In cold-region rock engineering, ice-filled fractures significantly weaken the mechanical properties of rock masses, which severely impacts the safety and stability of projects. To investigate the mechanical behavior and failure mechanisms of ice-filled fractured rock masses, uniaxial compression tests, acoustic emission monitoring, and discrete element numerical simulations were conducted in this study. On this basis, the mechanical properties and failure mechanisms of ice-filled fractured sandstone were systematically examined, with a focus on how fracture thickness (5–30 mm) and dip angle (0°–90°) influenced rock mass strength, elastic modulus, energy evolution, and crack propagation. The results show that compressive strength, elastic modulus, and pre- and post-peak energy all decrease non-linearly with the increase in fracture thickness, among which the elastic modulus drops by 20%–34%. The fracture dip angle was found to dominate the classification of failure modes. Vertical fractures (90°) exhibit the highest strength (23.56 MPa) due to efficient stress transfer, while low-angle fractures (15°–30°) experience a 30%–45% reduction in strength due to interface shear effects. Three failure modes were identified: ice layer crushing (α≤15°), interface slip (15°–75°), and rock main fracture (α≥75°). A micro-parameter system for the ice-rock composite medium was developed based on the PFC discrete element model, achieving over 90% agreement between simulation results and experimental data. By considering the coupling effects of fracture thickness and dip angle, the D-P strength criterion was modified, and the theoretical values deviate from experimental data by less than ±5% These findings provide theoretical support for the stability evaluation and disaster prevention in cold-region rock engineering and lay the groundwork for studying ice-rock interaction mechanisms in complex freeze-thaw environments.

The surrounding rock of roadways often contains complex joint fractures, holes of different sizes, and other internal structural characteristics, which seriously affect their stability. Indoor physical model tests are one of the main ways to study the stability of engineering rock masses. However, traditional methods struggle to produce physical models with exactly the same structures and properties, and the mechanical properties and internal structures of physical models differ considerably from those of in-situ rock masses, which greatly limits the scientific nature of physical model tests in reflecting the actual engineering roadway. In recent years, the rapid development of 3D printing technology has effectively made up for the shortcomings of traditional methods. At the level of material research and development, sand-powder 3D printing coal-rock-like materials with high similarity to natural coal-rock in mechanical behavior are successfully prepared by systematically regulating printing matrix, particle gradation, binder saturation, and glass fiber content. This progress lays a material foundation for the production of physical models. At the level of mechanism research, based on mechanical tests on anchorage bodies using such coal-rock materials, the anchorage mechanisms of supporting elements such as bolts have been systematically revealed. These tests verify the feasibility of using these materials to simulate the anchorage in natural rock masses and provide a theoretical basis for the design of supporting structure. Finally, at the level of physical model tests, researches have employed the sand-powder 3D printing technology with the layered printing process to construct physical models of anchored roadways under the conditions of both intact surrounding rock and fractured surrounding rock. The influence of cracks on the deformation and failure law of roadway is quantitatively analyzed with the aid of the biaxial loading system and the digital speckle technique (DIC). The failure modes revealed by the tests are highly consistent with the field observation results. Collectively, these studies confirm that the sand-powder 3D printing technology can achieve high-precision reconstruction with respect to material properties, internal structure, and mechanical response, effectively overcoming the shortcomings of traditional model tests and showing good application prospects and scientificity in physical simulation research of rock mass engineering.

Deep coal mining is confronted with complex geological conditions and strong engineering disturbances. The environment characterized by high geostress, high gas pressure, high geothermal temperature, and intense mining disturbance frequently induces nonlinear large deformation and catastrophic instability of surrounding rock, which seriously restricts the safe and efficient exploitation of deep geological resources. To investigate the mechanical response and energy evolution characteristics of coal and rock under deep true triaxial stress conditions, true triaxial tests were conducted on raw coal, sandstone, and composite coal-rock specimens under different intermediate principal stresses with the aid of a multifunctional true triaxial fluid-solid coupling testing system. The results show that composite coal-rock exhibits stronger plastic deformation capacity and a smaller post-peak stress drop. The dissipated energy of coal increases significantly after the peak, whereas that of sandstone accelerates during the plastic stage. The energy evolution of composite coal-rock approaches sandstone at low stress and resembles coal at high stress. For coal, the fluctuation peaks of the energy release rate (\begin{document}$ {G}_{{\mathrm{e}}} $\end{document}) and energy dissipation rate (\begin{document}$ {G}_{{\mathrm{d}}} $\end{document}) occur near the strength peak, and an increase in \begin{document}$ {\sigma }_{2} $\end{document} reduces their amplitudes. For sandstone, the fluctuation peaks appear in the yield stage, but the influence of \begin{document}$ {\sigma }_{2} $\end{document} is relatively weak. Composite coal-rock exhibits gentle but high-amplitude post-peak fluctuations, which are markedly suppressed by the increase in \begin{document}$ {\sigma }_{2} $\end{document}. Post-peak elastic energy release has a greater effect on the brittleness index than pre-peak elastic energy storage. Coal failure is mainly controlled by a single dominant crack and is weakly affected by \begin{document}$ {\sigma }_{2} $\end{document}, whereas sandstone exhibits a more complex fracture network at low \begin{document}$ {\sigma }_{2} $\end{document} and a simpler pattern at medium and high stress levels. In composite coal-rock, secondary cracks in the sandstone layer propagate along the \begin{document}$ {\sigma }_{1} $\end{document} direction, while those in the coal seam propagate along the \begin{document}$ {\sigma }_{3} $\end{document} direction. These results provide theoretical support for surrounding rock control and dynamic disaster prevention in deep resource extraction.

To investigate the instability and deformation characteristics of thick hard roofs overlying open roadways in deep mines, this study employs the sixth mining area of Dongtan Coal Mine(Yanzhou mining district)as an engineering case. A Timoshenko beam model on an elastic foundation was established to characterize roof deflection, incorporating structural and mechanical properties of thick hard strata. Analytical solutions for bending moment, shear force, and deflection were derived, revealing significant influences of roof layer position, thickness, and strength on roadway deformation-validated through numerical simulations. Key findings include: ① Roof flexural fracturing is critically controlled by thick hard roof properties. Maximum subsidence and fracture dimensions exhibit negative correlations with roof layer elevation: each 5 m elevation increase reduces subsidence by 16%-37%. Lower-layer roofs develop fractures deeper within coal walls, generating larger fractured blocks. The influence of roof thickness and strength evolves through two stages: During initial roadway development, thick hard roofs form stable, high-capacity cantilever structures where subsidence negatively correlates with thickness/strength. Subsequent intense mining triggers cantilever fracture, releasing dynamic loads that dominate roadway deformation. At this stage, thickness and strength positively influence fracture dimensions and energy release, intensifying roadway destabilization. ② Roadway deformation progresses through static load-dominated and dynamic load-expansion stages. Initially, the cantilever transfers static loads to deeper coal, expanding plastic zones. Post-fracture, the absence of immediate roof buffering allows dynamic stress waves to directly intensify surrounding rock damage. ③ Field tests demonstrate that hydraulic fracturing combined with deep-hole blasting reduces dynamic impact energy by 60%. Integrated with high-preload anchor cables and grouting, this limits roof subsidence to <300 mm. Optimizing advance rates to 3 m/day reduces high-energy seismic events by 65%. This research elucidates the mechanical mechanisms of impact-induced failure beneath thick hard roofs and proposes a targeted control strategy integrating directional roof cutting, multi-level support, and advance rate optimization. The outcomes provide theoretical and technical foundations for roadway stability control in deep mining environments under thick, hard, directly overlying strata.

As the mining depth of steeply inclined and extremely thick coal seams continuously increases, the rock burst disasters associated with them are becoming increasingly severe. The rock burst-inducing factors exhibit diversity and keep evolving, which poses difficulties to precise prevention of rock bursts. To address these issues, this paper explored the evolutionary patterns of inducing factors in a typical steeply inclined and extremely thick coal seams mine in Xinjiang by means of case analysis, field monitoring, and theoretical analysis. By analyzing five typical rock burst events in the mine, the main inducing factors were found to be steeply inclined roofs, intermediate rock pillars, remaining coal pillars, mining depth, mining intensity, and horizontal tectonic stress. Moreover, an improved analytic hierarchy process incorporating triangular fuzzy numbers was proposed to quantitatively evaluate the weights of these inducing factors and characterize their evolutionary patterns. The results disclose that steeply inclined roofs and intermediate rock pillars possess the highest weights and constitute the most significant inducing factors, and their weights keep growing with the continuous mining of coal seams. The weights of mining depth and horizontal tectonic stress generally rise with the continuous mining of coal seams, which reflects their enhanced inducing effects. In contrast, the weight of remaining coal pillars generally shows a decreasing trend, suggesting their gradually diminishing influence within the gob on rock bursts. The weight of mining intensity also decreases overall. Fianlly, the evolutionary patterns of inducing factors in steeply inclined and extremely thick coal seams were well verified through mining data analysis, microseismic monitoring, ground stress testing, numerical simulation, and theoretical research. The research results can provide support for precise control of rock bursts in steeply inclined and extremely thick coal seams.

With the escalating global demand for carbon emission reduction, CO₂ sequestration and enhanced coal-bed methane (CO₂-ECBM) has attracted widespread international attention due to its distinctive advantages in promoting the synergistic development of energy development and carbon emission reduction. This paper systematically reviewed recent advances in CO₂-ECBM research across scientific, engineering, and policy-economic dimensions. Besides, it elucidated the sequestration mechanisms governed by a synergistic suite of processes, including adsorption trapping, capillary trapping, structural trapping, solubility trapping, and mineral trapping, and further evaluated the technological maturity and economic feasibility of the technology. The results demonstrate that CO₂-ECBM technology not only effectively promotes coalbed methane recovery but also offers substantial sequestration potential and favorable geological stability. Through a comparative analysis on typical demonstration projects conducted worldwide, it is pointed out that practical applications of this technology still face challenges such as poor injectability of coal seams, permeability decline induced by CO₂ injection, insufficient assessment of long-term sequestration safety, and economic feasibility hampered by technical costs and carbon price volatility. Drawing on bibliometric analysis and hotspot evolution mapping, this study outlines the current research landscape and development trajectory, highlighting critical future priorities such as geological suitability evaluation systems for sequestration sites, high-efficiency technologies for coal seam permeability enhancement, multi-field coupled multi-scale CO₂ migration mechanisms, and intelligent monitoring and early warning systems for sequestration stability. Concurrently, it is imperative to strengthen technology integration and policy support to accelerate the commercialization and scaling of CO₂-ECBM technology. These initiatives are critical for underpinning global efforts toward achieving carbon neutrality goals.

Deep mining of coal resources is commonly accompanied by high in-situ stress and progressive energy accumulation, which can readily trigger dynamic disasters such as rock bursts. From the perspective of material toughening, elucidating the impact-mitigation mechanisms of coal-based cemented fill materials and establishing an quantitative characterization and evaluation index system for toughening based on the energy dissipation theory are emerging as promising approaches for achieving impact-mitigation control and optimizing material-oriented design. To clarify the impact-mitigation mechanisms, this study employed coal-based solid wastes as the primary constituents and systematically investigated the coupled effects of aggregate gradation, binder-to-aggregate ratio, curing age, and fiber toughening through uniaxial compression tests, energy evolution analysis, rock burst propensity assessment, and scanning electron microscopy (SEM). The results indicate that aggregate gradation, binder-to-aggregate ratio, and curing age exert significant influences on the mechanical performance of the cemented fill. The uniaxial compressive strength grows with the increase in curing age, and rises first and falls subsequently with the increases in Talbot index n and binder-to-aggregate ratio, reaching an optimum at a curing age of 28 d with n=0.6 and a binder-to-aggregate ratio of 2.5∶1. The incorporation of polypropylene fibers markedly enhances the compressive strength and improves post-peak ductility, broadens the energy-dissipation pathways, and enables sustained absorption and dissipation of externally imposed impact energy during the post-peak failure stage. Based on the energy dissipation theory, a FIMI-Lite impact-mitigation evaluation framework comprising five indices (energy dissipation ratio, dynamic toughness index, residual load-bearing ratio, brittleness index, and equivalent vibration isolation coefficient) was proposed to quantitatively characterize the impact-mitigation performance of cemented fill materials. Comparative analyses show that fiber-toughened fills outperform the conventional counterparts across all indices, with the fiber-toughened fill at n=0.4 achieving the highest comprehensive FIMI-Lite score. SEM observations reveal that an appropriate gradation promotes the formation of a dense load-bearing skeleton, whereas the incorporation of fibers conduces to constructing a three-dimensional "particle-cementitious matrix-fiber" network. The synergy of these two factors refines the pore structure, retards crack propagation, and enables stepwise energy absorption and progressive release. The above microstructural findings establish a mechanistic linkage to the macroscopic impact-mitigation performance. The proposed approach provides a scientific basis for optimizing the design of coal-based cemented fill materials and for preventing and controlling coal burst hazards in deep coal mining.

The Yushenfu mining area is characterized by shallow coal seams, thin overlying bedrock, and thick loose layers, and most mines in this mining area involve repeated mining of multiple coal seams. Affected by multiple factors such as coal seam mining height and spacing, the spatial interaction of surrounding rock in the upper and lower stopes makes it challenging to accurately predict fracture zone height. In this paper, the fracture zone height under multi-coal seam repeated mining in typical coal mines in the Yushenfu mining area was taken as the research object, and the research methods of physical similarity simulation, theoretical analysis, and deep learning were used. First, the fracture development law under multi-coal seam repeated mining was analyzed. Subsequently, a multi-factor coupling nonlinear regression model was established to describe the relationship between the fracture zone height and key parameters, including coal seam mining height, spacing, burial depth, dip angle, working face length, and interval rock strength. On this basis, the prediction method of fracture zone height under multi-coal seam repeated mining based on the SSA-BP neural network was established, and its accuracy was verified. The results indicate that the fracture development under repeated mining in Ciyaota Coal Mine exhibits a three-stage characteristic, i.e., localized slow growth, nonlinear rapid increase through interconnection, and dynamic stabilization. The ultimate height of the fracture zone reaches 139.0 m. The nonlinear regression model incorporating the coupled effects of coal seam mining height, interlayer spacing, strength of intervening rock strata, and working face length achieves an R² value of 0.880, confirming these parameters as key influencing factors for the fracture zone height. Compared to predictions from traditional empirical formulas and the BP model, the SSA-BP model demonstrates reductions in MAPE values by 22.96% and 6.70%, respectively, and attains a low RMSE of 1.79, indicating superior stability. Validation at the 14205 working face of Zhonghui Funeng Coal Mine in the Yushenfu mining area shows a relative error of 1.3% between the predicted and measured heights, well below 5%. The study demonstrates strong generalizability for predicting the height of water-conducting fracture zones under multi-coal seam repeated mining in the Yushenfu mining area and provides valuable insights for water hazard prevention and control under such mining conditions.

The 3-1 coal seam in Menkeqing Coal Mine has strong propensity for rock burst. Given the large coal seam burial depth, high mining intensity, and the presence of a thick composite sandstone roof overlying the coal seam, rock burst disasters are likely to be induced during mining of the working face. Conventional pressure relief measures targeting medium- to high-position thick and hard roofs are limited in both treatment height and range, often failing to achieve the desired pressure relief effect. In response to this problem, dominant disaster-inducing factors for rock burst were analyzed first. On this basis, roof lithology analysis, key strata theory calculation, microseismic monitoring, and strata fracture energy transfer calculation were performed to identify the dominant strata responsible for rock burst and reveal the mechanism of regional fracturing with long boreholes for pressure relief and rock burst prevention. Furthermore, the engineering practice of regional fracturing with long boreholes was conducted, and the corresponding effect analysis was carried out. The results show that the large burial depth of the working face provides sufficient foundation static load. The 3-1 coal seam and its roof and floor have the potential to generate rock burst, and the dynamic load arising from the breakage of the highly integral and continuous composite sandstone roof is the main source triggering rock burst. Regional fracturing with long boreholes was used for advanced prefracturing of the thick and hard composite sandstone roof. After the construction was completed, cracks propagated notably in fractured strata, and a remarkable prefracturing effect was achieved. During mining of the working face, the frequency, energy, and concentration of high-energy microseismic events in the fracturing area were significantly reduced, the intensity and distance of periodic weighting of the working face decreased. The engineering practice demonstrates the effectiveness of regional fracturing with long boreholes in significantly reducing the risk of rock burst disasters and ensuring safe mining of the working face. The research results can provide reference for the prevention and control of rock burst in coal mines with similar conditions.

The complex environment of mining working faces—including dust, high humidity, and smoke—causes severe feature degradation in monitoring images under varying fog concentrations. Moreover, existing dehazing models trained mainly on synthetic data exhibit domain gaps with real mining fog, limiting intelligent monitoring effectiveness and posing safety risks. This study proposes a dehazing method for working face images based on fog grading and domain differences. First, fog evaluation metrics guide image grading, enabling adaptive network selection for light and dense fog scenarios. Second, a contrastive learning strategy refines negative samples based on fog concentration, improving feature discrimination and cross-domain generalization. Finally, an unsupervised fine-tuning strategy with cyclic consistency mitigates domain bias between synthetic and real fog images without requiring annotations. Experiments show that the proposed method outperforms existing approaches on both synthetic and real datasets, supporting safe and intelligent monitoring in coal mines.