Engineering Commons^™

Investigation Of Skid Resistance On Asphalt Pavements In Utah, Aaron B. Smith

Theses and Dissertations

Friction is one of the essential aspects of pavement performance and safety. Unfortunately, the rate at which the friction data are being collected exceeds the rate at which the data can be proficiently analyzed. Furthermore, the Utah Department of Transportation (UDOT) lacks long-term trend analysis for the many years of locked-wheel skid trailer (LWST) data collected in Utah. In addition, UDOT is missing a statistically adequate correlation equation between friction-testing devices. Likewise, only one method is used in Utah to prequalify aggregates for use in pavements. Finally, there has not been an investigation of the potential use of lithium silicate …

Detecting Cybersecurity And Behavioral Anomalies In Smart Grid Substation, Anfal Yahya Hathah

Theses and Dissertations

Due to the increasing number of cyberattacks on smart grid networks globally in the last decade, maintaining a stable electric power supply has become increasingly challenging. The shift from traditional means of measurement instrumentation to smarter devices in electrical substations is experiencing increasing incidents of intrusion. Defense against those intrusions is now a global trending research topic and is attracting governments’ attention. Various techniques have been developed to mitigate the effect of cyberattacks on national power grid systems. The state estimation technique has proven its capability in detecting random false data-injection attacks (FDIAs). However, attackers may have considerable knowledge of …

Carbon Fiber Interleaved Polyester Laminate Strength Testing With Correlation In Finite Element Simulations, Hieu Le Huynh

Theses and Dissertations

Delamination of composite structures under impact conditions has been a catastrophic and economic issue in the past and is still a problem today. Many techniques have been used to improve the toughness in composite laminates. An example of a previous dissertation was performed by Adnan Gheryani titled: “Analysis of Polyester Interleafs for Toughness Enhancement in Composite Structures.” Gheryani’s study shows that adding in polyester interleafs into composite laminates made primarily from carbon fiber fabric adds ductility and resists crack growth after delamination, which leads to improvement of the overall toughness of the laminate. However, improvements in toughness, strength, and stiffness …

Efficient And Scalable Algorithms For Estimating Structural Properties Of Large Graphs, Shiju Li

Theses and Dissertations

Large complex networks and graphs are everywhere. Examples include social networks, web graphs, communication networks, power grids, and transportation networks. The ongoing rapid expansion of such networks has triggered a tremendous amount of attention in various disciplines. Estimating the structural and topological properties of the large complex networks has been at the heart of the understanding of the networks. However, such estimations often become technically challenging. This dissertation is focused on how to estimate three non-trivial structural quantities on large networks efficiently and scalably by transcending the current state-of-the-art algorithms. The structural quantities to estimate are (1) a function of …

Complexity Analysis And Parallel Implementation Of The Well Optimized Linear Finder (Wolf) Atmospheric Turbulence Compensation (Atc) Algorithm On Gpu Technology With Comparative Analysis Of Traditional Phase Diverse Atc Methods, Yang Xin

Theses and Dissertations

A new high-speed, high-accuracy general transfer function estimation method for diversitybased problems, known as the Well Optimized Linear Finder Algorithm (WOLF Algorithm), has been developed [1]. Compared to the traditional phase diversity ATC methods, the WOLF Algorithm has less computational complexity and better approximation of the Optical Transfer Function (OTF) and consequently the entrance pupil phases. We compare the time complexity between the traditional Phase Diversity atmospheric turbulence compensation approach and the WOLF Algorithm. The results show that the WOLF Algorithm is dramatically faster than traditional phase diversity methods theoretically. We also implement the time complexity results of the WOLF …

Infrared Electric Field Enhancement Via A Hyperbolic-Metalens-Coupled Nanoantenna, Mohamed Jebril Kyamo

Theses and Dissertations

The development of near- and mid-infrared applications requires high enhancement of the electric field intensity (EFI) and a high absorption cross-section of the electric field. The high enhancement of EFI can be obtained by concentrating optical energy to areas much smaller than the diffraction limit or by using surface plasmon polaritons (SPPs). Noble metals such as gold (Au) or silver (Ag) are not feasible for infrared (IR) applications because of high losses, lack of tunability, low resolution, and low-intensity enhancement. Our methods to solve these problems are based on appropriate metamaterial selection and on coupling systems with optimization of their …

Low-Cost Carriers Versus Legacy Carriers: Passenger Preference During The Covid-19 Pandemic, Aaron Bushelle

Theses and Dissertations

The purpose of the current study was to identify whether passengers had a preference between traveling on low-cost carriers versus legacy carriers during the ongoing pandemic. Building off research conducted by another researcher, several dimensions were identified and utilized within the question items. For this research, the target population was persons residing within the United States who were at least 18 years old and have traveled since the start of the pandemic in the United States in January 2020. A questionnaire was distributed online, and convenience sampling was undertaken. A T-test was conducted, and results indicated that when it came …

Computer Vision And Machine Learning Applications In Cellular Images And Clinical Data, Guochang Ye

Theses and Dissertations

With the progressive development of artificial intelligence (AI), automated analysis has been explored for substituting tedious manual methods in cellular image analysis. Additionally, medical information not included in the conventional statistical methods is now being reconsidered with AI-based personalized medicine. The adaptivity and flexibility of AI ensure its efficiency and accuracy. In this work, computer vision and machine learning (ML) methods under the scope of AI are explicitly investigated and applied to cellular images and clinical data for cytological analysis and to provide diagnosis-based assistance/predictions. Firstly, novel computer vision algorithms achieve cell detection and differentiation estimation on phase-contact microscopic images …

Effects Of Orthopedic Implant And Host Bone Properties On Stress-Shielding Induced Osteopenia, Scott Jason Jan Baskerville

Theses and Dissertations

Stress shielding is a term commonly used in literature to describe a bone density reducing phenomenon which occurs due to long-term exposure of bone tissue to sub-homeostatic levels of mechanical stimuli. A number of mechanobiological models ranging in complexity and purpose have been developed with the general overall intent of predicting bone remodeling behavior under a set of prescribed conditions. A previously developed heuristic model is expanded in the present work through model calibration with physiological data and the development of a reduced bone-implant-construct (BIC) mechanical model configurable for patient factors such as age, gender, and associated bone properties. The …

Detailing Of Carbon Fiber Reinforced Polymer Anchorage For Shear Strengthening, Paul Joseph Ryan

Theses and Dissertations

Carbon Fiber Reinforced Polymers (CFRP) have increased in popularity in the repair and strengthening of reduced shear capacity of concrete bridges. Significant design challenges arise when using CFRP to repair or strengthen bridge girders as the top faces of girders are in contact with decking (i.e. the members cannot be fully wrapped). A full wrap laminates all faces with CFRP and ensures that the failure mode is governed by shear fracture combined with, or followed by, fracture of the CFRP. The Florida Department of Transportation (FDOT) Structural Design Manual permits three-sided wrapping schemes (i.e. U-wraps), but the CFRP must be …

A Probabilistic Fog Stability Index For Predicting The Occurrence Of Radiation Fog At U.S. Airports, Kelisha Ali

Theses and Dissertations

Fog is a phenomenon that is widely known to affect the aviation industry adversely, as evidenced by economic losses due to the hindrance of fog on airport operations. This is because fog has been a consistent cause for delays, diversions, and cancellations of scheduled commercial airline flights that have subsequently resulted in a substantial negative economic impact on the transportation industry as well as society. This study’s purpose was to determine suitable predictors of the occurrence of radiation fog at U.S. airports. It assessed an extant Fog Stability Index (FSI) and 1-Day Persistence model for their reliability in predicting radiation …

Electrically Conductive Bearing Adapter Polymer Pad For Use In Freight Railcar Service Applications, Jesse M. Aguilera

Theses and Dissertations

Many freight railcars rest on polymer adapter pads made of injection-molded Thermoplastic Polyurethane (TPU) polymers which feature two copper studs to provide electrical conductivity through the adapter pads, which power onboard systems. In service, pads experience impact and cyclic loading, resulting in wear and plastic compression of the copper studs. This leads to signal interruptions and periodic replacement of the polymer pads, which results in downtime due to maintenance and reduced reliability since pad failure is unpredictable. These limitations in the current design are the impetus to create an electrically conductive polymer adapter pad that does not rely on the …

Railcar Wheel Impact Detection Utilizing Vibration-Based Wireless Onboard Condition Monitoring Modules, Marco A. Barrera

Theses and Dissertations

The current limitations in established rail transport condition monitoring methods have motivated the UTCRS railway research team at UTRGV to investigate a novel solution that can address these deficiencies through wired, onboard, and vibration-based analytics. Due to the emergence of the Internet of Things (IoT), the research team has now transitioned into developing wireless modules that take advantage of the rapid data processing and wireless communication features these systems possess. This has enabled UTCRS to partner with Hum Industrial Technology, Inc. to assist them in the development of their “Boomerang” wireless condition monitoring system. Designed to revolutionize the way the …

Evaluation Of Accelerated Testing Methods To Predict The Effects Of Chemical Exposure On Mechanical Properties Of Polyester Composites In Municipal Wastewater Service, Roberto A. Garcia

Theses and Dissertations

Composite Access Products (CAP) is a company that is determined to replace traditional steel manhole covers with fiber reinforced polymer alternatives that have similar performance while also introducing several advantages. CAP can achieve this by manufacturing the polymer manhole covers using high-speed, high pressure compressing molding to produce lightweight, long-lasting, corrosive resistant covers. CAP’s composite covers have been approved for use by TXDOT in roadway zones. Despite this, they must now undergo more testing and verification for use in environments with highly corrosive elements such as sewage environments and waste processing plants. In these situations, the polymer manhole covers will …

Machine Learning Based Aerodynamic Shape Optimization, Noe Martinez Jr.

Theses and Dissertations

The coefficient of pressure distribution for various 2D airfoil geometries were found using source – vortex panel methods. The data obtained in these simulations was used in multiple machine learning models which would predict the airfoil geometry from a given coefficient of pressure distribution. The neural networks employed were fully connected feedforward networks with Levenberg – Marquardt backpropagation and one model employed Bayesian Regularization. A novel tool for optimizing airfoil shape for a given coefficient of pressure distribution was created which performed well during testing. These models serve as the first step in minimizing the conflict between aerodynamic and stealth …

Self-Diverting Nanofluid In-Situ Gelled Acid For Matrix Acidizing Applications In Carbonate Formations, Javier Alejandro Perez

Theses and Dissertations

The main purpose of this project is to develop a nanofluid system that would help to divert the injected acid from the main flow regime into a relatively lower permeability zone and being able to dissolve the rock significantly. The system is meant to successfully create acidic gel in-situ after injecting the fluid in solution. It is expected that by altering either pH, temperature or amount of reactants, the viscosity of the fluid can be controlled so that the gel can be broken at a desired time.

Tribological Characterization Of Nickel-Based Cold Spray Coatings For Aerospace And Industrial Manufacturing, Albert Alejandro

Theses and Dissertations

Cold Spray Additive Manufacturing (CSAM) is a sub-category of thermal spray technology where a metal powder is accelerated in a gas stream toward a metal substrate at high velocities, producing a metallurgical bond with the metal substrate on impact. The present study investigates the effect of Al2O3 additions on the tribological properties of nickel-based cold spray coatings deposited on aluminum 6061 for aerospace and industrial manufacturing. The tribological performance of the nickel-based cold spray coatings with and without Al2O3 additions was evaluated using an abrasive wear test based on the ball-crater technique. In addition, the wear and friction characteristics of …

An Experimentally Validated Finite Element Model Of Thermal Transient Response Of A Railroad Bearing Adapter, Javier E. Arroyo

Theses and Dissertations

Wayside hot box detectors (HBDs) are devices used to determine the health of railcar components such as bearings, axles, and brakes by monitoring the radiated temperature form these components. HBDs have been instrumental in reducing rail derailments in the decade, but the number of non-verified bearing removals has increased significantly. To combat these limitations, researchers have opted to use wireless onboard sensor devices directly mounted on the bearing adapter. The wireless onboard health monitoring system developed by the University Transportation Center for Railway Safety (UTCRS) utilizes temperature and vibration sensors to detect the condition of rolling stock. However, because the …

Cloth-Water Interaction For Air Humidification In Hdh Desalination, Alejandro Corona Martinez

Theses and Dissertations

The humidification-dehumidification (HDH) desalination technology is a promising desalination process that has the potential to provide cost-effective and environmentally friendly saltwater desalination, especially when combined with renewable energy sources. The working principle mimics the natural hydrologic cycle, involving the evaporation of seawater into water vapor (humidification) and condensation into freshwater (dehumidification). HDH desalination can be land-based or ocean-based. Some of the advantages of ocean-based systems include removing pretreatment processes, utilization of ocean energy (i.e. thermal and kinetic), and eliminating brine production. This study focuses on the design and experimental testing of a novel humidifier …

Forecasting Salinity In The Laguna Madre Using Deep Learning, Martin J. Flores Jr.

Theses and Dissertations

Salinity is an important metric in the Laguna Madre for establishing the long term health of the local ecological population. By utilizing Deep Learning (DL) techniques, the predicted and forecasted salinity in the Laguna Madre is generated from data provided by the Moderate Resolution Imaging Spectroradiometer (MODIS)-Aqua satellite.

Currently, only one other DL model has been used to forecast Sea Surface Salinity (SSS), being a Recurrent Neural Network (RNN). However, the RNN model requires the prediction of a full area of salinity to function.

As such, several model architectures were tested, with the best one, being a Multi-input MPNN, utilized …

Machine Learning Tools In The Predictive Analysis Of Ercot Load Demand Data, Md Riyad Hossain

Theses and Dissertations

The electric load industry has seen a significant transformation over the last few decades, culminating in the establishment and implementation of electricity markets. This transition separates electric generation services into a distinct, more competitive sector of the industry, allowing for the introduction of greater unpredictability into the system. Forecasting power system load has developed into a core research area in power and energy demand engineering in order to maintain a constant balance between electricity supply and demand. The purpose of this thesis dissertation is to reduce power system uncertainty by improving forecasting accuracy through the use of sophisticated machine …

Non-Negative Discriminative Data Analytics, Md Imrul Kaish

Theses and Dissertations

Due to advancements in data acquisition techniques, collecting datasets representing samples from multi-views has become more common recently (Jia et al. 2019). For instance, in genomics, a lymphoma patient’s dataset may include data on gene expression, single nucleotide polymorphism (SNP), and array Comparative genomic hybridization (aCGH) measurements. Learning from multiple views about the same objective, in general, obtains a better understanding of the hidden patterns of the data compared to learning from a single view data. Most of the existing multi-view learning techniques such as canonical correlation analysis (Hotelling et al. 1936) and multi-view support vector machine (Farquhar et …

Hydrologic Modeling Study To Determine Hydrologic Impact Of Resacas On The Lower Laguna Madre Watershed, Antonio L. Reyna

Theses and Dissertations

During a high intensity storm events, a series of catastrophic events occur. These catastrophic events include flooding and destruction of infrastructure. Engineers have determined a method to design for high intensity storms based off hydrologic analysis of previous storms. With this data engineers can determine the outflow of major rivers and streams that may impact infrastructure. By determining the watershed engineers can predict the flow of the water and as well as the location of the outfall. In the Rio Grande Valley, water quality is very important because after rain events stormwater from cities is carried out towards the Laguna …

Investigation Of A Simultaneaous Direct And Indirect Contact Dehumidifier Using Parallel Strings For Hdh Desalination, Josue Perez Perez

Theses and Dissertations

Freshwater is a limited and precious resource. Currently, half a billion people in the world face sever water scarcity all year round. Humidification dehumidification (HDH) systems have received special attention among the variety of small-scale desalination technologies due to its potential to create affordable and sustainable seawater desalination, especially when combined with natural power sources such as waves, wind, and solar rays. Improvements in the development of HDH desalination systems have been achieved in recent years. Nonetheless, the improvements that have received most attention focus on solar heaters and humidifiers. Dehumidification systems have often been adapted from air conditioning condensation …

Water Quality Monitoring To Assess Pollutant Loadings In Brownsville Ship Channel Watershed, Ivan Rene Santos Chavez

Theses and Dissertations

The Brownsville Ship Channel (BSC) was listed as an impaired waterway from 2010 to 2018 due to screening levels of bacteria concentration. This study aims to address water quality at the three main tributary ditches draining into Brownsville Ship Channel to model present along with future pollutant loads within Brownsville Ship Channel Watershed. Load Duration Curves (LDCs) and Spatial Explicit Load Enrichment Calculation Tool (SELECT) models were developed to determine if current pollutant loads meet water quality standards stablished by the Texas Commission on Environmental Quality (TCEQ), and to estimate average daily potential E. Coli loading contribution from sub-watersheds within …

Developing A Model-Based Approach To Forecast A Competitor's System, Christopher A. Del Vecchio

Theses and Dissertations

The purpose of this research is to develop a model-based approach to intelligence forecasting of a competitor’s system. This analysis currently uses a document-based practice to capture all knowledge of the forecast and its development. A framework of antithesis processes, or Anti-Processes, were derived from the systems engineering technical processes. This was then combined with analytical tradecraft from the field of competitive technical intelligence to build a SysML reference model, which was then applied to a small case study to enhance and refine the model. The Anti-Process framework and SysML reference model provide a rigorous, model-based approach to intelligence forecasts …

Computational Speed Improvement Of The Well Optimized Linear Finder (Wolf) Transfer Function Estimation Methodology For Phase-Diverse Atmospheric Turbulence Compensation (Atc) Applications Using Pre-Calculated, Parallel Complex Exponential Phase Difference Chains, Erlin He

Theses and Dissertations

The Well-Optimized Linear Finder (WOLF) high-speed, phase-dominant, transfer function estimation method was developed by Professor William W. Arrasmith at Florida Institute of Technology. The novel, high-speed, transfer function estimation method is robust and can be applied to atmospheric turbulence compensation (ATC)/blind deconvolution optical imaging problems. The WOLF methodology uses a diversitybased approach with an adapted error metric to quickly remove effects of atmospheric turbulence and system noise effects present in an incoherent, optical imaging system. In this research, we improve performance of the WOLF algorithm by investigating the impact of applying parallel processing technology to pre-calculate an expanding set of …

Flight Test Evaluation Of Piper Seminole, Brian-Emmanuel Hopeton Walters

Theses and Dissertations

After taking FTE 5702 – Stability and Control class, taught by Dr.Kimberlin, I understood the concept of using an aircraft and then testing how it handles in the air. Almost all flight tests done on aircraft are done by the manufacturer. Some aircraft may have a lot of comprehensive information available, while others have little to no information. It can also be hard to find the specific data that a pilot or owner desires. These various tests allow a greater understanding of aircraft stability and performance available for analysis and relating. The aircraft I flew during FTE 5702 class was …

Nanomechanical Characterization Of Vascular Tissue Using Atomic Force Microscopy, Ana Isabel Delgado Peralta

Theses and Dissertations

Cardiovascular morphogenesis and pathophysiology have been associated with the mechanical properties of the vessel wall. In this work, nanomechanical properties of diseased arteries and control groups were quantified using the Atomic Force Microscopy (AFM). Both tip sizes of 20nm and 5µm were used for examining the local and global stiffness. First, we measured the stiffness as a potential index factor of the mice’s aortic aneurysm. Results have shown the stiffness of mice aortic aneurysm is 58.84 ± 30.26 kPa, which is significantly different (P < 0.05) from the stiffness of the control group of 4.70 ± 17.41 kPa. This was attributed to the degradation of elastin fibers and increment of collagen deposition in the vessel as observed in the histological analysis. The lesion heterogeneity was illustrated by the stiffness gradient from 40 kPa to 1.2 MPa within a 2µm2 region. We also examined the stiffness of the diabetic rat aorta as a potential biomarker for disease progression. Results have shown a significantly higher stiffness of 70.25 ± 14.10 kPa in diabetic rat aorta, compared with 54.19 ± 14.15 kPa in the control group. Lastly, we characterized the human aortic calcifications to fill the knowledge gap of scarce datasets for calcification stiffness. Results have demonstrated the calcification stiffness as 61.5 ± 35 kPa, which is significantly larger than the stiffness of the control group of 12.0 ± 4.4 kPa. The stiffness variation was attributed to the percentage of calcium deposits, observed from the histological analysis. These nanomechanical characterizations could be further used for a better understanding of arterial adaptation and to provide insights for effective vascular therapies.

Cellular Migration As A Function Of Magnetic Field Intervention, Amy Marie Vecheck

Theses and Dissertations

This work aims to assess cellular migration in three-dimensional structures as a function of Zeeman resonance. By using Zeeman resonance to initialize intersystem crossing of electrons, also known as the Radical Pair Mechanism, bioenergetics processes would be modulated. Processes such as oxygen consumption rate and extracellular acidification rate are indicative of cellular respiration and glycolysis and can be altered based on the orientation of the magnetic field applied: parallel and perpendicular, respectively. This study focused on the parallel orientation and looked to used Zeeman resonance to increase flavin adenosine dinucleotide, which results in preventing the breakdown of F-actin. Cellular viability …