Gaussian process method and device for rapid identification of slipping karst dangerous rock stability coefficient

Abstract

The invention discloses a Gaussian process method and device for quickly identifying the stability coefficient of slipping karst dangerous rock, which mainly solves the problem of reasonable identification of the safety factor of anti-sliding stability of slipping instability and collapse type dangerous rock in karst areas. First, 14 characteristic indicators that significantly affect the stability coefficient of slippery karst dangerous rocks are selected; secondly, a machine learning sample set is established through the collection of multiple engineering examples and the calculation of the stability coefficient; then, the GPR model is trained and tested using a cross-validation strategy ; Further, input the new dangerous rock mass to be identified into the trained GPR model, and directly output the identification result with probabilistic meaning of the stability coefficient of the dangerous rock mass to be identified; finally, quantitatively evaluate the uncertainty of the identification result. The present invention can be used for rapid identification of the stability coefficients of a large number of sliding dangerous rock masses in karst areas, and is especially suitable for application by geological disaster management or technical personnel who do not have professional background knowledge and experience in calculating and analyzing the stability of dangerous rock masses.

Description

technical field [0001] The invention belongs to the technical field of geological disaster prevention and control engineering, and relates to a Gaussian process method and device for rapidly identifying the stability coefficient of a slip-type karst dangerous rock. Background technique [0002] Dangerous rock is a geological body that is cut and separated by multiple groups of structural planes, has poor stability, and may collapse in the form of dumping, falling, and slippage. Sliding dangerous rock is a dangerous rock mass on a steep slope that slides out of the slope along the structural surface outside the inclined slope under the action of gravity and other factors, produces vertical movement, and finally accumulates at the foot of the slope. [0003] The karst areas in my country are very widely distributed, and the distribution area of ​​carbonate rocks in the country is about 1.3 million km2. 2 , the karst area in the southwest region accounts for more than one thir...

AI Technical Summary

Problems solved by technology

However, the mechanism of the collapse and instability of slipping karst dangerous rocks is very complicated, and there are many influencing factors. The stability coefficient of slipping karst dangerous rocks has a highly complex nonlinear relationship with the influencing factors. Generally, complex mechanical models or numerical calculation methods are required to obtain it, and the implementers need to have sufficient professional knowledge background and rich experience. As a result, when the stability coefficient of a large number of dangerous rock masses needs to be determined, the labor cost required is high and the calculation efficiency is high. It is not high, and it is difficult to meet the practical requirements of slope engineering in which a large number of dangerous rock masses involved in large-scale traffic projects need to be quickly and economically designed and evaluated in the preliminary design stage

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