Engineering Commons^™

Drainage Area Limitations Of Single Watershed, Peak Flow Estimates From Nrcs Methods, Timothy A. Maughan, Rollin H. Hotchkiss, Riley Hales

Nebraska Department of Transportation: Research Reports

Most state Department of Transportation roadway design sections predict peak flow for culvert design using, amongst other approaches, Natural Resources Conservation Service (NRCS) TR-20 technology. Even though this technology is more than 50 years old, there are no clear guidelines for how large a single watershed drainage area may be while remaining appropriate for predicting peak discharge with this method. Our objective was to identify the drainage area where TR-20 peak flow predictions significantly deviate from flow frequency predictions. We developed flow frequency estimates for 130 small-area stream gage sites in rural Nebraska and compared the calculated return period discharges …

Becoming A Computer Scientist: Multimethods To Make Sense Of Professional Computer Scientist Identity Development, Tim Ransom

All Dissertations

Professional identity development is both a powerful pedagogical tool and an excellent indicator of overall life satisfaction for students.

This work investigates the experience of undergraduate students as they develop their professional identities into computer scientists. A multimethod research plan makes use of quantitative ethnography (QE) and interpretative phenomenological analysis (IPA) to understand the lived experiences of eight undergraduate computer science students professional computer scientist identity development and the messages social media presents about that professional identity.

First, a quantitative ethnography is conducted to investigate the expression of professional computer scientist identity in relevant online communities. This investigation into the …

Aircraft Water And Waste Systems Curriculum Alignment For Updated Airmen Certificate Standards (Acs), Myles Miller

All Graduate Reports and Creative Projects, Fall 2023 to Present

The purpose of this project was to create a curriculum that aligns with the updated Airmen Certificate Standards (ACS) related to aircraft water and waste systems. The curriculum was designed to align with the FAA standards outlined in the ACS section II. Airframe Subject O. Water and Waste Systems. The curriculum includes components, operation, inspection, and servicing requirements for potable water and lavatory waste systems. The curriculum should equip students with the ability to identify, assess, and mitigate risks associated with lavatory waste systems, and the ability to locate and explain the procedures for servicing water and waste systems. The …

Engineering Planktonic And Biofilm Microalgae Systems For Productivity, Power Requirements, Cost, And Scalability, Dallin Chugg

All Graduate Reports and Creative Projects, Fall 2023 to Present

Microalgae cultivation offers dual benefits as an effective wastewater treatment method and a sustainable source of valuable bioproducts, such as biofuels, bioplastics, and feedstocks. This approach supports sustainability by transforming waste into high-value products while minimizing environmental impact. However, scaling microalgae cultivation to industrial levels presents significant challenges, particularly in optimizing harvesting efficiency, reducing mixing and transport costs, and managing large water requirements.

This report compares the productivity, scalability, cost, and energy requirements of two primary cultivation systems: planktonic and biofilm. Planktonic systems, such as open raceway ponds (ORPs), excel in light distribution and nutrient uptake due to continuous mixing, …

Designing And Modeling An Exoskeleton Mobility Device For Individuals With Paraplegia, Dan O'Crowley

All Graduate Reports and Creative Projects, Fall 2023 to Present

The objective of this project is to design and develop a lightweight mobility exoskeleton for individuals with paraplegia that enables transportation of the user in a standing position, supports the user during the sitting to standing transition, and can be loaded by the user into a vehicle. A device like this has the potential to mitigate many negative health impacts of seated mobility devices, reduce social barriers, increase job opportunities for the user, and improve independence, while providing cost savings for the users and the healthcare system.

The system consists of a 3-linkage inverted pendulum with motors at the knee …

Bomb Calorimeter As Proof Of Concept For Low-Cost Calorimeter To Measure Thermal Runaway In Pouch Cells To Facilitate Statistical Characterization, Mykell Johnson

All Graduate Reports and Creative Projects, Fall 2023 to Present

Transportation is becoming increasingly electrified, with the main energy storage system being lithium-ion (li-ion) batteries. Despite the widespread adoption of li-ion batteries, unique design abuse tolerance concerns need to be addressed, specifically regarding the catastrophic exothermic release of energy, called thermal runaway (TR). While TR is a major design consideration in all li-ion applications, it presents unique difficulties in the electric aviation industry. The Federal Aviation Administration (FAA) considers thermal runaway inevitable in a battery pack and requires containment of the event per DO311-A for certified aircraft. Due to the wide variability of TR, designing for this phenomenon can be …

Effects Of The Gravity Gradient On The Path Of 1i/‘Oumuamua, Hannah R. Richardson

Honors Theses

In October 2017, the asteroid 1I/’Oumuamua first passed into viewing range [1]. The asteroid is notable for being the first interstellar object to enter the solar system. 1I/’Oumuamua was also unusual in its geometry; it is thought to have an aspect ratio of 6:1 and a length of approximately 400 m [2] [3]. The asteroid was observed to experience a non-Keplerian acceleration estimated to be on the order of 1⇥10−6 m s2 . Several theories have been proposed for the cause of this acceleration, all of which are non-gravitational in nature: volatile outgassing, photon pressure, and solar winds [1][4]. However, …

Composition And Rich/Lean Loading-Dependent Density Measurements Of A Series Of Aqueous Ionic Amines For Co2 Capture, Claudia Nguyen

Honors Theses

As climate change worsens worldwide, there is a drive to develop more efficient and sustainable methods to mitigate its impact through carbon capture methods like carbon dioxide scrubbing. Carbon scrubbing directly captures carbon dioxide (CO2) emissions from industries or power plants before they are released into the environment. The CO2 captured can be utilized for various applications or can be stored underground. However, this method faces numerous challenges, such as the degradation of the solvent or corrosion of equipment. As a result, research has expanded to find a better medium to overcome these issues. In particular, aqueous ionic amines (AIA) …

Ghosts In Glass: Ghost Crabs As Judges Of Glass Sand For Coastal Restoration, Emily Parrish

Honors Theses

Over 60% of the Gulf of Mexico coastline is actively eroding, which has resulted in thousands of miles of lost coastline over the last 100 years. This drastic loss of coastal land highlights the dire need for coastal restoration across the entirety of the Gulf Coast. A vital aspect of restoring these eroded areas is replenishing eroded substrate, traditionally conducted through offshore dredging of substrates which comes with high economic and ecological costs. Recycled glass sand may be able to fill this role and reduce our reliance on dredging while lowering the amount of glass waste entering landfills each year. …

A Hierarchical Soft Computational Model For Optimizing Agricultural Uavs: Recruiting Neutrosophic Theory And Tree Soft Sets, Mona Mohamed, Nurhan Alaa, Bilal Arain, Karam M. Sallam

Neutrosophic Systems with Applications

Precision agriculture is being transformed by Unmanned Aerial Vehicles (UAVs), which make it possible for yield optimization, targeted spraying, and sophisticated crop monitoring. With an emphasis on their operational capabilities, economic feasibility, and environmental implications, this research explores the revolutionary potential of UAV technology in contemporary farming systems. Practically speaking, the procedure of opting UAVs for agricultural applications is complicated by several competing aspects, inherent uncertainties, and differing stakeholder agendas. This paper suggests a new hybrid decision framework that combines Tree Soft Sets (TrSS), Neutrosophic theory, and Multi-Criteria Decision-Making (MCDM) to methodically handle these issues. Hence, the robust hybrid model …

The Effect Of A Peptide Targeting Ligand On Transfection Efficiency Of Polymeric Nanoparticles To Dendritic Cells, Anthony Radka

Honors Theses

Autoimmune diseases affect approximately 5-8% of the global population, leading to chronic symptoms, long-term treatment, and reduced quality of life. Current therapies primarily rely on lifelong administration of immunosuppressants, which are associated with severe side effects and heightened susceptibility to infections. This has spurred interest in cellular therapies that manipulate dendritic cells (DCs) effectively and can selectively treat these diseases. This work aims to improve the efficacy of dendritic cell-based therapies using cationic polymers that can electrostatically complex with nucleic acids, forming nanoparticles referred to as polyplexes, that can deliver therapeutic nucleic acid cargo. These particles are a favorable alternative …

Development And Characterization Of A Pro-Angiogenic Peptide Amphiphile For Deep Dermal Burn Healing Via Spray Delivery, Loria Dimartino

Honors Theses

Severe burns and other dermatological injuries are frequently accompanied by a range of comorbidities and aesthetic challenges that patients must contend with. The complexity of burn care is exacerbated by the lack of a standardized surgical protocol, as treatment strategies are tailored to individual patient factors, including overall health status, wound size and location, as well as the expertise and resources available to the surgical team. Most commonly, deep dermal burns are treated through grafting, which effectively covers the injury site, but requires the creation of a second wound on the body of approximately the same size. This produces a …

Cellular Telemetry For Real-Time River Flow Velocity Data From Fluvial Acoustic Tomography Loggers, Joshua Lee Seymour

Honors Theses

Streamflow is a critical element in understanding watershed processes and the effects of land use on those processes because it is the primary medium through which water, sediment, nutrients, organic material, thermal energy, and aquatic species move. Fluvial Acoustic Tomography (FAT) systems offer accurate direct measurements of river section-averaged flow velocity by measuring reciprocal acoustic travel times between at least two acoustic nodes positioned on opposite riverbanks. However, similar to many in-situ sensors used in estuarine and riverine environments, FAT loggers require manual data retrieval, which is time-consuming, labor-intensive, and limits real-time access and increases maintenance costs. This project presents …

Tuning The Morphology Of Triblock Copolymers Via Homopolymer Blending, John F. Searles

Honors Theses

Morphology plays an important role in the physical properties of block copolymer (BCP) materials. Depending on the type of morphology and chemical composition of the blocks, BCPs are used in applications ranging from soft biomaterials for biomedical devices to rigid materials for ballistics protection. Due to incompatibility between comonomers and required block weight ratios to achieve targeted morphologies, it is generally necessary to use complex, time-consuming, and expensive synthetic techniques to prepare BCPs. As a result, there is increased interest in the development of new processing methods to tailor block copolymer morphology without the need for additional synthesis. The morphological …

Understanding And Modeling Pooled Rideshare Acceptance: Influential Factors, Preferred User Experiences, And Implications, Rakesh Gangadharaiah

All Dissertations

This dissertation explores factors influencing pooled rideshare (PR) adoption to provide actionable insights for transportation network companies (TNCs) and policymakers. PR allows travelers to share rides with unknown passengers, offering benefits such as cost reduction and congestion relief. However, adoption remains limited due to safety concerns, privacy issues, and trust in rideshare platforms. A national U.S. survey with 5,385 respondents examined transportation preferences and barriers to PR adoption. Exploratory and confirmatory factor analyses identified five key factors influencing PR consideration—safety, service experience, privacy, traffic/environment, and time/cost. Second factor analyses examined ways to optimize PR experiences, revealing four factors—comfort/ease of use, …

Deciphering And Translating Bioinspired Structures For Engineering Materials Design Via Computational Modeling And Machine Learning, Zhangke Yang

All Dissertations

Nature has evolved extraordinary structural materials—such as nacre, bone, and the mantis shrimp’s dactyl club—that achieve remarkable combinations of strength, toughness, and impact resistance. These properties arise from sophisticated synergies between structure and composition. Inspired by these biological systems, this dissertation presents a comprehensive investigation into bioinspired materials, uncovering fundamental mechanisms and providing guidance on designing materials with superior mechanical properties.

This dissertation begins by examining the "brick-and-mortar" structure of nacre, which informs the design of layered polymer-graphene nanocomposite films. Using coarse-grained molecular dynamics simulations, I elucidate mechanisms of dynamic wave propagation and energy dissipation in these systems, providing critical …

Conversion Of Thermal Energy Stored In Conductive Concrete To Electricity With Thermoelectric Generators, Moustafa M. Al Adawi

Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research

This paper presents a proof-of-concept experimental study on the use of conductive concrete as thermal energy storage and its conversion into electricity. The conductive concrete is heated to 100°C by supplying electricity, and the stored thermal energy is converted back into electricity using thermoelectric generators (TEGs). Measurement results demonstrate that the conductive concrete effectively stores thermal energy up to 100°C, and this energy can be successfully converted into electricity. The findings highlight the potential of conductive concrete as a reliable medium for thermal energy storage.

Advisor: Lim Nguyen

A Machine Learning Framework For Packet Anomaly Detection In Smartgrid Substation Networks, Sowmya Bandari

School of Computing: Dissertations, Theses, and Student Research

The increasing reliance on Smart Grid Substation Networks for efficient electricity distribution has amplified cybersecurity vulnerabilities, particularly within Supervisory Control and Data Acquisition (SCADA) systems. The IEC 60870-5-104 (IEC-104) protocol, widely adopted for communication between Remote Terminal Units (RTUs) and Human-Machine Interfaces (HMIs), lacks inherent encryption and authentication mechanisms, rendering it susceptible to sophisticated cyberattacks. Threats such as False Data Injection Attacks (FDIAs), command injection, covert attacks and replay attacks pose significant risks by manipulating grid control signals, potentially leading to undetected operational disruptions, cascading failures, or system-wide instability. Conventional signature-based Intrusion Detection Systems (IDS) often fail to identify zero-day …

Experimental And Computational Investigation Of Using Passive Sweeping Mist Jet Film Cooling Via Fluidic Oscillators In The Gas Turbine Application, Mohammad Javad Mohaghegh Kojidi

LSU New Orleans Theses and Dissertations

As the energy industry transitions to cleaner fuels like hydrogen, the resulting higher flame temperatures pose significant challenges for gas turbine cooling. Mist-enhanced film cooling using sweeping jets, generated by passive fluidic oscillators, offers a promising solution by providing wider and more uniform coolant coverage. This study combines computational and experimental (using Particle Droplet Phase Analyzer) approaches to evaluate sweeping mist jet performance.

Simulations were conducted under laboratory conditions to investigate the influence of droplet wall boundary conditions—reflect, trap, and wall-film—on cooling effectiveness and droplet dynamics. The wall-film model, motivated by observed liquid streaks, demonstrated the best agreement with experiments. …

Analysis Of Hydrological Model Uncertainty In The Response Of Farmers' Decision Models: A Case Study From The Lower Mississippi River Basin Region, Aayush Khadka

LSU New Orleans Theses and Dissertations

Ever since human have evolved on planet earth, they have been dependent on water resources for almost every aspect of their lives. From food production to industry, water has been an integral part of the ever-growing human civilization. Increasing reliance on water has resulted in development of effective and sustainable management strategies. However, water management has remained a complex task due to different human and natural stressors. Hydro-economic models are powerful tools that have been widely used to study water resource systems, management options, economic values, and infrastructures. They have been used to analyze the Water-Energy-Food nexus, climatic interactions, and …

Ai-Powered Inspection: A Computer Vision System For Efficient Defects Detection In Underground Infrastructures, Rasha Alshawi

LSU New Orleans Theses and Dissertations

Undetected defects in culverts and sewer pipes pose significant risks to public safety, leading to infrastructure collapses, flooding, and transportation disruptions. Traditional manual inspections are time-consuming, costly, and prone to human error, while existing automated methods struggle with occlusions, irregular defect shapes, class imbalances, and high computational demands. To address these challenges, this dissertation develops advanced semantic segmentation systems that automate defect detection, significantly improving efficiency and accuracy.

This research introduces a series of innovative models designed to overcome these challenges in underground infrastructure inspection. Using dual-attentive mechanisms, sparsely connected blocks, and depth-separable convolutions, these models improve segmentation performance and …

Survival Signature Estimation For All-Terminal Networks By Solving The Multi-Objective Bottleneck Spanning Tree Problem, Dewan Maisha Zaman

Graduate Theses and Dissertations

This research examines the problem of estimating the survival signature of all-terminal networks using Monte Carlo (MC) simulation. Following a recent similar result for twoterminal networks, we show that the work required within each MC replication corresponds to solving a multi-objective bottleneck spanning tree (MOBST) problem. We implement the resulting MC procedure using a “Blocks” algorithm from the literature to solve the MOBST in each replication by identifying its minimal set of non-dominated points. We compare this implementation against intuitive benchmark procedures for completing the work within an MC replication. We conduct numerical experiments to assess the efficacy of multi-objective …

Real Time Adaptive Control Of A Pid Via Genetic Algorithm Machine Learning Systems, Cemre Tas

Graduate Theses and Dissertations

The most common control method that is utilized by all industries across the world is the proportional-integrative-derivative controller (PID) due the relatively low cost and complexity of the system. However, there are draw-backs with PIDs, it is not adaptative to a changing system, so it works on nominal systems, and it starts breaking down when a system begins to have a non-linear response. The method chosen to overcome both is the utilization of machine learning with the use of genetic algorithms.

This method allows any PID system to be capable of adapting in real-time, while not adding significant additional cost …

Design And Implementation Of Asynchronous Communication In Multi-Chiplet Systems: A Comparative Study Of Pseudo-Crossbar And Bus Architectures, Matthew Clemence

Graduate Theses and Dissertations

System-on-Chip (SoC) complexity continues to present challenges in global clock distribution and power management. The Globally Asynchronous Locally Synchronous (GALS) approach addresses these issues by enabling asynchronous communication between locally synchronous chiplets. This thesis details the design and implementation of two GALS architectures employing asynchronous handshaking protocols through Multi-Threshold CMOS NULL Convention Logic (MTNCL). The first architecture, a pseudo-crossbar, uses arbiters and multiplexers/demultiplexers (MUX/DEMUX) for prioritized and dynamic communication between chiplets. The second, a bus-based approach, employs D-latches to manage communication sequentially with predetermined interrupts. This research explores the detailed implementation, functional distinctions, scalability, and integration trade-offs inherent to each …

Uncertainty Quantification Of Turbulent Premixed Flames, David L. Brown

Honors Theses

This thesis presents an uncertainty quantification (UQ) study of turbulent premixed flames, focusing on the impact of uncertainties in operating conditions on the normalized consumption speed. Namely, temperature, pressure, and equivalence ratio are the operating conditions that are under study. Due to significant computational demands associated with direct MC methods for UQ, surrogate modeling techniques including Polynomial Chaos Expansion (PCE), Stochastic Collocation (SC), and Gaussian Process (GP) are evaluated based on efficiency and accuracy. Through this study, PCE is identified as the optimal surrogate model due to its accuracy and significantly reduced computational costs. PCE is subsequently applied to investigate …

A Simplified Thermal And Battery Model For Off-Grid Solar Air Conditioning In Florida’S Hurricane Context, Steven A. Sanford

Honors Theses

Florida’s hurricane-prone climate often leaves residents without power and at risk of dangerous indoor heat conditions. This thesis examines whether an off-grid, solar-powered air conditioning system can feasibly maintain safe indoor temperatures over a one-week outage period during peak hurricane season. A simplified, lumped-capacitance thermal model and an energy-based (Coulomb-counting) battery state of charge (SoC) approach were developed in MATLAB to simulate a DC-powered air conditioner (the DC48 unit) in a single-zone space. Historical weather and solar irradiance data from Vero Beach, Florida, represent the hot and humid conditions typical of post-hurricane scenarios. The model uses an on/off plus deadband …

The Effect Of Catalyst Choice On Biodiesel Yield And Quality Using Waste Cooking Oil As A Feedstock, Neka Long

Honors Theses

Biodiesel is one current area of interest as a replacement for traditional diesel fuel. Benefits of biodiesel include that it can be derived from renewable resources, and it possesses properties similar to that of traditional diesel fuel. Biodiesel is often produced through a catalyzed transesterification process, which involves the use of a catalyst to aid in the conversion of triglycerides into alkyl esters. A method called the transesterification double step process (TDSP) was researched and used in this project due to the success seen using this method for the conversion of waste cooking oil to biodiesel. In this project, four …

Subsurface Characterization Using Electrical Resistivity Tomography (Ert) Integrated With Masw, P-Wave Refraction, And Boring Results, Mohammadyar Rahimi

Graduate Theses and Dissertations

Electrical resistivity tomography (ERT) has gained widespread application in geotechnical engineering as a non-invasive method for subsurface characterization. Despite its versatility, several challenges remain regarding its resolution capabilities, interpretive limitations, and integration with other investigative methods. This dissertation addresses three key applications of ERT, focusing on its effectiveness and limitations in resolving thin subsurface layers, detecting anomalies such as voids, and supporting environmental assessment in river restoration projects.

The first study investigates the ability of ERT to resolve thin, discontinuous clay layers beneath levees, using the Melvin Price Reach of the Wood River Levee on the Mississippi River as a …

An Integrative Approach To Einstein’S Field Equations Of General Relativity For High School Students, Christina M. Aintablian

Senior Honors Theses

Einstein’s Field Equations form the foundation of the theory of General Relativity, describing the interdependence of mass-energy and spacetime curvature, where curvature gives rise to gravity. However, the complexity of these equations makes them difficult for high school students to grasp. The mathematical framework of General Relativity is introduced step by step, beginning with relative motion and culminating in a discussion of complex phenomena that challenge modern physics. Each explanation intertwines core concepts of relativity with pre-established mental models to enhance learning. Through the use of figures, analogies, narratives, and thought experiments, a structured framework is developed to make relativity …

A Causal Model Of Performance Shaping Factors For Human Reliability Analysis In Manufacturing., Prameet Ranjan Jha

Electronic Theses and Dissertations

Human reliability analysis is a critical component of probabilistic risk assessment, aimed at predicting and mitigating human errors in complex systems. This dissertation develops a novel approach to human reliability analysis in manufacturing by integrating structural equation modeling and Bayesian networks to improve the estimation of human error probabilities. Traditional human reliability assessment methods, such as the Standardized Plant Analysis Risk-Human Reliability Analysis (SPAR-H) and the Technique for Human Error Rate Prediction (THERP), provide structured techniques for estimating human error probabilities. However, these methods often fail to capture the complex interdependencies among performance shaping factors (PSFs), limiting their applicability in …