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Articles 1651 - 1680 of 291673

Full-Text Articles in Physical Sciences and Mathematics

Advances In Regional Fracturing Technology Using Underground Long Directional Boreholes For The Prevention And Control Of Coal-Rock Dynamic Disasters And Its Engineering Practices, Zheng Kaige, Zhang Jian, Sun Siqing, Chen Dongdong, Zhang Qun, Li Bingang, Guo Wei, Liu Le, Jia Bingyi, Wang Zeyang, Dai Nan, Wang Haojie Jun 2026

Advances In Regional Fracturing Technology Using Underground Long Directional Boreholes For The Prevention And Control Of Coal-Rock Dynamic Disasters And Its Engineering Practices, Zheng Kaige, Zhang Jian, Sun Siqing, Chen Dongdong, Zhang Qun, Li Bingang, Guo Wei, Liu Le, Jia Bingyi, Wang Zeyang, Dai Nan, Wang Haojie

Coal Geology & Exploration

Objective Coal-rock dynamic disasters represent a key challenge to the safe and efficient mining of deep coals, rendering it urgent to develop regional, advance, and precise technologies for proactive disaster prevention and control. Advances The regional fracturing technology using underground long directional boreholes for disaster prevention and control in coal mines originated from ground fracturing. To date, a regional fracturing theory oriented to geological origin, mining responses, and disaster-causing mechanisms has been developed. Furthermore, a core equipment system incorporating high-power directional drilling rigs, variable frequency fracturing pump sets with high injection rates of fracturing fluids, infinite stage fracturing, and tools …

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Summary And Reflections On Coal And Coalbed Methane Co-Production And Coalbed Methane Extraction In Coal Mining Areas, Zhang Sui’An, Zhang Xiao, Li Xuechen, Hu Huiting Jun 2026

Summary And Reflections On Coal And Coalbed Methane Co-Production And Coalbed Methane Extraction In Coal Mining Areas, Zhang Sui’An, Zhang Xiao, Li Xuechen, Hu Huiting

Coal Geology & Exploration

Background To curb coal mine gas accidents from sources, exploit low-carbon and clean coalbed methane (CBM) resources, and protect the atmospheric environment (achieved by methane emission reduction in coal mining areas), the authors’ team, by working with Shanxi Jincheng Anthracite Mining Group and cooperating closely with relevant research institutes, colleges, and universities, has progressively developed theories with clear concepts and scientific connotations, as well as relevant technical systems and industrial paradigms, for coal and CBM co-production through over two decades of original, integrated, and cross-industry innovations (spanning across fluid and solid mineral industries), along with theoretical exploration, technological research and …

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Methods For Assessing The Circulation Depth Of Geothermal Water In A Moderate- To Low-Temperature Convective Geothermal System And Their Applications, Li Yiman, Xia Haoran, Gao Binbin, Sun Wenjie, Pang Zhonghe Jun 2026

Methods For Assessing The Circulation Depth Of Geothermal Water In A Moderate- To Low-Temperature Convective Geothermal System And Their Applications, Li Yiman, Xia Haoran, Gao Binbin, Sun Wenjie, Pang Zhonghe

Coal Geology & Exploration

Background The circulation depth of geothermal water is an important parameter for investigating geothermal systems or fields. It determines the thermal energy intensity and mineral composition of geothermal water, emerging as a critical factor influencing the efficient and sustainable development and utilization of geothermal resources.Progress This study presents a summary of the characteristics of typical moderate- to low-temperature convective geothermal systems from the perspective of sources (heat and fluid sources), pathways, geothermal reservoirs, cap rocks, and the geothermal water upwelling process and its impacts. Furthermore, this study systematically reviews suitable methods for assessing the circulation depth of geothermal water, …

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Algorithmic Monocultures In Hiring, Rishi Bommasani, Sarah H. Bana, Kathleen A. Creel, Dan Saul Jurafsky, Percy Liang Jun 2026

Algorithmic Monocultures In Hiring, Rishi Bommasani, Sarah H. Bana, Kathleen A. Creel, Dan Saul Jurafsky, Percy Liang

Economics Faculty Articles and Research

Many employers screen job applicants with algorithms built by the same few algorithm vendors. We hypothesize that algorithmic monoculture leads to the same individuals and members of the same racial groups facing rejection. We acquire and analyze a novel dataset of 3 million applicants submitting 4 million applications where all the applications are screened by algorithms built by the same vendor. We find clear racial disparities in applicant outcomes. Of all applications submitted by Asian and Black applicants, 14.74% and 25.87% are submitted to positions that adversely impact Asian and Black applicants, respectively, according to U.S. employment discrimination standards. Individuals …

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Research On Control Strategy For Shortest Time Occupancy Of Auv Based On Improved Td3, Wenzhe Ren, Min Li, Xiangguang Zeng, Tao Zhang, Dijie Xie, Bei Peng Jun 2026

Research On Control Strategy For Shortest Time Occupancy Of Auv Based On Improved Td3, Wenzhe Ren, Min Li, Xiangguang Zeng, Tao Zhang, Dijie Xie, Bei Peng

Journal of System Simulation

Existing occupancy models fail to fully consider the interference of underwater time-varying ocean currents and task time constraints, and AUVs lacks real-time motion control. To address these issues, a shortest time occupancy method based on quantile regression and distributed TD3 was proposed. The Bayesian inference method was used to identify hydrodynamic parameters, and the kinematic and dynamic models of AUVs were established; the shortest time occupancy equation was constructed, and the occupancy target point and occupancy time were solved; a first-order Gauss-Markov process was introduced to simulate the time-varying ocean current environment, and the training of control strategy for AUV …

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Iterative Evolution And Innovation Of Simulation-Based Experimental Teaching In Software Engineering, Jun Guo, Yixian Liu, Lianbo Ma, Jian Liu, Chunyan Xu Jun 2026

Iterative Evolution And Innovation Of Simulation-Based Experimental Teaching In Software Engineering, Jun Guo, Yixian Liu, Lianbo Ma, Jian Liu, Chunyan Xu

Journal of System Simulation

In view of the structural disconnection between talent training and industry needs caused by the limitations of traditional computer experiment teaching in scenario authenticity, technological frontier, interdisciplinary integration, and student subjectivity, this paper proposed and practiced a new simulation-based experimental teaching system deeply integrating Chinese educational wisdom. Taking "incremental progress and learning by guided inquiry" as the core philosophy, through a four-in-one paradigm transformation of "task modularization, scenario virtualization, technological frontier, and integration deepening", this paper promoted the teaching to shift from closed skill verification to open engineering innovation and constructed a complete implementation path including "closed-loop iterative teaching process" …

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Design Of Teaching Model For Simulation Engineering Comprehensive Practical Course, Meigen Huang, Xin Zhou, Tian Jing, Tao Wang Jun 2026

Design Of Teaching Model For Simulation Engineering Comprehensive Practical Course, Meigen Huang, Xin Zhou, Tian Jing, Tao Wang

Journal of System Simulation

To cultivate postgraduates' comprehensive engineering problem-solving ability to complex problems, based on Wittrock's generative learning theory and the agile systems engineering paradigm, this paper proposed an overall idea of curriculum construction reform promoted by the integration of teaching and research, independently developed an unmanned swarm attack and defense simulation experimental teaching platform, constructed a comprehensive practical case of "warship defense against unmanned aerial vehicle swarm attacks", and refined a relatively advanced and distinctive teaching model for the simulation engineering comprehensive practical course. This model effectively strengthens postgraduates' engineering problem-solving thinking for complex problems, stimulates their independent innovation ability, elevates …

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Experimental And Simulation Study On Energy Release Of Extended Sources Influenced By Atmospheric Pressure Variation, Kai Guo, Feiyu Zhao, Hao Zhang, Liang Wang, Kai Zhang Jun 2026

Experimental And Simulation Study On Energy Release Of Extended Sources Influenced By Atmospheric Pressure Variation, Kai Guo, Feiyu Zhao, Hao Zhang, Liang Wang, Kai Zhang

Journal of System Simulation

To investigate the energy release characteristics of extended sources in low-pressure environments, a combined experiment and simulation approach was adopted. Four typical altitudecorresponding pressures were selected as experimental conditions. An infrared thermal imager was employed to monitor parameters such as combustion temperature, radiance, and combustion area during the combustion process of the extended source. When the pressure decreases from 101 kPa to 30 kPa, the ignition time of the extended source doubles; the total energy release attenuates by 44.78%, and the combustion area reduces by 45.95%, but the fluctuations of peak temperature and average temperature are less than 3%, …

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Research On Output Feedback Control Based On Reinforcement Learning For Overhead Crane, Minghui Li, Daoxiang Gao Jun 2026

Research On Output Feedback Control Based On Reinforcement Learning For Overhead Crane, Minghui Li, Daoxiang Gao

Journal of System Simulation

An output feedback control algorithm is designed based on reinforcement learning for the optimal control problem of overhead crane system. A high gain observer (HGO) is designed using output data to estimate the unmeasurable states of the overhead crane system. Based on the estimated states from the high-gain observer, a policy iteration (PI) method is designed with integral reinforcement learning, which uses Critic and Actor neural networks to approximate the optimal value function and control strategy, and adjusts the neural network weights in real time through online adaptive algorithms. According to the Lyapunov stability theory, the uniform ultimate boundedness of …

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Current Status And Prospects Of Complex Scene Reconstruction Based On Gaussian Splatting, Hong'an Li, Jiale Yang, Qingfang Liu, Yu Shi Jun 2026

Current Status And Prospects Of Complex Scene Reconstruction Based On Gaussian Splatting, Hong'an Li, Jiale Yang, Qingfang Liu, Yu Shi

Journal of System Simulation

Three-dimensional Gaussian splatting (3DGS) provides an alternative approach for novel view synthesis from the perspective of explicit representation. By reconstructing scenes using 3D Gaussian primitives and replacing traditional ray integration with a point-based rasterization process, it not only improves training and rendering efficiency but also offers new insights for complex scene reconstruction. This paper divided 3DGS-based complex scene reconstruction methods into three major categories and elaborated on them around large-scale scenes, sparse views, and dynamic scenes. It reviewed the current development status of this field and pointed out possible future research directions.

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Exploration And Practice Of Talent Cultivation System For System Modeling And Simulation, Shaoping Wang, Chao Zhang, Ni Li, Yong Cui, Yongjia Zhao, Quan Quan Jun 2026

Exploration And Practice Of Talent Cultivation System For System Modeling And Simulation, Shaoping Wang, Chao Zhang, Ni Li, Yong Cui, Yongjia Zhao, Quan Quan

Journal of System Simulation

Focusing on the cultivation of innovative talents in modeling and simulation of aerospace and safety-critical control systems and facing the problems and challenges in the education and teaching of talent cultivation for system modeling and simulation, this paper inherited the "red ambition, soaring far" spirit of simulation researchers in Beihang University, constructed an integrated bachelor, master, and doctoral course system empowered by the latest key technologies, designed open and collaborative aerospace teaching cases, independently developed a control system simulation teaching platform based on Chinese simulation software MWORKS, and constructed a hardware-in-the-loop simulation experimental verification system for C919 aircraft, to …

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Four-Dimensional Gradient Integration: Reform And Practice On Modeling And Simulation Courses For Management Disciplines, Bin Wu, Huagang Tong, Zhiyong Cui, Feiyi Yan Jun 2026

Four-Dimensional Gradient Integration: Reform And Practice On Modeling And Simulation Courses For Management Disciplines, Bin Wu, Huagang Tong, Zhiyong Cui, Feiyi Yan

Journal of System Simulation

In the process of course implementation, local universities generally face problems such as students' weak mathematical and physical foundations, disconnection between teaching content and technological frontiers, single teaching method, and fragmented cultivation of practical capability. Based on long-term teaching reform practice, a four-dimensional gradient integration teaching model of "value guidance, knowledge restructuring, scenario innovation, and capability progression" was proposed, and its theoretical logic, implementation path, and practical effect were systematically elaborated. This model can effectively stimulate students' intrinsic motivation for learning, promote the digital and intelligent updating of teaching content, expand the teaching scenario of industry-education integration, and realize …

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Dynamic Analysis Of Flexible Mechanism With Lubrication Clearances Considering Uncertain Parameters, Xiulong Chen, Yi Sun, Aiguo Wang Jun 2026

Dynamic Analysis Of Flexible Mechanism With Lubrication Clearances Considering Uncertain Parameters, Xiulong Chen, Yi Sun, Aiguo Wang

Journal of System Simulation

This paper conducted a dynamic analysis on a seven-link mechanism suitable for a hybriddriven press, simultaneously considering lubrication clearances, interval parameters, and link flexibility. Based on the Lagrange equations of the first kind, the dynamic equations of the flexible mechanism with lubrication clearances under deterministic parameters were established; interval variables were introduced to establish a dynamic model considering interval parameters, and the Chebyshev interval algorithm and the Runge - Kutta method were used to solve the response interval curves of interval parameters such as clearances value, dynamic viscosity, and cross-sectional area. The results show that compared with the results under …

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Energy Management Strategy For Hybrid Electric Buses Considering Vehicle Mass Variation, Jinjun Tang, Shuaijie Zhang Jun 2026

Energy Management Strategy For Hybrid Electric Buses Considering Vehicle Mass Variation, Jinjun Tang, Shuaijie Zhang

Journal of System Simulation

The vehicle mass variation during the operation of buses affects power demand of the vehicle, which can result in poor performance of energy management strategies. To this end, a hybrid electric bus energy management strategy based on proximal policy optimization-adaptive simulated annealing (PPOASA) is proposed. ASA is introduced into PPO to perturb policy parameters according to policy entropy before the policy update, and the perturbed policies are adaptively accepted or rejected by employing the Metropolis criterion, thus improving the exploration capability of the policy and convergence stability. Experimental results show that the proposed method outperforms the charge depleting-charge sustaining (CD-CS) …

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Improved Nsga-Ii For Dual-Resource Flexible Job Shop Scheduling Considering Worker Load, Guohui Zhang, Yuan Ren, Changjun Wu, Xiaofei Kou Jun 2026

Improved Nsga-Ii For Dual-Resource Flexible Job Shop Scheduling Considering Worker Load, Guohui Zhang, Yuan Ren, Changjun Wu, Xiaofei Kou

Journal of System Simulation

For the dual-resource-constrained flexible job shop scheduling problem considering worker load, an evolutionary algorithm integrating reinforcement learning was proposed. A three-stage encoding conforming to the problem characteristics was designed, and three initialization methods were combined to improve the population quality; a left-insertion decoding method based on worker load was designed to ensure that the completion time of the operation is less than the maximum processable time of the worker on the current day; two neighborhood structures based on the critical path were constructed to enhance the local exploration ability of the population; reinforcement learning was integrated to enable the …

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Impact Angle-Constrained Dive Maneuver Guidance Method For Hypersonic Vehicles, He Wang, Gang Lei, Shaopeng Li Jun 2026

Impact Angle-Constrained Dive Maneuver Guidance Method For Hypersonic Vehicles, He Wang, Gang Lei, Shaopeng Li

Journal of System Simulation

To address the impact angle control and maneuvering flight problem of hypersonic vehicles in the dive phase, this paper proposed a tracking guidance method integrating optimal Bézier curves and super-twisting sliding mode control. A three-dimensional Bézier curve trajectory satisfying the impact angle constraint was designed, and the maneuvering flight in dive phase was achieved by adding dynamic control points; to optimize impact velocity, a rapid calculation method for the impact velocity of the vehicle flying along the curve was derived, and the optimal reference trajectory was obtained by optimizing the control point parameters through sequential quadratic programming; to ensure …

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Application Of Improved Multi-Objective Differential Algorithm In Robotic Arm Multi-Objective Trajectory Planning, Manqiang Liu, Ziqiang Shang Jun 2026

Application Of Improved Multi-Objective Differential Algorithm In Robotic Arm Multi-Objective Trajectory Planning, Manqiang Liu, Ziqiang Shang

Journal of System Simulation

It is difficult for single-objective trajectory planning methods to meet the requirements of precision, diversity and complexity of robotic arms. A trajectory planning model based on an improved multi-objective differential evolution algorithm (guided multi-objective differential evolution, GMODE) algorithm is proposed. Cubic polynomial interpolation and B-spline curves are employed to construct multi-objective functions, while GMODE is adopted to overcome the limitations of traditional algorithms, such as insufficient population diversity, the tendency to fall into local optima, and slow convergence. A grouping strategy, parameter generation mechanism, and elite mutation based on fuzzy Cmeans clustering are introduced to optimize B-spline control nodes. …

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Two-Stage Calibration And Optimization Method For Microscopic Traffic Simulation Model Parameters Based On Neural Network Surrogate Models, Yijia Liu, Chenjing Zhou, Dong Pan, Jian Rong, Yang Xiao Jun 2026

Two-Stage Calibration And Optimization Method For Microscopic Traffic Simulation Model Parameters Based On Neural Network Surrogate Models, Yijia Liu, Chenjing Zhou, Dong Pan, Jian Rong, Yang Xiao

Journal of System Simulation

A two-stage calibration and optimization method is proposed to address the problem that parameter calibration methods for microscopic traffic simulation models are time-consuming. In the first stage, a surrogate model based on neural networks is trained to establish the mapping relationship between model parameters and evaluation indicators, and a genetic algorithm (GA) is combined to screen candidate parameters. In the second stage, after obtaining the approximate optimal parameters, by employing this set of parameters as initial values, a genetic algorithm is re-executed by combining the real simulation model for optimization to further improve calibration accuracy. Experimental results show that the …

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Pattern Identification And Mechanism Analysis Of Nonlinear Oscillations In Grid-Connected Direct-Drive Wind Turbines, Libin Wen, Shaopu Tang, Xianfa Hu, Jinji Xi, Tongtong Zhang, Hong Hu, Weijie Zhang Jun 2026

Pattern Identification And Mechanism Analysis Of Nonlinear Oscillations In Grid-Connected Direct-Drive Wind Turbines, Libin Wen, Shaopu Tang, Xianfa Hu, Jinji Xi, Tongtong Zhang, Hong Hu, Weijie Zhang

Journal of System Simulation

Taking a grid-connected direct-drive wind turbine system as an example, a comprehensive model is developed that incorporates nonlinear elements such as prime mover control, machine-side and grid-side converter control, multiple limiters, and control switching. A nonlinear oscillation pattern identification method based on density clustering and manual identification is proposed. The results show that the proposed method can efficiently identify various typical patterns, including quasi-constant amplitude oscillations, period-doubling oscillations, and chaotic oscillations. Oscillations dominated by nonlinear factors such as control switching, limiter collision, and limiter saturation are essentially caused by the transition of the associated components from passive responses to …

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Research On Optimization Modeling Method For Eye Tracking In Solfeggio Cognitive Simulation, Kun Zhang, Jiajie Qian, Shuhong Ma, Zengxu Zhao, Yuchen Pan, Yaoqi Tang Jun 2026

Research On Optimization Modeling Method For Eye Tracking In Solfeggio Cognitive Simulation, Kun Zhang, Jiajie Qian, Shuhong Ma, Zengxu Zhao, Yuchen Pan, Yaoqi Tang

Journal of System Simulation

To address the fixation offset problem caused by head movement in music solfeggio teaching simulation and the lack of system-level simulation validation in existing methods, this paper proposed a fixation accuracy optimization method integrating image semantic understanding, temporal trajectory modeling, and solfeggio cognitive simulation. With Vision Transformer as the core, after preprocessing via Mahalanobis distance, sliding window, and region of interest, position offset perception, offset residual regression, and dual-pathway fusion were introduced to achieve offset modeling and correction under unlabeled conditions. Simulation results indicate that the error of this method decreases by 43.9% compared with the original value error; removing …

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Advances In Research On Borehole Geophysical Exploration And Associated Equipment For Advance Detection Of Underground Water Hazards In Coal Mines, Wu Qiang, Wang Xianhui, Yang Donghui, Xiao Wenhao, Cui Zhuangjie, Chen Han, Sheng Zhen, Zeng Yifan Jun 2026

Advances In Research On Borehole Geophysical Exploration And Associated Equipment For Advance Detection Of Underground Water Hazards In Coal Mines, Wu Qiang, Wang Xianhui, Yang Donghui, Xiao Wenhao, Cui Zhuangjie, Chen Han, Sheng Zhen, Zeng Yifan

Coal Geology & Exploration

Background Deep coal mining is facing increasingly complex hidden disaster-causing factors, including faults, collapse columns, water accumulation in goaves, confined water in coal seam floors, and hydraulically conductive fracture zones. In this context, conventional modes based on ground exploration, roadway geophysical exploration, and drilling verification suffer from limitations in terms of detection distance, positioning accuracy, dynamic perception, and real-time feedback. In contrast, borehole geophysical exploration extends the detection space into coal-rock masses using underground boreholes, enabling the acquisition of information about continuous physical properties around, between, and ahead of boreholes. Therefore, this technology provides important support for the advance detection …

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Recent Advances In Research On Intelligent Technologies And Equipment For Underground Geological Exploration Of Coal Mines In China, Zhang Jianming, Li Quanxin, Liu Fei, Fang Jun Jun 2026

Recent Advances In Research On Intelligent Technologies And Equipment For Underground Geological Exploration Of Coal Mines In China, Zhang Jianming, Li Quanxin, Liu Fei, Fang Jun

Coal Geology & Exploration

Background Intelligent coal mine construction represents an important measure to promote the high-quality development of the coal industry. Developing intelligent technologies and equipment for geological exploration is the key to both transparent geological guarantee and the efficient prevention and control of major disasters in coal mines. Advances This study presents a systematic analysis of the latest advances in intelligent technologies and equipment for underground geological exploration of coal mines in China, focusing on intelligent drilling and geophysical prospecting. In terms of intelligent drilling, this study introduces intelligent drilling rigs equipped with multiple functions, including adaptive control, remote monitoring, and fault …

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Philosophy And Methodology For Predicting Deep Coal Resources: A Case Study Of The Carboniferous-Permian Strata In The Ordos Basin, Cao Daiyong, Wei Yingchun, Ning Shuzheng, Wang Xin, Zhu Wenhao, Li Jingqi, Wang Anmin, Qiao Junwei, Xu Xiaotao, Hou Yuehua Jun 2026

Philosophy And Methodology For Predicting Deep Coal Resources: A Case Study Of The Carboniferous-Permian Strata In The Ordos Basin, Cao Daiyong, Wei Yingchun, Ning Shuzheng, Wang Xin, Zhu Wenhao, Li Jingqi, Wang Anmin, Qiao Junwei, Xu Xiaotao, Hou Yuehua

Coal Geology & Exploration

Objective In China, deep coal resources hold considerable potential, exhibiting promising prospects for exploitation and utilization. Therefore, gaining a clear understanding of deep coal resources provides a prerequisite and foundation for both the national strategic planning of coal resources and the scientific development and utilization of deep coal resources. Research Thinking From the perspective of the current situation of coal resources in China, this study determined the occurrence characteristics and categories of deep coal resources. Accordingly, it proposed a philosophy and workflow for predicting the resources, followed by the prediction of deep coal resources in the Carboniferous-Permian strata of the …

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Theoretical Research Advances And Applications Of The Dynamic Metamorphism Of Coals, Liu Hewu, Jiang Bo, Song Yu, Du Zhigang, Zhang Kun, Hou Chenliang, Yang Wenjie, Huang Nini Jun 2026

Theoretical Research Advances And Applications Of The Dynamic Metamorphism Of Coals, Liu Hewu, Jiang Bo, Song Yu, Du Zhigang, Zhang Kun, Hou Chenliang, Yang Wenjie, Huang Nini

Coal Geology & Exploration

Background The dynamic metamorphism of coals, a significant type of coal metamorphism, represents a fundamental research topic of coal geology. The research achievements have been widely applied in fields such as coal resource evaluation, the prevention and control of coal mine gas, and the exploration and exploitation of coalbed methane (CBM), holding great significance for gaining a deep understanding of the microscopic mechanisms underlying coal deformation and metamorphism, coal and gas outbursts, and CBM occurrence. Method Based on a literature survey and analysis, this study presents a systematic review of the development history of research on the dynamic metamorphism of …

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Tectonic Genetic Mechanisms Of Burnt Rocks In The Upper And Middle Reaches Of The Yellow River Basin, Sun Qiang, Hu Xin, Wang Shuangming, Ding Xiaoying, Geng Jishi, Wu Jiakun, Wei Shaoni, Luo Donghai Jun 2026

Tectonic Genetic Mechanisms Of Burnt Rocks In The Upper And Middle Reaches Of The Yellow River Basin, Sun Qiang, Hu Xin, Wang Shuangming, Ding Xiaoying, Geng Jishi, Wu Jiakun, Wei Shaoni, Luo Donghai

Coal Geology & Exploration

Objective The upper and middle reaches of the Yellow River basin represent significant coal bases of China, while burnt rocks formed by the high temperature of coal fires greatly affect the safe and green coal mining in this region. Therefore, investigating the distribution patterns and geological genetic mechanisms of burnt rocks in this region is of great scientific significance and practical value. Methods This study systematically investigated the distribution range and patterns of burnt rocks in the upper and middle reaches of the Yellow River basin. Using analysis of geological processes, this study explored the geological genetic mechanisms and primary …

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Hydrodynamic Evolution Simulations And Safety Assessment Of The Deep Reinjection And Storage Of High-Salinity Mine Water, Xu Zhimin, Chen Weixiao, Sun Yajun, Zhang Jian, Chen Tianci, Liu Qi, Chen Ge, Hua Jingfan Jun 2026

Hydrodynamic Evolution Simulations And Safety Assessment Of The Deep Reinjection And Storage Of High-Salinity Mine Water, Xu Zhimin, Chen Weixiao, Sun Yajun, Zhang Jian, Chen Tianci, Liu Qi, Chen Ge, Hua Jingfan

Coal Geology & Exploration

Objective In some mining areas of North China-type coalfields, large volumes of high-salinity mine water produced during coal mining pose dual challenges: high treatment costs to meet discharge standards and the waste of mine water resources due to inefficient utilization before discharge. In recent years, the deep reinjection and storage technology for high-salinity mine water has provided a new approach to this issue. To achieve this technology, it is essential to understand the flow field evolution during mine water reinjection and address reinjection-induced safety problems. Methods This study investigated coal mine A in Jiangsu Province as an example. Using the …

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Key Technologies For Artificial Intelligence-Based Inversion Of The Borehole Transient Electromagnetic Method In Coal Mining Areas, Fan Tao, Hao Yue, Zhang Peng, Li Ping, Zhao Zhao, Zhao Rui, Liu Qiang, Yan Junsheng, Song Xianzhe, Liu Borui, Chen Changyuan, Li Bo Jun 2026

Key Technologies For Artificial Intelligence-Based Inversion Of The Borehole Transient Electromagnetic Method In Coal Mining Areas, Fan Tao, Hao Yue, Zhang Peng, Li Ping, Zhao Zhao, Zhao Rui, Liu Qiang, Yan Junsheng, Song Xianzhe, Liu Borui, Chen Changyuan, Li Bo

Coal Geology & Exploration

Background Using directional boreholes, the borehole transient electromagnetic (TEM) method enables near-field excitation and the simultaneous reception of three components within a borehole. This method can effectively avoid interference from ferromagnetic materials in roadways, thereby significantly enhancing the detection accuracy and range. Therefore, this method is widely applied to the detection of underground concealed water hazards in coal mines. However, there is a conflict between the accuracy and efficiency of current inversion methods for borehole TEM data, and existing technologies are insufficient to simultaneously meet the demands for high efficiency and high precision in the detection of concealed water hazards. …

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Development And Prospects Of Underground Intelligent Drilling Rigs For Coal Mines, Yao Ningping, Li Quanxin, Lu Qianhai, Peng Guangyu, Zhang Gang, Zhang Youzhen Jun 2026

Development And Prospects Of Underground Intelligent Drilling Rigs For Coal Mines, Yao Ningping, Li Quanxin, Lu Qianhai, Peng Guangyu, Zhang Gang, Zhang Youzhen

Coal Geology & Exploration

Background In coal mines, underground intelligent drilling rigs serve as critical equipment for gas extraction and water hazard prevention and control. With increasing mining depth, extreme operating conditions, including elevated gas concentration and high in situ stress, pose challenges to conventional drilling modes. Progress This study presents a systematic review of the evolutionary history of intelligent drilling rigs in China from the 13th to the 14th Five-Year Plan, dividing it into three stages: semi-automated operation, whole-process automated operation, and initial intelligent drilling. In the semi-automated operation stage, technologies for remote control within a viewing distance and automatic loading and unloading …

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Intelligent Path Planning For Drilling Arms In Rock Bolting In Coal Mines Based On An Improved Rrt Algorithm, Zhang Xuhui, Xie Yanbin, Lei Mengyu, Song Chengzhi, Dong Zheng, Wang Zeyao, Wang Tenghui, Tian Sihao, Zhang Qinhuan Jun 2026

Intelligent Path Planning For Drilling Arms In Rock Bolting In Coal Mines Based On An Improved Rrt Algorithm, Zhang Xuhui, Xie Yanbin, Lei Mengyu, Song Chengzhi, Dong Zheng, Wang Zeyao, Wang Tenghui, Tian Sihao, Zhang Qinhuan

Coal Geology & Exploration

Objective Against the background of intelligent coal mining, automated underground rock bolting has become a core demand in enhancing the tunneling efficiency and safety of roadways. However, the path planning of drilling arms suffers from a low degree of automation, cumbersome posture adjustment, low operational stability, and insufficient drilling accuracy in complex underground environments. Methods To address these issues, this study developed an intelligent path planning method for drilling arms in rock bolting in coal mines based on an improved rapidly-exploring random tree (RRT) algorithm. First, a goal-biased guidance strategy was adopted to narrow the sampling range, and an update …

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Frequency And Radiative Analysis Of Random Yagi-Uhf/Vhf Phased Array, Luis M. Bres, Luis A. Hernandez, Teviet Creighton Jun 2026

Frequency And Radiative Analysis Of Random Yagi-Uhf/Vhf Phased Array, Luis M. Bres, Luis A. Hernandez, Teviet Creighton

Physics & Astronomy Faculty Publications

This study investigates a phased array ground station capable of tracking multiple sources, multi-beamforming, electronic steering, easy scaling, and low cost. The project will develop a 20-pair dual-polarized Yagi-UHF/VHF phased array, comparing the parameters of random and uniform layouts. This study will be divided into two domains: frequency, and radiative domain. The frequency domain will explore the reception and transmission spectra analysis under several scenarios for our antennas. The radiative domain will explore the following: general side lobe analysis across both elevation and azimuth, antenna element sweep analysis, electronic beam steering analysis, electro-mechanical beam steering analysis, array density analysis, and …

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