Engineering Commons^™

Regulation Of Tgf-Β1–Induced Epithelial–Mesenchymal Transition By Integrin Inhibition, Wesam Elhawabri

Theses and Dissertations

Epithelial–mesenchymal transition (EMT) is a critical process underlying cancer progression, fibrosis, and tissue remodeling, characterized by coordinated changes in cell morphology, nuclear structure, and extracellular matrix (ECM) organization. Transforming growth factor beta 1 (TGF-β1) is a primary inducer of EMT; however, the extent to which integrin-mediated signaling and ECM remodeling regulate these structural changes remains incompletely understood. In this study, we quantitatively investigated EMT-associated remodeling in A549 lung carcinoma cells and MCF10A epithelial cells following TGF-β1 stimulation. Cells were cultured on ECM-coated substrates and treated with TGF-β1 in the presence or absence of integrin-targeting inhibitors (ATN-161, 28-G11, and STX-100). Im …

Timing And Stability Of Uav Operations In Smart City Environments: Experimental Analysis And Design Implications, Rabia Ipek Yasar

Theses and Dissertations

This thesis investigates the deployment and performance of unmanned aerial vehicles (UAVs) within the Virginia Commonwealth University Open Cyber City (OCC) testbed. The study focuses on evaluating real-time indoor positioning performance using the Crazyflie drone platform. High-precision position measurements are obtained using the Vicon motion capture system, enabling analysis of the latency between the drone’s actual position and the system-reported position. In a closed-loop control system, the time difference between the position measurement and the application of the control command is called the system delay. Both stationary (hovering) and trajectory-following experiments are conducted to evaluate system performance. Communication delays in …

Contours Of Duration: Movement Authored Through Form—A Behavior Archive, Jood Senussi Elbeshti

Theses and Dissertations

Insect anatomy offers an elegant example of motion derived from structure. Inspired by insect movement, Contours of Duration employs a cam-and-follower system consisting of moving, leg-like parts, designed to engage a series of rotating cams, such that the shape of each cam’s surface activates the legs in unique ways, generating repetitive movement, and demonstrating how geometry produces distinct motion behaviors over time. Through iterative experimentation and controlled variation, trace emerges as a central methodology, whereby movement, over time, creates a distinct pattern of marks, making motion legible and reflecting how subtle changes to surface and form generate different behavioral outcomes. …

Nanomagnet Based Reservoir Computing And Quantum Control, Fahim F. Chowdhury

Theses and Dissertations

Conventional CMOS scaling has driven remarkable advances in computing but faces increasing physical and energy constraints, motivating alternative computing paradigms that integrate memory and computation while improving energy efficiency. Nanoscale magnetic systems offer a promising platform for such approaches because their intrinsic nonlinear dynamics and localized magnetic fields can support both classical and quantum information processing. This thesis investigates nanomagnetic systems for physical reservoir computing and, with primary emphasis, for localized quantum control of spin qubits.

The first part explores dipole-coupled nanomagnet arrays as physical reservoirs. Micromagnetic simulations demonstrate nonlinear dynamical behavior with high short-term memory and parity-check capacity, enabling …

Empirical Dynamical Modeling Of Cortico-Hippocampal Information Transfer During Memory Encoding, Sam Y. Cole

Theses and Dissertations

Understanding how brain dynamics support successful memory formation remains a central challenge in neuroscience. This dissertation applies tools from empirical dynamical systems theory to investigate the neural mechanisms underlying episodic encoding, with a focus on cortico-hippocampal interactions. Using stereoelectroencephalography (sEEG) data recorded during a delayed free recall of word lists task, this work reveals nonlinear, state-dependent shifts in directed information flow between cortex and hippocampus that distinguish successful from unsuccessful encoding. To further characterize these dynamics, state-space trajectories are reconstructed using time-delay embedding and recurrence-based methods, and features derived from these trajectories are used to classify memory outcomes. By integrating …

Modeling Of Laser-Produced Plasma Plumes: Expansion, Chemistry, And Thin-Film Deposition, Edmund Tsiri Semaha, Edmund Tsiri Semaha

Theses and Dissertations

Abstract

Laser-assisted material processing involves coupled plasma expansion, chemical reactions, and particle transport that govern the quality of thin-film deposition. This dissertation presents a comprehensive computational investigation of these processes using the OpenFOAM framework. First, the performance of the twoPhaseEulerFoam (tPEF), rhoCentralFoam (rCF), and sonicFoam (sF) solvers is evaluated for modeling laser-produced plasma plume expansion under atmospheric conditions, demonstrating that tPEF accurately captures shock-wave propagation, hydrodynamic behavior, and multispecies interactions. Building on this validation, the reactingFoam (rF) solver is employed to investigate the chemistry of aluminum plasma expanding into an air environment (Al–N₂–O₂). The model incorporates appropriate thermodynamic, transport, and …

De Novo Protein Binding To Zinc Oxide Through Biomineralization Pathways, Jean-Mark A. Francis

Theses and Dissertations

De novo proteins are structurally distinct from proteins found in nature and thus capable of having their amino acid sequence modified to accomplish tasks such as increasing protein-nanoparticle binding without unfolding or decomposing. Zinc Oxide nanoparticles are functionally distinct from their bulk counterparts and are widely used as semiconductors in a variety of fields such as medicine and agriculture. With demand for these nanoparticles increasing, environmentally sustainable methods of Zinc Oxide nanoparticle synthesis are being investigated as an eco-friendly alternative to currently utilized but environmentally hazardous chemical and physical techniques. This research investigates the binding characteristics between Zinc Oxide nanoparticles …

Cybernest: A Step Forward For Training Cybersecurity Professionals, Justin Mott

Theses and Dissertations

The growing complexity of cyber threats has exposed a critical gap between academic cybersecurity education and the operational demands of the workforce. This thesis presents a pilot study for a use-case of CyberNEST, a simulation-based training platform that integrates adversary emulation and threat-informed learning to create realistic, hands-on experiences for cybersecurity students.(17) The system was designed to replicate Security Operations Center (SOC) environments and incident response workflows, allowing participants to investigate, analyze, and respond to simulated attacks under authentic conditions. This pilot-study performed training simulations using the CyberNEST platform, developed by Brigham Young University, with students, collecting data from pre- …

Evaluating The Performance Of The Primary Heat Exchanger In A Sco2 Brayton Cycle While Firing Solid Fuels, Brian Jeffrey Schooff

Theses and Dissertations

The sCO2 closed-loop Brayton cycle is an alternative to the standard steam-Rankine cycle for generating electrical power from a heat source. The sCO2 Brayton cycle is advantageous because it can be more efficient, use less water, and have smaller turbomachinery than the steam-Rankine cycle. While there are several research groups advancing the technology necessary to utilize the sCO2 Brayton cycle on an industrial scale, none of these groups use solid fuel combustion as the heat source. A Brigham Young University-led project developed and tested a pilot-scale sCO2 Brayton cycle unit (1.6 MWth) using natural gas, pulverized coal, and pulverized biomass …

Cavitation On Superhydrophobic Propellers, John Tyson Danby

Theses and Dissertations

This thesis investigates the impact of superhydrophobic (SH) surface treatments on the cavitation behavior of small-scale marine propellers. Cavitation, the formation of vapor cavities in liquid due to local pressure reductions, can lead to efficiency losses, noise, and structural damage in marine propulsion systems. Although SH surfaces have shown promise in reducing drag and altering nucleation behavior in static or low-speed flow contexts, their effect on cavitation onset in rapidly rotating propellers remains underexplored. To address this, eight 1-inch aluminum propellers were tested, including variations in pitch, solidity, and blade number. Each design was produced in two versions: one treated …

Cyclic Testing Of Special Moment Frame Connections With Buckling-Restrained Fuse Plates, Jeremiah John Merrell

Theses and Dissertations

This thesis presents the development and evaluation of a new special steel moment frame connection that employs replaceable buckling-restrained fuse plates that can enhance seismic performance and post-earthquake repairability. A total of eight unique specimens were tested on two series of beam-to-column subassemblies (W36 and W24) to investigate connection behavior under cyclic loading. The experiments examined the influence of fuse plate geometry, bolt configuration, and buckling-restraints on strength, ductility, and deformation capacity. Results indicated that the buckling-restraint washers and bolts were effective at preventing out-of-plane buckling. Specimen M1.5 was successful in meeting the AISC 341-22 qualifications requirements for special moment …

Validation Of A Mesh-Based Computational Fluid Dynamics Model, The Generataion Of Reference Wake Mixing Data, And A Preliminary Comparison To A Lagrangian Vortex Based Model, Justin Don Hawkins

Theses and Dissertations

Three things are accomplished in this work. First, a verified wind turbine model is developed for both turbulent and non-turbulent flows. The verified model is created using AMR-Wind, a mesh-based CFD solver which uses an actuator line model to represent the turbine blades. Second, a database of turbine forces and wake data is compiled using the verified wake model. This data is collected for simulations of two turbines operating in close proximity to one another in various configurations. When the wake of one turbine interacts with another, wake mixing occurs. Wake mixing affects turbine performance and is important for predicting …

Enhancing Fuel Performance Of Molten Salt Reactors Through Improved Thermophysical Property Data, High-Fidelity Simulation, And Advanced Control Strategies, Jackson Seth Ivory

Theses and Dissertations

The deployment of molten salt reactors (MSRs) as next-generation nuclear technology requires accurate thermophysical property data, validated system models, and advanced control strategies to ensure safe and economically competitive operation. This dissertation, Enhancing Fuel Performance of Molten Salt Reactors Through Improved Thermophysical Property Data, High-Fidelity Simulation, and Advanced Control Strategies, integrates experimental measurements, thermal hydraulic simulation, and model predictive control (MPC) to enhance understanding of MSR fuel behavior under steady state and transient conditions. New density and heat capacity measurements of UF4-FLiNaK molten salts were obtained using Archimedean and differential scanning calorimetry methods, respectively, to address critical gaps for fueled …

Utah Lake From Space: Analysis Of Sentinel 2 And Modis Data Shows Spatiotemporal Trends And Patterns In Chlorophyll-A, Turbidity, And Temperature, Kaylee Brook Tanner

Theses and Dissertations

Harmful algal blooms (HABs) are a serious and growing risk to waterbodies around the world. Excessive algal growth, especially when it involves cyanobacteria, impairs the functioning of aquatic ecosystems and threatens the health of humans and animals using the water. There is currently great interest in developing effective prevention and mitigation strategies for these blooms, particularly in ecologically and economically vital freshwater lakes. Such development, however, requires detailed understanding of HAB drivers and dynamics, which can be highly complex and difficult to characterize. High-frequency, high-resolution imagery from earth observation satellites provides spatially and temporally comprehensive data on global lakes--data which …

Characterizing Temperature-Dependent Properties Of Fat For Improving High Intensity Focused Ultrasound Simulations, Brian Easthope

Theses and Dissertations

High-intensity focused ultrasound (HIFU) is a non-invasive therapeutic technique that relies on the precise delivery of acoustic energy to ablate diseased tissue. The presence of subcutaneous fat can significantly alter focal accuracy and treatment efficiency due to its distinct thermal and acoustic behavior. This study characterized the temperature-dependent thermal conductivity, thermal diffusivity, specific heat capacity, acoustic attenuation, and acoustic velocity of human subcutaneous fat to improve pretreatment modeling for HIFU therapies. Measurements were performed using a dual needle probe for thermal conductivity and diffusivity, differential scanning calorimetry for specific heat capacity, radiation force balance for attenuation, and through-transmission methods for …

Measuring And Modeling Nonlinear Vibrations In Structures With Mechanical Joints, Suzanna Gilbert

Theses and Dissertations

Many assembled structures have bolted or riveted joints. Aside from providing a convenient method of assembly, mechanical joints have an important effect on the structure's dynamic response to its environment. Friction and microslip within the joints help to damp out unwanted vibration. However, the joints also introduce nonlinearity into the response. Most notably, the natural vibrational modes of the structure no longer have constant natural frequencies and damping ratios. Rather, they shift as a function of vibration amplitude. Several methods exist to characterize the dynamics of nonlinear systems, yet they are generally validated on simple benchmark structures, and many still …

Inelastic Behavior Of Three-Story Buildings With Concrete-Filled Composite Plate Shear Walls Subjected To Wind Loads, Joshua John Blom

Theses and Dissertations

Although elastic design of the main wind force resisting system in a building is the conventional approach it is not always desirable. In this study, nonlinear static and dynamic analyses are used to predict the inelastic behavior of a three-story building with concrete-filled composite plate shear walls subjected to wind loads. To explore the potential for inelastic design, two types of planar composite shear wall buildings are examined: individual shear walls designed using an elastic approach, and coupled shear wall pairs designed using an inelastic approach adopted from seismic design provisions. Nonlinear static "pushover" analyses are run using an assumed …

Experimental Testing Of Axially Loaded Fuse Plates Without Continuous Buckling Restraint, Rebekah Elizabeth Higgins

Theses and Dissertations

Current seismic design practice is to design structures to avoid collapse and protect life. Buildings are designed to resist seismic loading through strength and ductility. In moment frames, this ductility traditionally comes from inelastic deformation of beams. Moment frame connections move inelastic deformation away from the column and allow a plastic hinge to form in the beam. This plastic hinge prevents collapse but leaves the building difficult to repair. Some proprietary moment frame connections address this issue with replaceable fuse plate connections. These fuse plate connections move the plastic hinge out of the beam and into the replaceable fuse, allowing …

Quantifying Benefits Of Biochar With Variable Absorption Capacity As A Partial Cement Replacement In Concrete, Benjamin Shannon

Theses and Dissertations

Extensive research has been conducted on biochar-incorporated concrete. However, no concrete mixture design guideline is currently available for implementing biochar incorporation in practice. The objective of this study was to correlate biochar absorption capacity with the compressive strength of biochar-incorporated concrete, to quantify the benefits of biochar and develop mix design guidelines. Biochar with varying absorption capacities was incorporated into concrete at 10%, 20%, and 40%. Strength and moisture loss were recorded over the 90-day curing period of the biochar-incorporated concrete. Results revealed three main findings: (1) in 10%, 20%, and 40% biochar mixes, the normalized strengths ranged from 0.65–0.85, …

Evaluating Three Lightweight Airfield Matting Systems Under F-35b Aircraft Loading, Brett D. Cobb

Theses and Dissertations

Aircraft matting has been in service since WWII. It has provided a maneuverable substrate to allow aircraft forward operations to take place in austere environments. AM2 is the main matting system that has been used for generations. In recent years, the need for a lightweight matting system has come to the forefront of the matting community. This is not only to improve the maneuverability, but also the shipping restrictions. This research is on three different light weight matting systems above subgrade with two CBR values (i.e., 6 and 25). A specially designed load cart was adopted to simulate F-35B loading. …

Use Of Mid-Infrared Spectroscopy For Estimating Soil Chemical, Physical, And Hydrological Properties In Mississippi And Texas, Kanthake Yasas Bandara Gamagedara

Theses and Dissertations

Accurate and efficient estimation of soil properties is essential for advancing sustainable agriculture, water management, and soil survey applications. Traditional laboratory methods and pedotransfer functions (PTFs) are widely used but are often constrained by high costs, time requirements, and limited scalability. As an alternative, mid-infrared (MIR) and visible–near-infrared (vis–NIR) spectroscopy provide cost-effective, rapid, and non-destructive approaches for soil analysis. However, variability among spectrometer types, geographic regions, and soil scanning conditions poses challenges to model transferability and generalizability. This dissertation evaluated strategies to overcome these challenges and enhance the prediction of soil chemical, physical, and hydrological properties in Mississippi and Texas. …

A New Model For Predicting Two-Zone Parameters Based On Geometric Modifications In Computational Fluid Dynamics Simulations, Jason B. Metten

Theses and Dissertations

This study uses Computational Fluid Dynamics (CFD) to create a new and improved model for key Two-Zone modeling parameters, 𝜒 and 𝛿2𝑝. It explores how geometric changes to centrifugal compressors impact these modeling parameters. While centrifugal impellers are an important part of many systems, the flow through such impellers is inherently complex, making performance often difficult to predict. There are many approaches for modeling this complex flow environment, one method being the Two-Zone model developed by Dave Japikse. Values for 𝜒 and 𝛿2𝑝 are often determined from data obtained from test rigs or correlations. In this study high-fidelity CFD simulations …

Exploring The Impact Of Incorporating Artificial Intelligence Integrated Systems In The Workplace, Catherine Cruz Agosto Noda

Theses and Dissertations

This study focuses on assessing the impact of incorporating systems integrated with in the workplace by assessing the constructs of usability, cognitive load, and trust. The constructs are assessed by generation and experience level to determine which factors are relevant in a workplace setting. A workplace scenario was simulated by asking participants to complete tasks where they assumed the role of a warehouse manager assigned with assessing two scheduling systems – one with artificial intelligence and one without artificial intelligence. The participants were presented with three tasks of increasing difficulty for each prototype. Both quantitative and qualitative measures were used …

Physics-Informed Neural Network For Maximum Detectable Distance Estimation In Mobile Gamma Spectrometry, Nancy A. Ibrahim

Theses and Dissertations

Accurate estimation of the Maximum Detectable Distance (MDD) is critical for environmental remediation, nuclear incident response, and public safety. Conventional approaches assume stationary detectors and rely on computationally intensive simulations, limiting their applicability for mobile, real-time surveys. Mobile gamma spectrometry introduces additional complexities due to detector motion, variable acquisition times, and heterogeneous backgrounds. This study addresses the central question of how effectively a Physics-Informed Neural Network (PINN) can estimate MDD for mobile gamma spectrometry, while maintaining both accuracy and computational efficiency under dynamically changing environmental conditions. A multi-phase approach was employed, combining field data collection, computational modeling, and operational tool …

Dem Simulations For Tractive Performance Of Rigid Wheel In Granular Media, Aidan Noah Dickerson

Theses and Dissertations

Accurately predicting vehicle mobility in granular media is essential for evaluating off-road mobility in agriculture, defense, and planetary exploration. Traditional empirical models often fail in capturing complex micromechanics of soil deformation, especially under dynamic conditions such as high slips and maneuvering. This study demonstrates the value of the discrete element method (DEM) in modeling wheel-soil interactions with higher fidelity. Using Altair EDEM and pre-calibrated GEMM materials, simulations were conducted for a range of forward (-5.9% to 54.8%) and side slip angles (3°, 6°, 12°) in dry sand. DEM enabled detailed analysis of sinkage, traction forces, and lateral loads, revealing trends …

Analysis Of Trends From Mass Concrete Case Studies, Bradford Songer

Theses and Dissertations

While conventional mass concrete is well understood, high strength and ultra high performance concrete present unique challenges when placed in large volumes. This thesis compiles and analyzes thermal data from mass high strength and ultra high performance concrete placements collected over the past eight years by the U.S. Army Corps of Engineers in support of military construction projects. The datasets span a wide range of material types and volumes. The analysis identifies trends in temperature development, temperature differentials, and the influence of mixture constituents on heat generation. This thesis contributes to the improved understanding of thermal behavior in mass concrete. …

Optimizing Military Fighter Jet Selection: A Decision Analysis Approach For Nuclear-Capable Aircraft, Eni Kelechi Ofong

Theses and Dissertations

This research investigates the strategic decision-making process involved in selecting a nuclear-capable fighter aircraft for NATO (North Atlantic Treaty Organization) nations in Europe. In adaptation to the continuously changing technology landscape and the necessity for enhanced deterrence capabilities, this study evaluates three potential aircraft: the legacy Panavia Tornado (PA-200), the widely deployed F-16 Fighting Falcon (F-16), and the advanced F-35 Lightning II (F-35). Each platform presents distinct advantages and limitations regarding operational performance, mission adaptability, cost-effectiveness, and long-term sustainability. To systematically assess these alternatives, the study employs various decision analysis frameworks, including Multi-Criteria Decision Analysis (MCDA), single dimensional value function …

Electrospun Nanofiber Creation With Varying Polymer-Solvent Combinations For Air Filtration, Lancaster Jace Hill

Theses and Dissertations

This study aims to analyze various polymer-solvent combinations for electrospun creation of nanofiber media and to determine the best-suited solution for lab-grade electrospinning. Suitable solutions allow for controlled morphology of fiber diameters and for efficiency of media creation. The principal variables are solvent, concentration, and voltage. Humidity and temperature play a secondary variable role. The solution must withstand an electric field of ≤30 kV and be insoluble in water to maintain desired morphology and structure. Manipulation of the solutions and variables allow for fiber diameter optimization and beading minimization. High temperature filter applications require efficiency in intense heat and preservation …

Considerations For Cottonseed Oil As A Feedstock For Renewable Fuels, John Elmore

Theses and Dissertations

As the world population grows and the standard of living improves in developing countries, global energy demand will continue to rise, with energy use in the developing world expected to increase dramatically more than the per capita reductions in developed countries from efficiency improvements. Nearly a third of the total global energy demand is used for transportation, resulting in a substantial contribution to greenhouse gas (GHG) emissions. While the demand for energy rises, initiatives and regulations are underway to mitigate the amount of GHG emissions to Earth’s atmosphere. As efforts progress in industry, governments, and society to reduce the total …

Development And Validation Of A Machine-Learned Actuator Line Model For Rotors, Joshua L. Bowman

Theses and Dissertations

This dissertation develops and validates a machine‑learned (ML) actuator line model (ALM) as an advancement in rotor modeling that can be applied to diverse engineering applications. The model addresses two standard ALM limitations: dependence on pre‑tabulated lift and drag coefficients and the inability to represent unsteady inflow. The ML‑ALM is trained on a hydrokinetic blade‑resolved simulation database of blade‑element forces under unsteady conditions, and is queried at run time to supply axial, tangential, and spanwise forcing at each actuator element. Validation covers solitary rotor performance and wake predictions against experimental data, and verification in an inline configuration against blade‑resolved simulations …