To effectively mitigate the hazards posed by blast waves of rock mass caving on closed walls during mining process, a stability prediction method based random forest (RF) algorithm is proposed, which designed to automatically identify key parameters. A machine learning model developed using algorithm, and its performance evaluated through accuracy, precision, recall, F1-score metrics. The probabilistic objective function constructed grid search hyperparameter optimization method, allowing...

Curtain grouting technology provides a new way to solve the mine water damage and series of environmental problems caused by drainage. However, inherent challenge lies in concealed nature grout injection within subsurface formations, complicating direct observation assessment distribution. The diffusion mechanism fractured rock masses is crucial efficacy for sealing purposes. Current research predominantly focuses on single or simplified two-dimensional intersecting fractures, neglecting...

Abstract This study aimed to investigate the formation mechanism of mud-inclusion-type underground debris flows natural caving mines. The characteristics fine moraine particles flowing through coarse-grained ore bed were used analyze process mud inclusions in a physical model test. Based on movement behavior bed, formation-mechanism generalized with was established. examine caving. results showed that had good cross-flow drawing ore. accumulation prerequisite for inclusions, and fluid formed...

Due to the impacts on ecological environment, production safety and economic benefits of large open-pit water deposits, there is no longer a single drainage method within pit that can be used meet need for further deep mining. Therefore, curtain grouting technology proposed use in prevention control mine water. The flow equation slurry vertical fissures under influence self-weight stress was derived, three-dimensional visualized laminated jointed rock model developed independently study...

The shear factor of ore drawing is an important affecting the formation underground debris flows. aim this study was to investigate effect mining on flows in natural caving. research background flow Plan copper mine, and we analyzed characteristics slurry material structure flow, as well influence ore-drawing mechanism flow. results showed that mine both a pseudoplastic thixotropic fluid. Shearing force induced deforms decreases its viscosity with increase rate time. produced by particles...

Backfilling is commonly used in underground mines to improve the stability of overlying strata. The performance backfill and its interaction with surrounding rock are key issues mining research. In this paper, displacement stress field evolution characteristics strata were analyzed by a physical model, as well between rock. research results show that when employed, mass unexcavated jointly bear loads transferred dense near-field area increases stabilizes gradually. improves distribution...

Underground mining in Karst Plateau landform area may cause the loss of support for upper rock stratum, resulting collapse and large-scale subsidence ground surface. Also, formation a goafs further lead to geo-hazards such as collapse, water gushing, slope instability so on area. To reduce impact goaf settlement local strata stability, this paper established standardized safe detection model based geological safety characteristics goafs. With reference statistical analysis conditions area,...

<title>Abstract</title> The key to successfully treating water disasters with grouting is the diffusion range and grout's ultimate efficient retention in cracks; gel qualities of grout are crucial this process plugging. In earlier research, time-varying viscosity was given more attention than yield stress, which also subject variation that must pass through migrate. Groundwater migrates stores interlayer opening fissure vertical connecting stratified jointed physical chemical rock mass....

The accurate prediction of roof stress in mined-out areas is crucial for ensuring mine safety. However, existing study methods often overlook the increasingly available image data and fail to balance model predictive capability with interpretability. To address these issues, this innovatively integrates 3D laser scanning features into areas. Image are extracted using pre-trained deep-learning models combined traditional geological parameters construct multiple machine-learning prediction....