Definition and classification of rockburst
July 2025
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...
Application of artificial intelligence in three aspects of landslide risk assessment: A comprehensive review
October 2024
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...
Characteristics and identification of granite rockburst under true triaxial loading-unloading with different initial stresses based on a DEM two-stage structural model
October 2026
This study employed a two-stage structural model based on the discrete element method (DEM) to simulate granite rockbursts under true triaxial loading-unloading. By refining the determination method...
A review of previous studies on the applications of fiber optic sensing technologies in geotechnical monitoring
January 2023
Geotechnical engineering is characterized by many uncertainties, including soil material properties, environmental effects, and engineering design and construction, which bring a significant challenge...
Experimental and Systematic Prediction of Compaction Characteristics of Cement-Stabilized Mine Wastes
Available online 20 May 2026
This study investigates the reuse of mining waste tailings in geotechnical engineering as sustainable stabilizing materials when combined with cement. Two types of tailings—limestone and phosphate limestone—were...
Engineering challenges of deep-buried tunneling in the Alps and Himalayas
July 2026
The Himalayas and Alps, both shaped by Tethys Suture Zone evolution, manifest fundamentally different mechanical features throughout their geological development. Over the past century, the Alps have...
Integration of image and dipole sonic logs for identification of natural fractures and stress-induced anisotropy in Asmari reservoir (A case study, SW Iran)
April 2026
Borehole sonic dispersion analysis is a technique that provides valuable insights into the realm of borehole sonic interpretation. This research involves an analysis of shear-wave anisotropy and ultrasonic...
Mechanical properties and microstructure characteristics of vacuum sintered lunar simulant using nanoindentation
October 2026
To meet the requirements of lunar base construction and in-situ resource utilization (ISRU), this study applies multiple characterization techniques to examine the microstructure, mineral composition,...
Current status of the geological disposal programme and an overview of the safety case at the pre-siting stage in Japan
July 2023
In Japan, high-level radioactive waste and specific low-level radioactive waste which includes long-lived radionuclides are planned to be disposed of in the geological formations at depths greater than...
Recent advancements for cement grout diffusion mechanisms within rock fractures
April 2026
Understanding cement grout diffusion in rock fractures is crucial for rock engineering, yet grouting faces significant challenges due to fracture network heterogeneity and grout's complex non-Newtonian...
Artificial Intelligence for Highway Geological Hazards Prediction and Prevention: Advances, Challenges and Future Directions
Available online 12 June 2026
Highways are critical transportation infrastructures that play a vital role in economic development and regional connectivity. However, frequent geological hazards pose significant threats to highway...
Computational Intelligence for Blast-Induced Backbreak Prediction in High-Stress Mining Environments
Available online 11 December 2025
Ensuring the stability of mine walls and floors is essential for maintaining pit safety and maximizing productivity. One of the key challenges in surface mining is predicting blast-induced backbreak,...
Deep learning-powered rock mass classification: Predicting RMR from Q-system parameters with high accuracy
October 2025
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...
A TabPFN-Based Framework for Slope Stability Analysis Using Geometric Features and Shear Strength Parameters
Available online 4 March 2026
Achieving efficient and accurate assessment of slope stability at a regional scale remains a significant research challenge. This is largely due to the complexity of geological conditions and the limited...
TBM penetration rate estimation using Rock Mass Rating (RMR) and machine specifications
July 2026
Rock mass classification systems, such as the Rock Mass Rating (RMR), are widely used to estimate tunnel boring machine (TBM) performance because RMR is relatively easy to apply and the system accounts...
Study on phase-transition-like characteristics and volume expansion model of weakly consolidated sandstone under triaxial cyclic loading and unloading
October 2026
In order to study the phase transformation characteristics and dilatation-related changes of weakly consolidated sandstones with different cementation degrees, the cyclic loading and unloading experiments...
Prediction of uniaxial compressive strength of rock based on lithology using stacking models
October 2023
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...
From CT scans to surface metrics: A novel workflow for rock fracture roughness evaluation at sample scale
October 2026
This study presents a robust deep learning-based workflow for fracture segmentation and subsequent Joint Roughness Coefficient computation from X-ray computed tomography data. The core of the approach...
Numerical study on the hydro-mechanical behaviour of swelling rocks in long-term floor stability
Available online 22 May 2026
Rock swelling induced by clay minerals causes volumetric expansion and triggers excessive floor heave, thereby compromising tunnel stability. Predicting long-term floor stability is challenging due...
Intelligent early-warning platform for open-pit mining: Current status and prospects
January 2024
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...
Disposal of high-level radioactive waste in crystalline rock: On coupled processes and site development
July 2023
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...
Simultaneous propagation of multiple hydraulic fractures in crystalline rock: A numerical investigation based on coupled fluid-solid discrete element framework
July 2026
The simultaneous multiple hydraulic fracturing treatment has been extensively employed in Enhanced geothermal systems (EGS) to increase the complexity and area of artificial fractures. However, the...
Investigation of nanoindentation for evaluating the cyclic loading-unloading mechanical properties of heterogeneous coal
July 2026
Exploring the meso-mechanical response of heterogeneous coal is crucial for understanding its macro mechanical behavior in coal mining, CO2 storage, and coal bed methane production. However, a key gap...
Insights of microstructures and lithofacies on fracture process zone of organic-rich shale
July 2026
The fracture process zone (FPZ) plays a critical role in determining the mechanical properties of shale,as a quasi-brittle material. In this study, the effects of microstructure on fracture process...
Hybrid XGBoost - 3D FEA approach for predicitng bearing capacity of rectangular foundations on rock slopes
July 2026
This study investigates the bearing capacity of a sloping rock foundation beneath rectangular and, in particular, square footings. Additionally, the study proposes a novel hybrid machine learning approach,...
