Motive power monitoring and warning method of rock mass landslide

Abstract

The invention relates to a method of detecting stability of a rock mass side slope and warning and forecasting instability of the side slope by adopting motive power increment displacement response ratio parameters. A motive power monitoring and warning method of rock mass landslide includes the following steps: (1) ensuring side slope geometric elements to be detected, mapping of a sliding surface and self weight of a landslide body, (2) designing and arranging side slope downward sliding motive power and displacement monitoring points, (3) monitoring and ensuring the side slope downward sliding motive power and downward sliding displacement response, (4) ensuring side slope downward sliding motive power loading rate parameters, (5) ensuring side slope downward sliding displacement response rate parameters, (6) ensuring landslide motive power increment displacement response rate parameters, (7) ensuring a landslide stability motive power increment displacement response rate criterion, and (8) monitoring side slope stability and monitoring and early warning. Stability coefficients of a limit equilibrium method are organically coupled with a displacement timing sequence analytic method and characteristics of displacement predictive parameters, and limitations of a traditional method are overcome.

Description

technical field [0001] The invention belongs to the technical field of rock mass slope stability detection and landslide disaster monitoring and early warning, and particularly relates to a method for detecting rock mass slope stability and early warning and predicting slope instability by using dynamic incremental displacement response ratio parameters. Background technique [0002] The prediction of slope instability is an important technical problem in the field of geological disaster monitoring, early warning and prevention. Among them, the core of slope instability prediction is the prediction method and prediction criterion. From the current situation of slope stability research at home and abroad, it can be seen that among various prediction methods and detection, early warning and prediction models of slope stability, the detection method of limit equilibrium mechanics, the theory of displacement time series prediction and the monitoring method of slope sliding dynami...

AI Technical Summary

Problems solved by technology

Although this method can directly obtain the internal dynamic changes of the slope, the internal dynamics of the landslide are complex and changeable, and it is difficult to use a single dynamic monitoring to predict the slope under study. Moreover, landslides of different types and scales have different critical sliding dynamics. Therefore, there is a lack of clear instability dynamic criteria, which can easily lead to misjudgment and misjudgment of landslide stability

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