Abstract
To study the deformation characteristics of reverse slope, this paper took the slope of Xiaodongcao as the research object, applied the Louvain community detection algorithm, considered the influence of reservoir water level change, and partitioned the slope deformation characteristics. The deformation characteristic zoning result was superimposed with the slope displacement cloud map and three types of geological geometric characteristic factor zoning map obtained by ArcGIS. The results show that: community detection can quickly identify the closely connected part of slope network, and the specific location of this part is affected by reservoir water. After the community detection result is superimposed with the displacement cloud map, the areas with large deformation and close connection in the slope can be identified. It is found that the community with severe deformation has at least 5% more displacement and up to 21% more displacement than that with slow deformation. In addition, the location of leader nodes can be identified, and the number of leader nodes does not exceed 20% of the total nodes in the community, and its average displacement is at least 10% more than that of ordinary nodes, up to 36%. After the community detection result is superimposed with the zoning map of slope grade, it can be concluded that the slope grade within the community with severe deformation is greater than 60°, indicating that the larger slope grade is more sensitive to the bank slope deformation.
Highlights
The toppling instability and failure of reverse slope occur frequently and on a large scale, which threatens human production and life, and causes huge economic losses and even casualties (Froude and Petley, 2018; Huang, 2012)
The results show that:Community detection can quickly identify the closely connected part of slope network, and the specific location of this part is affected by reservoir water
After the community detection result is superimposed with the zoning map of slope grade, it can be concluded that the slope grade within the community with severe deformation is greater than 60°, indicating that the larger slope grade is more sensitive to the bank slope deformation
Summary
The toppling instability and failure of reverse slope occur frequently and on a large scale, which threatens human production and life, and causes huge economic losses and even casualties (Froude and Petley, 2018; Huang, 2012). (Shishu et al, 2015) through on-site investigation and data analysis, put forward the deformation evolution mechanism of bank slope under the action of reservoir water storage, and made a preliminary judgment on the stability of toppling deformation slope by means of numerical simulation The cycle of these results is long, and the studies require researchers to have rich practical experience. In order to make up for the shortcomings of the above research works, this paper utilized the advantage of the community detection technology to quickly find the internal relationship of complex network structure, and applied it to the study of reverse slope deformation. This paper relies on specific engineering examples, utilize community detection technology, employ the actual monitoring data of bank slope, get rid of the limitations of rich practical experience and accurate simulation, and research the deformation characteristics of reverse slope.
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