method, uncertainty analysis method and machine learning method
Summary
According to the common habits of classification, these traditional methods can be roughly divided into qualitative analysis methods, quantitative analysis methods and uncertainty analysis methods[1]. With the rapid development of science and technology, the theory and method of slope stability analysis have been constantly developed and improved. Based on the latest research hot spot of the analysis methods of slope stability of international researchers [2], we adds machine learning methods on the basis of traditional classification
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