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An adaptive methodology for rock mass fracture image enhancement with generalized gamma correction
Rock fractures are an important indicator for assessing the quality of rock masses. The significant differences in the color and texture...
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Evaluation of machine learning methods for rock mass classification
Solutions in geotechnics have been optimizing with the aid of machine learning methods. The aim of this paper is to apply different machine learning...
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Visual perception system design for rock breaking robot based on multi-sensor fusion
In recent years, mining automation has received significant attention as a critical focus area. Rock breaking robots are commonly used equipment in...
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An interpretable evolutionary extreme gradient boosting algorithm for rock slope stability assessment
Globally, slope failures cause severe disasters and substantial financial losses annually. Recent advancements in machine learning (ML) algorithms...
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A novel TS Fuzzy-GMDH model optimized by PSO to determine the deformation values of rock material
Since determining the rock deformation directly in the laboratory is costly and time consuming, it is important to reliably determine/estimate this...
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Novel approach to evaluate rock mass fragmentation in block caving using unascertained measurement model and information entropy with flexible credible identification criterion
In recent years, block caving has drawn the attention of many mine enterprises due to the admired extraction rate and lower cost, which can exploit...
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Attention based deep neural network for micro-fracture extraction of sequential coal rock CT images
The extraction and analysis of fractures from sequential coal rock Computed Tomography images play an important guiding role in development of...
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Rock-Climbing Fish Inspired Skeleton-Embedded Rigid-Flexible Coupling Suction Disc Design for Adhesion Enhancement
Underwater high-performance biological adhesion systems have attracted increasing research interest to inspire engineered adhesion systems....
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ViRFD: a virtual-realistic fused dataset for rock size analysis in TBM construction
In TBM (Tunnel Boring Machine) construction process, the rock size analysis system plays an important role in assisting driving. Its core algorithm...
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Application of various robust techniques to study and evaluate the role of effective parameters on rock fragmentation
In this paper, an attempt has been made to implement various robust techniques to predict rock fragmentation due to blasting in open pit mines using...
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Lithological Classification Based on Large-Scale Pixel Neighborhood and VGGnet-Based Transfer Learning
Remote sensing technology can provide a powerful technical reference for different geological prospecting work. It is an effective method to quickly...
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Rock segmentation visual system for assisting driving in TBM construction
The tunnel boring machine (TBM) is a key equipment for excavating long-range tunnels. It is a complex system and hard to be controlled well in...
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A precise neuro-fuzzy model enhanced by artificial bee colony techniques for assessment of rock brittleness index
When planning rock-based projects, the brittleness index (BI) may play a significant role in the success of various projects, such as tunnel boring...
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Automatic Extraction of Joint Orientations in Rock Mass Using PointNet and DBSCAN
Measurement of joint orientation is an essential task for rock mass discontinuity characterization. This work presents a methodology for automatic...
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Efficient and automatic plane detection approach for 3-D rock mass point clouds
The detection of planar regions from three-dimensional (3-D) laser scanning point clouds has become more and more significant in many scientific...
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Develo** a hybrid model of information entropy and unascertained measurement theory for evaluation of the excavatability in rock mass
In geotechnical engineering, excavation process is affected by many factors, so that the evaluation of the excavatability is a difficult task in the...
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A multipoint flux mixed finite element method with mass-conservative characteristic finite element method for incompressible miscible displacement problem
In this paper, we consider a decoupled and mass-conservative numerical scheme for the incompressible miscible displacement problem in porous media by...
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Optimization of Rock Bolt and Concrete Lining Combination: A Case of AKH Railway Tunnel Project
Concrete lining and rock bolts are usually provided to support excavated tunnels on different ground conditions. These two support systems are worthy...
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Development of artificial neural network based mathematical models for predicting small scale quarry powder factor for efficient fragmentation coupled with uniformity index model
Blasting is the primary method for reducing rock size in small-scale mining operations. The primary purpose of blasting is to assist rock mass...
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A new auto-tuning model for predicting the rock fragmentation: a cat swarm optimization algorithm
The main focus of the present work is to offer an auto-tuning model, called cat swarm optimization (CSO), to predict rock fragmentation. This...
