Strip mine landslide risk identification method driven by spatial-temporal distribution evolution of rock mass mechanical parameters

By constructing open-pit mine borehole data and geostatistical models, combined with three-dimensional simulation using COMSOL software, the problem of landslide disasters caused by water seepage in soft rock was solved, enabling accurate identification and prediction of landslide risks in open-pit mines and improving mine safety and stability.

CN122333873APending Publication Date: 2026-07-03NORTHEASTERN UNIV CHINA
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Patent Information

Application Number
CN202610448089.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-04-07
Publication Date
2026-07-03

AI Technical Summary

Technical Problem

Existing technologies are insufficient to accurately identify catastrophic problems such as landslides and collapses caused by water seepage in soft rock strata in open-pit mines, and lack methods to integrate on-site data with slope model simulations.

Method used

By collecting core data from open-pit mine boreholes and rock samples from landslide areas, and combining geostatistical methods, a spatial distribution model of rock mass GSI was constructed. Physical parameters were measured and uniaxial compression tests were conducted to establish the weakening law of rock mechanical parameters with immersion time. A three-dimensional spatiotemporal distribution model was constructed by embedding COMSOL software, and numerical simulations were performed to verify the accuracy of the model and predict high-risk areas.

Benefits of technology

It has enabled accurate identification and prediction of landslide risks in open-pit mines, improved the mine's safety production guarantee capabilities, and effectively reduced engineering risks.

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Abstract

The invention discloses a strip mine landslide risk identification method driven by spatial and temporal distribution evolution of rock mass mechanical parameters, and relates to the technical field of rock mechanics and strip mine slope stability analysis. The method mainly comprises the following steps: constructing a rock mass quality GSI spatial distribution model according to drilling rock core data in combination with a geostatistics method; carrying out physical parameter measurement and uniaxial compression test on the rock sample in the landslide area; establishing a weakening relationship of rock mechanical parameters along with the immersion time, and calculating a degradation equation of cohesion and friction angle of the rock along with the immersion time and space coordinates according to the GSI spatial distribution model in combination with a Hoek-Brown criterion; and constructing a rock mass mechanical parameter three-dimensional space distribution model considering the immersion duration, carrying out three-dimensional numerical simulation, and analyzing the stability of the rock mass to obtain a low safety coefficient and a damage area. The technical problem that catastrophe such as landslide collapse cannot be accurately recognized due to degradation of mechanical parameters of rock mass caused by water immersion weakening of soft rock strata in an existing strip mine is solved.
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