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ISSN: 2773-2304
CN: 10-1987/O3
p-ISSN: 2097-4671

Application of artificial intelligence in three aspects of landslide risk assessment: A comprehensive review

Landslides are one of the geological disasters with wide distribution, high impact and serious damage around the world. Landslide risk assessment can help us know the risk of landslides occurring, which...

Definition and classification of rockburst

The rockburst is a violent failure in rock during mining and tunneling operations. Since tunnel constructions for hydropower and transportation purposes and mining operations in deep rock masses have...

Deep learning-powered rock mass classification: Predicting RMR from Q-system parameters with high accuracy

Reliable stability assessment requires an objective and precise assessment of the rock mass quality classification. A deep learning model is developed to create a tool that can provide a rapid and precise...

The effect of geometrical parameters on wedge failure of rock slopes using physical and numerical modelling

This study investigated the role of the geometrical parameters of a wedge block on its stability using physical and numerical modeling. For the purpose of physical modeling, a new experimental setup...

A review of previous studies on the applications of fiber optic sensing technologies in geotechnical monitoring

Geotechnical engineering is characterized by many uncertainties, including soil material properties, environmental effects, and engineering design and construction, which bring a significant challenge...

Rockburst prediction using artificial intelligence techniques: A review

Rockburst is a phenomenon where sudden, catastrophic failure of the rock mass occurs in underground deep regions or areas with high tectonic stress during the excavation process. Rockburst disasters...

Exploring machine learning techniques for open stope stability prediction: A comparative study and feature importance analysis

The stability of underground excavations is essential for ensuring the safety of mining operations. Classical stability assessment methods, established in empirical formulas and rock mass classification...

Intelligent early-warning platform for open-pit mining: Current status and prospects

As the profundity of open-pit mining operations has increased, so has the frequency of geological disasters. The complex interaction of factors causing these disasters presents technical challenges...

The phlogiston theory of rock mass classification: Philosophical and mathematical critique of ordinal data usage

The widespread use of rock mass classification systems in engineering practice relies on mathematical operations and assumptions that violate fundamental principles of measurement theory. This paper...

A green coal mining method for protecting roadways and overlying strata

The non-pillar mining method with automatically formed roadway (NPM-AFR) is an innovative mining method. This paper provides a detailed description of how this method achieves the cancellation of pillar...

Coupling effect of temperature and confining pressure on fracture toughness of transversely isotropic shale: Insights from a thermal-mechanical DEM model

The coupling effect of temperature and confining pressure on fracture toughness is a critical issue in deep shale gas development that cannot be overlooked. Field and laboratory studies have shown that...

Data-driven machine learning approaches for simultaneous prediction of peak particle velocity and frequency induced by rock blasting in mining

The vibrations generated by rock blasting are a serious and hazardous outcome of these activities, causing harmful effects on the surrounding environment as well as the nearby residents. Both the local...

Prediction of uniaxial compressive strength of rock based on lithology using stacking models

Uniaxial compressive strength (UCS) of rock is an essential parameter in geotechnical engineering. Point load strength (PLS), P-wave velocity, and Schmidt hammer rebound number (SH) are more easily...

Data-driven machine learning approaches for predicting the shear strength of rock joints

Accurate prediction of the shear strength of rock joints is crucial for assessing the stability of civil and mining engineering projects. Traditional methods for determining the shear strength of rock...

The effects of staggered and non-staggered joints on the ultimate bearing capacity, load settlement behavior, and failure mechanism with the change of excavation depths

Extensive research is available on excavation walls in soils. However, very few studies address their performance in rocks and jointed rock masses. This study aimed to investigate the effect of staggered...

Prediction of blast-induced ground vibration in dolomitic marble quarry using Z-number information and fuzzy cognitive map based neural network models

Blast-induced ground vibration (BIGV) is one of the detrimental environmental consequences of blasting operations in mining and civil engineering. Hence, accurate prediction of BIGV is highly imperative....

Forecasting maximum magnitude of fluid-induced earthquakes: Bridging statistical extrapolation and physics-based forecasting

The forecasing of maximum magnitude (Mmax) for fluid-induced seismicity is a critical challenge in risk management for geothermal energy development, unconventional hydrocarbon extraction, and wastewater...

Research on narrow coal pillar width optimization and surround rock control in Shiquan mine

To address the issue of severe coal resource waste and substantial deformation of the surrounding rock caused by the retention of coal pillars for protective lanes during the excavation along the void...

Enhancing production rates at El Teniente's black cave mine through optimizing HF hole distribution using discrete fracture network modeling and geostatistical simulation methods

This study at the Esmeralda Mine, part of the El Teniente Division of CODELCO, investigates optimizing hydraulic fracturing (HF) holes’ spatial distribution to improve rock material production in one...

The influence of faults on adjacent rock mechanical behavior and acoustic emission characteristics: A case study of the xianshuihe fault zone

Tensile strength is a crucial parameter for assessing rock stability and fracture characteristics, which play a significant role in the prediction and engineering design of geohazards. However, fault...

Prediction of rock fracture pressure in hydraulic fracturing with interpretable machine learning and mechanical specific energy theory

Hydraulic fracturing stimulation technology is essential in the oil and gas industry. However, current techniques for predicting rock fracture pressure in hydraulic fracturing face significant challenges...

Theoretical and numerical investigation of the effects of in-situ stresses and dual-borehole combinations in eccentric decoupled charge blasting

Eccentric decoupled charge (EDC) blasting is a widely used technique for rock fragmentation and tunnel excavation, yet the underlying rock damage mechanisms, particularly in relation to in-situ stresses...

Cemented soil-soil interface shear strength evaluation I: Size effect and characteristic experimental size quantization

The shear strength of cemented soil-soil interface is affected by the size effect of experimental sample. With the advancing density of urban underground space and the wide application of grouting reinforcement...

Experimental study on the mechanical properties of 1G-NPR cable anchored rock with AE-DIC method

The study investigates the mechanical properties of 1G-NPR (Negative Poisson's Ratio) cable-anchored sandstone under uniaxial compression, employing Acoustic Emission (AE) and Digital Image Correlation...

Disposal of high-level radioactive waste in crystalline rock: On coupled processes and site development

Safe disposal of high-level radioactive nuclear waste (HLW) is crucial for human health and the environment, as well as for sustainable development. Deep geological disposal in sparsely fractured crystalline...

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