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Articles 3301 - 3330 of 195927
Full-Text Articles in Engineering
Mechanisms Behind The Control Of Floor Failure In Deep Coal Mines By Hydraulic Fracturing Based On Power-Law Fracture Networks, Duan Hongfei, Ye Dayu, Zhao Lijuan, Zeng Yifan, Zou Junpeng, Yu Guofeng, Meng Xiang
Mechanisms Behind The Control Of Floor Failure In Deep Coal Mines By Hydraulic Fracturing Based On Power-Law Fracture Networks, Duan Hongfei, Ye Dayu, Zhao Lijuan, Zeng Yifan, Zou Junpeng, Yu Guofeng, Meng Xiang
Coal Geology & Exploration
Objective Hydraulic fracturing of coal seam floors represents an important technical approach to mitigating damage to the floor rock masses through proactive pressure relief and to improving seepage pathways. However, there is a lack of systematic, quantitative insights into the evolutionary characteristics of floor fracture networks, as well as their impacts on the stress redistribution and rock stability of coal seam floors, during hydraulic fracturing.Methods This study aims to address the challenge that is prone to cause severe damage to the floor rock masses. First, a coal seam floor was considered a saturated porous medium containing multi-scale fractures based …
Comparison Of Models For Predicting The Floor Failure Depths Of Coal Seams With Moderate Thicknesses And Above Under Fully Mechanized Mining, Xu Bin, Zhong Cen, Dong Shuning, Yin Shangxian, Wang Hao, Li Shuxia, Du Yongwei, Zhang Kebin
Comparison Of Models For Predicting The Floor Failure Depths Of Coal Seams With Moderate Thicknesses And Above Under Fully Mechanized Mining, Xu Bin, Zhong Cen, Dong Shuning, Yin Shangxian, Wang Hao, Li Shuxia, Du Yongwei, Zhang Kebin
Coal Geology & Exploration
Objective The failure depth of a coal seam floor represents a critical parameter for assessing the risk of floor water inrushes. With the widespread application of fully mechanized mining with a large mining height, existing empirical equations suffer from insufficient accuracy when used to calculate the mining-induced floor failure depths of coal seams with moderate thicknesses and above.Methods Based on the compressive strength of coal seam floors (i.e., hard, moderately hard, and weak floors), 107 sets of data samples of the measured floor failure depths of coal seams with moderate thicknesses and above under fully mechanized mining were classified. …
Post-Grouting Subsidence Of The Overburden In Goaves At Major Engineering Sites: Fiber Optic Monitoring And Deformation Mechanisms, Cao Xiaoyi, Liu Xiaoping, Liu Haoqi
Post-Grouting Subsidence Of The Overburden In Goaves At Major Engineering Sites: Fiber Optic Monitoring And Deformation Mechanisms, Cao Xiaoyi, Liu Xiaoping, Liu Haoqi
Coal Geology & Exploration
Background The characteristics and mechanisms of residual deformations in goaves after engineering reinforcement (i.e., grouting filling) concern the design, construction, and long-term safety of major engineering projects. Furthermore, they are identified as the key to the efficient development of abandoned land in goaves within old mining areas. Therefore, it is necessary to explore methods and techniques for monitoring post-grouting subsidence of the entire strata in goaves. This will help acquire high-quality, long-term monitoring data on deformation in the field and reveal the mechanisms behind deformation associated with post-grouting subsidence in goaves.Methods This study investigated the Xiaohegou Bridge site (including …
Discovery Of Quasi-Carbon Nanotube Structures In Tectonically Deformed Coals And Their Formation Mechanisms, Li Yunbo, Wang Rongqi, Song Dangyu, Wang Chengtao, Li Qiang, Yi Ke, Wang Yuanyuan, Pan Jienan
Discovery Of Quasi-Carbon Nanotube Structures In Tectonically Deformed Coals And Their Formation Mechanisms, Li Yunbo, Wang Rongqi, Song Dangyu, Wang Chengtao, Li Qiang, Yi Ke, Wang Yuanyuan, Pan Jienan
Coal Geology & Exploration
Objective Carbon nanotubes (CNTs) have attracted wide attention due to their unique structures and performance. However, their artificial synthesis requires stringent conditions, including high temperatures (700 ℃ to 2 300 ℃), stable carbon sources, and catalysts. Furthermore, these structures are rarely discovered in nature. As a carbon-rich medium, coals can form a variety of ordered carbon structures during their metamorphic and deformational processes, serving as an ideal carrier for exploring the formation mechanisms of natural CNTs.Methods Typical tectonically deformed coals from the Pingdingshan and Huaibei mining areas were investigated in this study. After demineralization and chloroform extraction, coal samples …
Dynamic Evolution Of Rock Mechanical Properties Of Coal Seam Roofs Under Thermal Loading: A Case Study Of The Baikouquan Area, Xinjiang, China, Sun Fangfang, Li Xin, Sang Shuxun, Qu Huailin, Yang Shuguang, Wei Bo, Wang Ziqiang, Zhang Bin, Chen Yanpeng, Tian Wenling
Dynamic Evolution Of Rock Mechanical Properties Of Coal Seam Roofs Under Thermal Loading: A Case Study Of The Baikouquan Area, Xinjiang, China, Sun Fangfang, Li Xin, Sang Shuxun, Qu Huailin, Yang Shuguang, Wei Bo, Wang Ziqiang, Zhang Bin, Chen Yanpeng, Tian Wenling
Coal Geology & Exploration
Objective Underground coal gasification (UCG) represents a key technology for the clean utilization of coal resources. However, during the UCG process, thermal damage to surrounding rocks under thermal effects directly affects the stability and engineering safety of gasification channels.Methods To address the thermal damage to surrounding rocks during UCG, this study investigated the silty mudstones and coarse-grained sandstones in the coal seam roof of the Xishanyao Formation, Baikouquan area, Xinjiang. Through high-temperature uniaxial compression experiments, combined with characterization methods like X-ray diffraction (XRD) and scanning electron microscopy (SEM), this study delved into the dynamic evolutionary patterns of rock mechanical …
Coupling Mechanisms Of Fracture Propagation And Proppant Transport Indeep Coalbed Methane Reservoirs, Guo Xiaodong, Zhang Shicheng, Zhang Jingchen, Zhou Changjing, Zhang Chengsheng, Qiu Shixin, Xi Xiangrui
Coupling Mechanisms Of Fracture Propagation And Proppant Transport Indeep Coalbed Methane Reservoirs, Guo Xiaodong, Zhang Shicheng, Zhang Jingchen, Zhou Changjing, Zhang Chengsheng, Qiu Shixin, Xi Xiangrui
Coal Geology & Exploration
Objectives and Methods Deep coalbed methane (CBM) reservoirs commonly exhibit well-developed beddings, strong mechanical heterogeneity, and high in-situ stress gradients. These characteristics result in pronounced nonlinear fracture propagation and strong multi-field coupling effects during hydraulic fracturing. Consequently, it is challenging to accurately describe the mechanisms governing fracture complexity in deep coal reservoirs using conventional mechanical models for fractures. Using a super-large true triaxial system with dimensions of 2.0 m × 2.0 m × 1.0 m, this study conducted physical simulation experiments on hydraulic fracturing under varying injection rates and viscosities of fracturing fluids. In combination with fracture mechanics and energy …
Advances In Research On Mechanisms And Prevention And Control Technologies For Solid-Phase Production In Hydraulically Fractured Coalbed Methane Wells, Zhang Fengsan, Wu Jinqiao, Lin Jin, Li Yu, Zhang Ying, Li Bing, Zhang Guobiao, Sun Ying, Gan Yuke
Advances In Research On Mechanisms And Prevention And Control Technologies For Solid-Phase Production In Hydraulically Fractured Coalbed Methane Wells, Zhang Fengsan, Wu Jinqiao, Lin Jin, Li Yu, Zhang Ying, Li Bing, Zhang Guobiao, Sun Ying, Gan Yuke
Coal Geology & Exploration
Background The effective coalbed methane (CBM) exploitation using hydraulic fracturing wells is severely constrained by two major solid-phase production issues: coal fines blockage and proppant flowback. The mechanisms behind both issues are associated with complex interplays between geological conditions and engineering disturbances. This study presents a systematic review of the current status of domestic and international research on the mechanisms of the solid-phase production, as well as relevant prevention and control methods. Furthermore, future research directions are proposed.Advances The solid-phase production in hydraulically fractured CBM wells essentially arises from flow-solid-chemical multi-field coupling processes under interplays between geological conditions and …
Characteristics And Mechanisms Of The Adsorption Of Shales For Ba2+ In Fracturing Fluids, Xie Chenyang, Liu Bo, Zhang Yuting, Zhu Fang
Characteristics And Mechanisms Of The Adsorption Of Shales For Ba2+ In Fracturing Fluids, Xie Chenyang, Liu Bo, Zhang Yuting, Zhu Fang
Coal Geology & Exploration
Objectives and Methods Large-scale hydraulic fracturing represents a key technology for shale gas exploitation. However, engineering practices indicate that the flowback rates of fracturing fluids are low and vary significantly across different blocks. Furthermore, some components in fracturing fluids may cause groundwater contamination. To explore the adsorption characteristics and mechanisms of Ba2+ within fracturing fluids in shale reservoirs, this study investigated four typical types of samples, including shale and three shale samples with different compositions, from the Longmaxi Formation in the Changning Block, southern Sichuan Basin. Systematic experiments were conducted on the adsorption of shales with different mineral …
Predicting The Risk Of Water-Sand Inrushes From Coal Seam Roofs Based On A Small-Size Sample Dataset, Zhang Wenquan, Li Zixu, Zhu Xianxiang, Qiu Wei, Zhang Chengjie
Predicting The Risk Of Water-Sand Inrushes From Coal Seam Roofs Based On A Small-Size Sample Dataset, Zhang Wenquan, Li Zixu, Zhu Xianxiang, Qiu Wei, Zhang Chengjie
Coal Geology & Exploration
Objective The eastern and northern regions of China exhibit thick unconsolidated layers and thin bedrocks, with water-sand inrush disasters occurring frequently. Therefore, accurately predicting the risk of water-sand inrushes from coal seam roofs holds great significance for safe coal mining. However, the water-sand inrushes in these regions exhibit complex disaster-causing mechanisms, which involve the coupling effects of multiple factors. Accordingly, the real-time prediction of the water-sand inrush risk in the field poses challenges including high risk and cost. These issues lead to difficult data acquisition and severely insufficient samples, limiting the accuracy and performance of traditional prediction models. Therefore, there …
An Experimental Study On The Mechanical Property Evolution Of Granites Post-High-Temperature Treatment Under Loading And Unloading Conditions, Hao Wencai, Qiao Wei, Liu Huichen, Zhu Zhennan, Wang Hao, Liu Richeng, Guo Jie, Xie Jingyu, Cheng Xianggang, Lyu Ruijie
An Experimental Study On The Mechanical Property Evolution Of Granites Post-High-Temperature Treatment Under Loading And Unloading Conditions, Hao Wencai, Qiao Wei, Liu Huichen, Zhu Zhennan, Wang Hao, Liu Richeng, Guo Jie, Xie Jingyu, Cheng Xianggang, Lyu Ruijie
Coal Geology & Exploration
Objective The surrounding rocks of wellbores remain in a state of stress release during the drilling and heat extraction of deep geothermal reservoirs. Therefore, investigating the characteristic stresses of heat-treated granites under loading and unloading conditions is critical to understanding the crack evolution in deep hot dry rock (HDR) reservoirs during their stimulation. Methods Targeting the granite specimens after heat treatment at varying high temperatures (e.g., 200 ℃, 300 ℃, 400 ℃, 500 ℃, and 600 ℃), this study conducted triaxial loading and unloading tests under a confining pressure of 60 MPa, aiming to investigate the impacts of high temperature …
A Model For Predicting Coal Mining-Induced Surface Subsidence During Theinitial, Active, And Decline Stages, Zhang Liangliang, Liu Xiya, Cheng Hua, Du Shaoneng
A Model For Predicting Coal Mining-Induced Surface Subsidence During Theinitial, Active, And Decline Stages, Zhang Liangliang, Liu Xiya, Cheng Hua, Du Shaoneng
Coal Geology & Exploration
Objectives and Methods Presently, there remains a lack of theoretical models for predicting the coal mining-induced surface subsidence during the initial, active, and decline stages. Given this, this study derived the time-varying exponential function of the ratio of maximum to dynamic surface subsidence first using measured data from seven coal mines. Accordingly, an improved Knothe time function model was established. Then, the impacts of the model parameters on dynamic surface subsidence W(t), subsidence velocity v(t), and subsidence acceleration a(t) were analyzed. Subsequently, based on the improved Knothe model and the critical …
Soil Microbial Biomass And Organic Carbon Fractions Under Different Natural Restoration Years In Arid Coal Mining Subsidence Areas In Xinjiang, China, Xiao Li, Bi Yinli, Wang Dongdong, Li Jianfeng, Gong Hanlin, Deng Aojuan, Hou Wensheng
Soil Microbial Biomass And Organic Carbon Fractions Under Different Natural Restoration Years In Arid Coal Mining Subsidence Areas In Xinjiang, China, Xiao Li, Bi Yinli, Wang Dongdong, Li Jianfeng, Gong Hanlin, Deng Aojuan, Hou Wensheng
Coal Geology & Exploration
Objective This study aims to elucidate the influence of the natural restoration process on changes in soil microbial biomass and organic carbon fractions in coal mining subsidence areas. This effort will provide a crucial scientific foundation for understanding the natural ecological restoration process and carbon accumulation dynamics in arid coal mining subsidence areas.Methods Arid coal mining subsidence areas in Xinjiang, China were investigated in this study. Using the space-for-time substitution approach, sample plots were selected from an unmined area and areas having undergone natural restoration for one, three, eight, and 12 years. Subsequently, systematic analyses were conducted on the …
A Dynamic Prediction Method For Coal Seam Thickness Based On The Kpca-Pso-Svr Model, Yang Tun, Ye Shugang, Ma Ming, Wang Qianyao
A Dynamic Prediction Method For Coal Seam Thickness Based On The Kpca-Pso-Svr Model, Yang Tun, Ye Shugang, Ma Ming, Wang Qianyao
Coal Geology & Exploration
Objectives and Methods With the development of high-precision and intelligent seismic exploration techniques, it is necessary to accurately quantify and interpret coal seam thickness to provide reliable data for constructing high-precision three-dimensional geological models. This will help ensure safe and efficient coal mining in coal mines. In coal seam thickness prediction, the comprehensive multi-attribute analysis method faces challenges such as the cumbersome selection of optimal seismic attributes and the low predictive accuracy of regression models. To address these challenges, this study proposed a support vector regression (SVR) prediction model based on kernel principal component analysis (KPCA) and particle swarm optimization …
A Surface Wave Inversion Method Incorporating Interface Constraints And Its Application In The Assessment Of Ground Vibrations Caused By Mining-Induced Seismicity, Li Cheng, Qian Changbao, Liu Ying, Cheng Yi, Ni Shengjun, Yao Huajian
A Surface Wave Inversion Method Incorporating Interface Constraints And Its Application In The Assessment Of Ground Vibrations Caused By Mining-Induced Seismicity, Li Cheng, Qian Changbao, Liu Ying, Cheng Yi, Ni Shengjun, Yao Huajian
Coal Geology & Exploration
Objective In mining areas of western China, underlying interfaces with significant fluctuations affect seismic exploration accuracy while also posing challenges to the assessment of ground vibrations triggered by dynamic hazards such as mining-induced seismicity. To enhance the characterization of shallow velocity structures and to provide support for dynamic hazard prevention and control in mining areas, this study developed an inversion method incorporating prior information about geological interfaces.Methods A dense array consisting of 489 single-component and 108 three-component seismometers was deployed within a mining area in Longkou Town, Junggar Banner, Inner Mongolia. Accordingly, continuous ambient noise data for about one …
Multi-Modal Tensor Fusion For Alzheimer’S Disease Recognition, Mason Li, Tiffany Le, Jiajing Huang, Yuxin Wen
Multi-Modal Tensor Fusion For Alzheimer’S Disease Recognition, Mason Li, Tiffany Le, Jiajing Huang, Yuxin Wen
Engineering Faculty Articles and Research
Accurate and early diagnosis of Alzheimer’s disease (AD) is critical for effective intervention, disease monitoring, and patient care. Traditional diagnostic approaches rely on a single modality, such as clinical assessments, neuroimaging, or genetic markers, which may fail to capture the complex, multifaceted nature of AD. Multimodal learning has therefore been explored to integrate complementary information across data sources. However, conventional fusion strategies, including early feature concatenation and late decision-level fusion, often model modalities independently and fail to capture high-order cross-modal interactions. To address these limitations, we propose a multimodal tensor fusion network (MTFN) that integrates heterogeneous data sources, including visual …
Mould Risk Prevention In Healthcare Facilities In Hot And Humid Climates Through Acmv Air Supply Parameter Optimisation: Development And Validation Of A Multi-Objective Optimisation Framework, Jiang Kaiyun
Student Works (2020-2029)
Air conditioning mechanical ventilation (ACMV) supply parameters—such as airflow rate, temperature, and humidity—significantly influence indoor thermal and hygrometric conditions, influencing airflow patterns and mould proliferation. In healthcare facilities, mould poses significant health risks, particularly for immunocompromised patients, contributing to respiratory issues, allergic reactions, and infections. While ACMV systems are central to infection control and indoor air quality, conventional designs often fall short in hot and humid climates. Existing practices typically prioritise high air change rates (ACH) without sufficient dehumidification, underestimate humidity control, and assume spatial homogeneity, overlooking microclimates conducive to localised mould growth. To address these limitations, this research develops …
Drone Based Operational Cloud Seeding, Jared Smith
Drone Based Operational Cloud Seeding, Jared Smith
Spring Runoff Conference
Cloud Seeding: Next Generation Operations and Validation
What is Winter Cloud Seeding?
- The act of introducing favorable dust particles into a cloud to promote ice crystal nucleation
- Requires naturally occurring clouds and cold temperatures
- Aimed at enhancing winter snowpack
Great Salt Lake Basin Integrated Plan – Longterm Actions, Jake M. Serago
Great Salt Lake Basin Integrated Plan – Longterm Actions, Jake M. Serago
Spring Runoff Conference
GSL’s water level is in long-term decline. Water users face shortages and challenges. Increased temperatures, greater precipitation extremes and population changes are stressing water supplies in the basin. 84% of Utah residents think the Government is accountable for resolving issues facing GSL.
Agricultural Water Leasing Opportunities & Updates, Hannah Freeze
Agricultural Water Leasing Opportunities & Updates, Hannah Freeze
Spring Runoff Conference
The framework for this leasing program is based on depletion savings from conservation practices not surplus or tailwater
Pheasant Forever Loan Program, Will Benkelman
Pheasant Forever Loan Program, Will Benkelman
Spring Runoff Conference
Bear River Watershed Community Conservation Program
Our Mission: Pheasants Forever (PF) and Quail Forever’s (QF) mission is to conserve pheasants, quail, and other wildlife through habitat improvements, public access, education, and conservation advocacy.
Logan River Watershed Draft Environmental Impact Statement, Zan Murray
Logan River Watershed Draft Environmental Impact Statement, Zan Murray
Spring Runoff Conference
Agenda:
Program Overview: PL-566 & NEPA
Project Need and Purpose
Project Alternatives
Preferred Alternative Costs and Benefits
NEPA Timeline/Current Schedule
Questions
A Tangible Modeling Language For Systems Engineering, Maissane Aik
A Tangible Modeling Language For Systems Engineering, Maissane Aik
Student Research Symposium (SRS)
With the continuous growth of technology and system complexity, systems engineering plays a crucial role in ensuring performance, adaptability, and clarity across interconnected processes. Yet, as modeling tools become increasingly abstract and dependent on digital infrastructures, they have drifted away from the tangible, intuitive ways humans naturally think, communicate, and design. Current modeling approaches often require engineers to navigate numerous diagrams and layers of abstraction. To address the gap, this research will focus on creating a novel systems engineering language that reintroduces tangibility into system modeling. The proposed language will represent system elements as modular blocks that capture structure, behavior, …
Computational Study Of Slosh Dynamics And Active Slosh Damping In Spacecraft Propellant Tanks Equipped With A Magneto Active Propellant Management Device, Priyanshu Savaliya
Computational Study Of Slosh Dynamics And Active Slosh Damping In Spacecraft Propellant Tanks Equipped With A Magneto Active Propellant Management Device, Priyanshu Savaliya
Student Research Symposium (SRS)
The management of liquid propellant in microgravity remains one of the longest-standing issues in spacecraft design. Traditional passive damping techniques using baffles or diaphragms tend to add structural mass and complexity. The current study proposes a novel active slosh damping device which dynamically adjusts the rheology of the damper fluid using electromagnets, simulated in ANSYS Fluent, to actively manage and dampen slosh in an oscillatory excited cylindrical propellant tank. The electromagnetic fields are modulated through a User-Defined Function (UDF) that responds to force feedback simulated in real time via virtual load cells. In Fluent, the interface dynamics of xenon, fuel, …
Cache Water District Conservation Program, Autumn Matthews
Cache Water District Conservation Program, Autumn Matthews
Spring Runoff Conference
Conservation and Education Programs.
Conservation Goals:
Increase community awareness through outreach, workshops, and community programs that support water conservation.
Expand and improve programs that encourage water savings and more efficient water use across the community.
Help residents save money by promoting water efficiency and reducing unnecessary water use.
Water Supply Update, Jordan Clayton
Water Supply Update, Jordan Clayton
Spring Runoff Conference
Snowpack and Water Supply Conditions.
>95% of the water we use in Northern Utah comes from snow. Therefore, it’s critically important to quantify how much water is stored in our snowpack.
Legislative Summary Panel, Brian Steed, Scott Sandall, Jill Koford, Joel Ferry
Legislative Summary Panel, Brian Steed, Scott Sandall, Jill Koford, Joel Ferry
Spring Runoff Conference
Legislative updates provided at the Spring Runoff Conference 2026.
Water In 2026, Spencer Cox
Water In 2026, Spencer Cox
Spring Runoff Conference
Presentation by Utah Governor Cox.
A Causal Inference Methodology For Root-Cause Diagnosis In Nonstationary Industrial Time Series, Cansu Yalim
A Causal Inference Methodology For Root-Cause Diagnosis In Nonstationary Industrial Time Series, Cansu Yalim
Knowledge and Creativity Expo
Industrial fault diagnosis lacks a procedure that learns time-varying causal structure from observational time series, makes identifiability limits explicit, and uses intervention-based reasoning to support root-cause assessment under industrial constraints. Although predictive maintenance can reduce downtime, diagnosis is often expert-rule-based or association-driven; pipelines may elevate downstream symptoms alongside true drivers and provide limited guidance on which feasible action would change a fault trajectory under current operating conditions. Because operating phases and fault progression create regime shifts, industrial systems rarely follow a single stable mechanism. This study develops and evaluates a three-stage, regime-aware causal diagnostic protocol based on a time-varying Dynamic …
The Writing On The Wall: The Rise Of Applied Ai And The Life-Or-Death Choice Every Ceo Must Make Now, Gary Sheng, Ron Roberts
The Writing On The Wall: The Rise Of Applied Ai And The Life-Or-Death Choice Every Ceo Must Make Now, Gary Sheng, Ron Roberts
Digital Laboratory: Publisher of Internet Journal
Applied AI is putting AI to its highest and best use: running your organization as autonomously as possible so you can deliver value for humanity while maximizing the scale of the value. The economy is splitting. Organizations that adopt applied AI are expanding their capacity, accelerating their impact, and pulling ahead. Those that don't are quietly becoming irrelevant, not because they're doing bad work, but because the gap between what they can do and what the moment requires is widening every day. This is not a technology question. It is a leadership question. This paper is written for organizational leaders, …
Photoplethysmography For Measuring Cognitive Load In Xr Environments: A Systematic Review, Alya Alshehhi, Qammer H. Abbasi, Rami Ghannam
Photoplethysmography For Measuring Cognitive Load In Xr Environments: A Systematic Review, Alya Alshehhi, Qammer H. Abbasi, Rami Ghannam
School of Engineering Technology Faculty Publications
Photoplethysmography (PPG) is a low-cost, low-power biosensing technology with growing applications in education, particularly for monitoring cognitive load in eXtended Reality (XR) learning environments. Measuring cognitive load is critical for preventing overload and optimising immersive learning, yet existing approaches such as self-reports or Electroencephalography (EEG) are often intrusive, costly or impractical for real-time use. This systematic review is the first to synthesize a decade of research (2015–2025) on the use of PPG for cognitive load measurement in XR. Twenty-three studies were identified and analysed according to PRISMA guidelines, with attention to sensor placement, integration with other modalities, research design, and …