China University of Mining and Technology

Numerical Study on the Tensile Strength and Failure Characteristics of Coal Mass with Pressure Relief Drilling

Abstract Pressure relief drilling is an effective measure for rockburst prevention and control. However, the tensile behaviors of the coal and rock mass with boreholes are prominently changed. Therefore, the significance of tensile loading condition on the mechanical properties o...

Waveform-preserving source-independent wave-equation-based local-scale traveltime inversion: Application to the SEG Chevron 2014 blind test dataset

Summary Full Waveform Inversion (FWI) leverages the amplitude and phase of full wavefield seismic data to obtain high-resolution subsurface structures by minimizing an objective function. However, FWI encounters severe cycle-skipping issues when the seismic data lack low-frequenc...

Semi-invisible hyperon decays in the effective Lagrangian approach

Abstract We systematically investigate the semi-invisible decays of hyperons (hyperon $$\rightarrow \pi (/\gamma )\ +$$ → π ( / γ ) + invisible( $$\psi $$ ψ )) in the Mesogenesis mechanism by the effective Lagrangian approach. The one-loop hadronic contribution of triangle diagra...

Intelligent Safety Assessment of Island Longwall Roadway Integrating Asymmetric Physical Features and Cost-Sensitive Learning

Roadways serving island longwall panels are highly susceptible to severe asymmetric deformation under extreme eccentric loading from multiple adjacent goafs. To address the difficulties in characterizing the surrounding rock load imbalance and the high false-negative rates of con...

A Predictive Strength Model for Cu/Ni Nanolayered Composites with FCC Interfacial Layers Under Loading Parallel to the Interface

Nanolayered metallic composites exhibit ultra-high strength but suffer from inadequate ductility. Constructing interfacial layers becomes an effective strategy to enhance their strength and ductility. However, extensive experimental studies have focused on the strengthening and t...

Reliability-Aware Adaptive Model Predictive Control of Full-Vehicle Active Suspension via TD3 Weight Regulation and Posture Feedback

Full-vehicle active suspension control requires coordinated regulation of ride comfort, body posture, suspension travel, tire road holding, and control effort. To improve the adaptability of fixed-weight MPC while retaining model-based interpretability, this paper proposes a TD3-...

Structural Parameter Optimization of a Downward Air Duct Dust Collector Based on Flow Field Uniformity Analysis: CFD-DPM Approach

Abstract The issue of dust pollution in mine roadways and tunnel excavation operations has become increasingly severe. This study systematically investigates, for the first time, to the best of our knowledge, the influence mechanisms of partition plates and tube sheet structures...

Sustainable Development of Critical Minerals for New Energy Batteries for the Renewable Energy Transition in China

As critical minerals required for the production of new energy batteries, the demand forecasts and trends for Li, Co, Ni, and Mn are of crucial importance for ensuring the energy transition and China’s sustainable development. This study has developed a comprehensive analytical f...

AFF-net: adaptive feature fusion network for efficient medical image segmentation

Medical image segmentation is essential for clinical diagnosis and treatment. Existing convolution and self-attention-based segmentation methods suffer from heavy computational overhead, while complex lesion morphology and blurred anatomical boundaries further degrade segmentatio...

The Preparation and Performance of Dual‐Resin‐Based Composite Superhydrophobic Coatings

ABSTRACT A functionally complementary dual‐resin strategy was developed to regulate wettability and mechanical durability in superhydrophobic coatings. High‐impact polystyrene (HIPS) and organic silicone resin (OSR) formed the composite matrix, and coatings with different HIPS/OS...

Deep Network Reparameterized Full‐Waveform Inversion From Sequential to Simultaneous Sources With Adjoint‐State Method

Abstract Full‐waveform inversion (FWI) relies on sequential‐source (SQ) workflows for high imaging precision, while simultaneous‐source (SML) encoding drastically accelerates computation but introduces irreversible wavenumber discontinuity artifacts in hybrid‐domain implementatio...

Long-term mapping of aboveground carbon storage in China (2000−2020) using a prior-knowledge-constrained deep learning model

Terrestrial ecosystems play a critical role in mitigating climate change by sequestering atmospheric carbon dioxide (CO₂), with aboveground carbon storage (AGC) serving as a key indicator of ecosystem carbon sink capacity. However, existing AGC estimation approaches remain constr...

Fault diagnosis of rotating machinery bearings under strong noise backgrounds using refined composite wavelet packet fuzzy diversity entropy

In recent years, multiscale fuzzy diversity entropy (MFDE) has been demonstrated as a highly promising feature extraction tool for intelligent fault diagnosis. Compared to existing entropy methods, MFDE offers the advantages of high consistency, strong robustness, and excellent c...

Institutional compression in climate policy integration: coordinating green electricity certificates and carbon emissions trading in China

Coordinating market-based climate instruments is a central challenge for climate policy, yet the institutional mechanisms through which centralized governance systems pursue such integration remain insufficiently understood. This study examines how China coordinates Green Electri...

Intelligent prediction of diesel engine dynamic performance and emissions via multi-signal fusion and Bayesian optimization

An intelligent prediction framework integrating multi-signal feature learning and Bayesian optimization is proposed to address the strong nonlinearity, multivariable coupling, and dynamic evolution of diesel engine performance and emissions under transient operating conditions. A...

Characterization of the Topological Structure of the Asphalt Mixture Skeleton Main Force Chain Based on the Complex Network Theory and Discrete Element Method

Abstract The main force chain (MFC) serves as an important tool for analyzing the effective load transfer capacity within the skeleton of asphalt mixture. However, existing studies have not adequately considered the interactions among different MFCs, meaning that the effective tr...

Developmental trajectories and associated factors of cardiovascular disease risk among chinese miners: a 5-year prospective cohort study

To examine temporal patterns in cardiovascular disease (CVD) risk among miners, identify distinct latent trajectory classes, and evaluate factors associated with trajectory membership. We analyzed data from a miner health cohort in Huaibei, Anhui Province, China. Of 4,560 miners...

THGCDTR-RP: A triple-hybrid swarm intelligence and tree-based routing protocol for energy-efficient wireless sensor networks

Wireless Sensor Networks (WSNs) are widely used in environmental monitoring, smart agriculture, and Internet of Things applications, but their performance is constrained by limited battery capacity, uneven energy consumption, and inefficient routing. To address these issues, this...

Lightweight structure-aware detection of coal and gangue under complex operating conditions

Accurate coal-gangue detection under complex operating conditions is crucial for reliable online perception in underground coal handling. To address degraded imaging, dense stacking, adhesion, and occlusion, this study proposes a lightweight structure-aware detector, LCGA-YOLO11,...

Effects of triply periodic minimal surface porous media structures on combustion and heat transfer characteristics of low-concentration methane

Porous medium burners can improve the combustion efficiency of low concentration methane, promote the utilization of low grade energy sources, and reduce greenhouse gas emissions. As a new type of porous medium, it is of great significance to investigate the effects of different...