Engineering Commons^™

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Spring Runoff Conference

Legislative updates provided at the Spring Runoff Conference 2026.

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

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

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

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 …

Marine Vehicle Dynamics Using Koopman Operator Theory With Hybrid Observables, Mikhalib A L Green

LSU Master's Theses

Accurate modeling of marine vehicle dynamics remains challenging due to strong nonlinear hydrodynamic effects, environmental disturbances, and sensitivity to configuration changes, particularly for small-scale platforms. Classical physics-based models require extensive parameter identification and often exhibit degraded performance outside narrow operating regimes, while purely data-driven approaches may lack structure or impose high computational cost. This thesis presents a data-driven Koopman operator framework with hybrid observables for modeling the dynamics of unmanned marine vehicles. The proposed approach combines structured monomial observables with a learned neural network embedding to construct a lifted state representation in which the nonlinear vehicle dynamics are approximated by …

Large-Scale File Fragment Classification Via Multi-View Learning, Samuel Hildebrand

LSU Master's Theses

File reassembly is one of the most fundamental tasks in digital forensics, enabling recovery of data from potentially damaged storage media even when file system metadata is unavailable. This thesis reviews more than two decades of work in the realm of file carving, with a particular focus on fragmented file carving, which remains a focus of research, and file fragment classification, a principal component of fragmented file carving. This thesis serves a literature review of both file carving and fragmented file carving, surveys the massive amounts of data needed for the task of fragment classification and the datasets that serve …

Geometry-Driven Controls On Hydrothermal Natural Hydrogen Generation From Magnetite Mineral, Kaveh Moghanirahimi, Lionel Esteban, Valeriya Shulakova, Muhammad Ali, Stefan Iglauer, Alireza Keshavarz

Research outputs 2022 to 2026

Despite recent efforts to investigate hydrothermal natural hydrogen production from magnetite, the effects of sample geometry and surface area on hydrogen yields remain inadequately characterized. This study compares hydrogen production from natural magnetite prepared as an intact slab versus fine powder under identical experimental conditions (pH 9, 200 °C, 103.4 bar, 60 days). The results show that magnetite powder yielded 0.052 mmol g−1 rock hydrogen, approximately fivefold higher than the slab. Comprehensive characterization of the magnetite slab revealed increased surface roughness after reaction. Quantitative XRD analysis showed substantial phase conversion from magnetite to hematite, consistent with oxidation of Fe2+ to …

Rigorous Electromagnetic Beamforming Simulations For Realistic Vehicular-To-Infrastructure (V2i) Scenarios In 5g Systems, Mohanad Hussam Aldean Ahmed Almuzian

Theses and Dissertations

Millimeter-wave (mmWave) Vehicle-to-Infrastructure (V2I) communication is a key enabling technology for next-generation intelligent transportation systems, offering high data rates and low latency to support safety-critical and autonomous driving applications. However, mmWave communication at 28 GHz suffers from severe path loss, sensitivity to blockage, and strong dependence on antenna directivity and beam alignment, particularly in complex urban environments. As a result, advanced beamforming and multi-antenna techniques are essential to ensure reliable and high-capacity V2I links. This thesis investigates mmWave V2I communication performance using realistic electromagnetic modeling and beamforming techniques. Full-wave antenna simulations and deterministic ray-tracing are employed using Ansys Electronics Desktop, …

Investigation Of Process Parameters To Fabricate Tiwmo Refractory Medium Entropy Alloy Via Laser Powder Bed Fusion, Abdullah Al Masum Jabir, Lindsey A. Salazar, Jianzhi Li

Manufacturing & Industrial Engineering Faculty Publications

This paper presents an experimental study on the fabrication of a TiWMo refractory medium-entropy alloy (RMEA) using laser powder bed fusion (PBF-LB/M, commonly known as selective laser melting) from elemental powders as well as successful alloy formation on titanium substrates. The effects of tungsten particle size and process parameters on successful TiWMo RMEA fabrication have been explored using scanning electron microscopy (SEM), x-ray diffraction, hardness measurement and microstructural analysis. Scanning electron microscope (SEM) analysis revealed that the lowest percentage (0.01%) of unmelted tungsten particles was observed at a laser power of 350 W and scanning speed of 250 mm/s, particularly …

Arid: Agglomerative Regionalization Via Information Divergence, A Novel Clustering Algorithm For Geo-Spatial Data, Joshua David Sills

Dissertations and Theses

Regionalization is a clustering problem that seeks to partition geospatial data into geographically contiguous regions while remaining internally homogeneous in their attributes. It has been successfully applied towards the development of urban planning, natural resource discovery, and ecological analysis. Existing popular approaches optimize homogeneity using Euclidean or variance-based criteria, which ignore distributional differences such as variance shifts, multimodality, and higher-order dependence. This thesis introduces ARID (Agglomerative Regionalization via Information Divergence), a spatially constrained agglomerative clustering framework that replaces distance-based merging with an information-theoretic, Ward-like criterion that utilizes the Kullback-Leibler (KL) divergence. ARID constructs a neighborhood graph from coordinate space and …