Engineering Commons^™

A Numerical Investigation Of The Performance Of Damaged Concrete Barriers Under Sequential Vehicular Impacts, Ashesh Pokhrel, Andrew D. Sorensen, Mohsen Zaker Esteghamati

Civil and Environmental Engineering Student Research

Concrete median barriers are prone to damage from low-velocity impacts. However, there is a limited understanding of how damage from initial impacts affects barriers’ long-term performance and whether they maintain safe continued service or must be replaced. Therefore, this paper evaluates the performance of the concrete barriers under sequential low-velocity impact using finite-element analysis. Crash test simulations were performed by impacting the concrete barrier twice with an 80,000 lb (36-ton) tractor-trailer at a target impact velocity and angle. The first impact’s velocities varied between 30 mph (48 kmph) and 54 mph (87 kmph) at 10◦ , 15◦ , and 20◦ …

Experimental Validation Of Bio-Inspired Control: 4 Story Shear Structure, Vamsee Vemana

24th Annual A. Paul and Carol C. Schaap Celebration of Undergraduate Research and Creative Activity (2025)

With the rise of rapid urbanization, skyscrapers are increasingly common, making them vulnerable to environmental pressures such as high winds and earthquakes. These forces threaten the structural stability of tall buildings, necessitating the development of active control methods to mitigate their effects and maintain structural integrity. Traditional control systems utilize numerous sensing nodes that feed data into a centralized system, which then determines the appropriate actions for the actuators. However, this centralized approach can introduce substantial lag due to the overwhelming amount of data being processed. By transitioning to a decentralized wireless system, where sensors directly feed data to control …

Enhancing Oil Recovery With Novel Nano-Particle-Infused Surfactant Biopolymer Composite: A Comprehensive Investigation, Attia Attia, Amira Shafaay Dr., Michael Sami Alfonse Eng., George Azmi Eng., Rania Ramadan

Petroleum Engineering and Gas

The oil industry worldwide is searching for a new way to increase oil recovery. Chemical flooding has been used worldwide to improve oil recovery. In this research, the study of Enhanced Oil Recovery was carried out by using an Egyptian oil of API 42◦; the experiments were done by using Xanthan biopolymer (XG) gum with sodium dodecylbenzene sulfonate (SDBS) as a composite for the EOR process and studying the impact of different composite concentrations on oil recovery. Design Expert software was used to determine the optimum concentrations of the composite. 500 ppm concentration of graphene cobalt samarium ferrite nanoparticles (NP) …

Instrumented Tennis Racket To Train Proper Grip In Novice Tennis Players, Mia Bergethon, Isaac Sandoval

24th Annual A. Paul and Carol C. Schaap Celebration of Undergraduate Research and Creative Activity (2025)

This instrumented tennis racket is designed to help novice players maintain proper grip strength and reduce the risk of developing tennis elbow. Tennis elbow is a condition caused by repeatedly gripping the racket with excessive force which strains the muscles causing tears and inflammation. The racket features embedded force sensors to measure grip strength and provides real-time haptic feedback, signaling players to adjust their grip during training. A phone app connects to the racket and records grip strength for each swing session, reinforcing proper technique.

Eight to ten miniature 12 mm motors were placed in the base of a Wilson …

The Role Of Counter Electrode In Perovskite Solar Cell On Silicon Substrate To Enhance Power Conversion Efficiency For Cmos-Compatible Applications, Sameh O. Abdellatif, Eman Sawires

Electrical Engineering

This study investigates the impact of various counter-electrode materials on the overall power conversion efficiency (PCE) of perovskite solar cells (PSCs) fabricated on silicon substrates. We examined four distinct configurations using fluorine-doped tin oxide (FTO) as bare cell, copper (Cu), aluminum (Al), and highly p-doped silicon wafers as counter electrodes. The results indicate that the PSCs with Cu achieved the highest short-circuit current density (JSC) of 17.11 mA/cm2, while the p-doped silicon and aluminum showed lower JSC values of 16.19 mA/cm2 and 16.51 mA/cm2, respectively. Open-circuit voltage (VOC) values remained competitive across all cells, with FTO achieving a VOC of …

Aerosol Technology For Carbon Capture And Utilization, Onochie Chinedum Okonkwo

McKelvey School of Engineering Graduate Student Theses & Dissertations

The CO2 concentration in the atmosphere has continued to increase over the past century and now poses an increasing potentially catastrophic effect to human life and the environment via global warming and the concomitant effect of climate change. Anthropogenic carbon dioxide emissions due to fossil fuel combustion for increasing energy demand is the main driver for the increased carbon dioxide in the atmosphere. A multifaceted approach including carbon dioxide capture and utilization is required to mitigate anthropogenic carbon dioxide emissions. Aerosol science and technology, an enabler for clean combustion technologies and nanomaterial synthesis, can contribute significantly to the advancement of …

Enhancing Frequency Event Detection In Power Systems Using Two Optimization Methods With Variable Weighted Metrics, Hussain A. Alghamdi, Midrar A. Adham, Umar Farooq, Robert B. Bass

Electrical and Computer Engineering Faculty Publications and Presentations

This research presents a novel technique that refines the performance of a frequency event detection algorithm with four adjustable parameters based on signal processing and statistical methods. The algorithm parameters were optimized using two well-established optimization techniques: Grey Wolf Optimization and Particle Swarm Optimization. Unlike conventional approaches that apply equally weighted metrics within the objective function, this work implements variable weighted metrics that prioritize specificity, thereby strengthening detection accuracy by minimizing false-positive events. Realistic small- and large-scale frequency datasets were processed and analyzed, incorporating various events, quasi-events, and non-events obtained from a phasor measurement unit in the Western Interconnection. An …

Applications Of Clustered Regularly Interspaced Short Palindromic Repeats In Food Security And Nutraceuticals, Rukayat Abiodun Oyegoke, Jahswill Toluwanimi Osifade, Adenike Temidayo Oladiji

Al-Bahir

The CRISPR/Cas9 system is a revolutionary genome-editing tool that enables precise and inheritable modifications, transforming plant genetic engineering. Previous literature has indicated that, in agriculture, CRISPR has improved crop yield, biofortification, and resistance to environmental stressors, fostering resilient and high-yielding crops essential for sustaining a growing global population. In nutraceuticals, CRISPR has enhanced the biosynthesis of bioactive compounds such as anthocyanins, flavonoids, and omega-3 fatty acids, improving the nutritional and therapeutic value of crops.

Despite its immense potential, CRISPR technology faces technical, ethical, and regulatory challenges, including off-target effects, accessibility concerns, and public acceptance. Addressing these issues is crucial for …

Rfid Security For Iot Airport Infrastructure, Owen Guerra-Mondragon Saenz, Aaron Tulino, Benjamin Higgins, Philippe Shchetinin, Sawyer Hansen

Discovery Day - Prescott

Radio Frequency Identification (RFID) is a technology that uses active and passive tags to communicate via radio signals at various frequencies. Currently, it is being used in several applications in areas like merchandise tracking during transit, inventory management, access control for authorized personnel, and data sharing via Near Field Communication (NFC). RFID technology is used in airports to track both people (passengers and employees) and luggage. For employees, RFID helps control access to specific areas based on their role or hierarchy within the organization, allowing them to enter restricted zones based on their permissions. For passengers, RFID plays a crucial …

How Can The Adoption Of Biodegradable Packaging In The Beverage Industry Specifically Contribute To Reducing Single-Use Plastic Waste, And What Regulatory Or Cost-Related Challenges Hinder Its Widespread Implementation In Developing Countries?, Rebecca Aba Gaisie

2025 Awards for Excellence in Student Research and Creative Activity - Documents

This research investigates the potential of biodegradable packaging to reduce single-use plastic waste in the beverage industry and explores the regulatory and cost-related barriers to its adoption in developing countries. The beverage sector is a major contributor to global plastic pollution, and biodegradable alternatives offer a promising path toward sustainability. Using a mixed-methods approach, this study combines qualitative interviews with industry experts and case studies of businesses implementing biodegradable solutions, alongside quantitative survey data from 100 manufacturers and 200 consumers across Africa, Asia, and Latin America. Findings reveal that while biodegradable packaging significantly reduces plastic waste and appeals to environmentally …

Why Do Different Llms Give Different Answers To The Same Question? Model Uncertainty And Variability In Llm-Based Intrusion Detection Systems Ranking, Charlise Calloway

Cybersecurity Undergraduate Research Showcase

Large Language Models (LLMs) are increasingly applied across business, education, and cybersecurity domains. However, LLMs can yield varied outputs for the same query due to differences in architecture, training data, and response generation mechanisms. This paper examines model variability and uncertainty by comparing the responses of three LLMs—ChatGPT-4o, Gemini 2.0 Flash, and DeepSeek-V3--to a query on ranking practical intrusion detection systems (IDS). The analysis highlights key similarities and differences in the models’ outputs, offering insight into their respective reasoning and consistency.

Securing Biometric Data, Alyssa F. Carroll

Cybersecurity Undergraduate Research Showcase

Biometric data has been widely adopted across various sectors, including digital identity, artificial intelligence (AI), border control, digital wallets, and national identification systems. While biometric identifiers—such as fingerprints, retina scans, and facial recognition—offer reliable and convenient authentication, they also raise significant concerns regarding privacy and security. This paper examines how biometric data is stored, the vulnerabilities it faces, and the most effective methods for safeguarding it. By highlighting the critical importance of biometric data protection, this study reviews current research on approaches, strategies, and policies that enhance security while preserving the functionality and efficiency of biometric systems.

Subsurface Heatwaves In Lakes, R. Iestyn Woolway, Miraj Kayastha, Yan Tong, Lian Feng, Haoran Shi, Pengfei Xue

Michigan Tech Publications

Lake heatwaves (extreme hot water events) can substantially disrupt aquatic ecosystems. Although surface heatwaves are well studied, their vertical structures within lakes remain largely unexplored. Here we analyse the characteristics of subsurface lake heatwaves (extreme hot events occurring below the surface) using a spatiotemporal modelling framework. Our findings reveal that subsurface heatwaves are frequent, often longer lasting but less intense than surface events. Deep-water heatwaves (bottom heatwaves) have increased in frequency (7.2 days decade−1), duration (2.1 days decade−1) and intensity (0.2 °C days decade−1) over the past 40 years. Moreover, vertically compounding heatwaves, where extreme heat occurs simultaneously at the …

Utilizing Machine Learning To Predict The Charge Storage Capability Of Lithium-Ion Battery Materials, Manoj Chhetri, Karen S. Martirosyan

Physics & Astronomy Faculty Publications

With the increasing demand for high-performance batteries in applications such as electric vehicles and portable electronics, accurately predicting the charge storage capacity of battery materials is crucial for developing more efficient and reliable energy storage systems. Machine Learning (ML) and data-driven approaches, plays a vital role in enhancing our understanding of Li-ion battery performance, guiding materials design, optimizing system efficiency, and accelerating innovation in energy storage technologies. In this study, an ML-based approach was applied to a dataset of 2345 rechargeable Li-ion battery materials, obtained from the Materials Project online portal, to predict gravimetric charge storage capacity ─ a key …

Sustained Release Of Antifibrotic Nintedanib From Polymer Microparticles Reduces Dosing Frequency While Reducing Inflammation In Murine Idiopathic Pulmonary Fibrosis, Emmanuel Einyat Opolot, Filip Goshevski, Rahul Chaudhary, Horst A. Von Recum, Amar B. Desai

Faculty Scholarship

Purpose: Idiopathic pulmonary fibrosis (IPF) is a life-threatening, progressive lung disease with limited therapeutic options, often resulting in poor patient outcomes. Current treatments, such as Nintedanib (NTB) and Pirfenidone (PFD), require frequent administration, leading to adverse effects and low patient adherence. The purpose of this study was to investigate a sustained-release drug delivery system utilizing microparticles (MPs) composed of insoluble beta-cyclodextrin (β-CD) polymers to enhance the bioavailability and extend the release of NTB and PFD. Methods: A multidisciplinary approach, including in silico modeling, in vitro assays, and in vivo studies, was employed to assess the efficacy of β-CD-polymer MPs as …

Investigation Of Surface Quality And Productivity In Precision Hard Turning Of Aisi 4340 Steel Using Integrated Approach Of Ml-Moora-Pso, Adel T. Abbas, Neeraj Sharma, Khalid Alqusaibi, Mohamed Abbas, Rakesh Sharma, Ahmed Elkaseer

Mechanical Engineering

AISI 4340 steel has applications in gun barrels, where the surface quality of the barrel is the prime factor. This study explores the application of a machine learning (ML) approach to optimize the precision turning of an AISI 4340 steel alloy using both conventional and wiper tool nose inserts under varying cutting parameters, such as cutting speed, depth of cut, and feed rate. The analytical framework integrates experimental machining data with computational algorithms to predict key output parameters: surface roughness (Ra) and material removal rate (MRR). A Multi-Objective Optimization based on Ratio Analysis (MOORA) method is used for data normalization. …

Evaluating The Effects Of Oxidative Stress On Primary Retinal Pigment Epithelial Cells, Sophia Hessami

Student Research Symposium

Introduction

Age-Related Macular Degeneration (AMD) is the leading cause of vision loss worldwide, affecting 200 million adults over the age of 40

• Affects subretinal layers: retinal pigment epithelium (RPE), Bruch’s membrane, and choroid (Fig. 1)

Problem: Early mechanisms of AMD are not well understood; oxidative stress is often cited as a key contributing factor to the development of AMD.3 Current studies neglect to use primary RPE cells when investigating oxidative stress.

Oxidative Stress occurs when there is an imbalance between reactive oxygen species (ROS) production and cellular antioxidant defenses

• Overabundance of ROS results in damage to tissue and …

Data Science For Engineers, Heidi Moulton

Student Research Symposium

30% of USU undergraduate students participate in some sort of research, and for engineering students this often means generating large amounts of data.

Data Science for Engineers is a series of four modules that introduce students to data processing, visualization, and graphing in the Python programming language using Pandas DataFrames and Juypter Notebooks.

The modules are intended for students with a basic understanding of programming in Python, specifically those who have taken CS 1400 Introduction to Computer Science.

Establishing Mixed-Biofilm Systems: To Transform Waste Into Value-Added Products, Jessica Silva Cuero

Student Research Symposium

The bioeconomy, which leverages biological agents such as microbes to convert waste (e.g., agricultural waste, wastewater, etc.) into valuable resources (Fig 1.), offers a sustainable solution to global waste challenges while generating new economic opportunities.

Measuring The Dynamics Of Snowflakes, Jameson Chamberlain

Student Research Symposium

Transport dynamics of small spherical particles are reasonably understood. However, there is a lack of research on the impacts of how a snowflake’s shape or morphology affects fall speed.

Effect Of Shear Stresses On Microalgae Biofilm Productivity, Tansley Mazurkiewicz, Jacob Watkins

Student Research Symposium

Algae harvested from the Central Valley Water Reclamation Facility was cultivated in nine 27-gallon Rotating Algae Biofilm Reactors (RABRs) to study the effect of shear forces on biofilm productivity. These bench- scale RABRs, with panel entry angles ranging from 0° to 90°, were designed using computational fluid dynamics. Each acrylic panel had dimensions of 0.220x2.5x12 inches with v-shaped grooves (each with an angle of 90°) running the length of each panel. Three depths of v- grooves were tested in triplicate, these depths being 0.055 in, 0.11 in, and 0.165 in. The RABRs were run with a peripheral velocity of 0.1225 …

Spray Science: Visualizing Droplet Behavior At Different Pressures, Phoenix Sestak

Student Research Symposium

Fluid mechanics is an important part of modern technology. Many designs in engineering are influenced by how we can manipulate fluids and their flows. One application of fluid manipulation can be seen in pressurized sprays. These sprays are present in industries like agriculture and transportation.

Reducing Biochemical Oxygen Demand In Carbon Rich Wastewater Using Rotating Algae Biofilm Reactors, J. Dietrich Storrer, Jared Maughan, Autumn Kirkham, Isaac Smart, Gavin Sherwood

Student Research Symposium

The USU Frulact Project aims to reduce the Biochemical Oxygen Demand (BOD) in wastewater from the Frulact facility in Logan, Utah. By using Rotating Algae Biofilm Reactors (RABRs) combined with activated sludge, the project seeks to break down pollutants and lower BOD levels. This innovative system also explores the potential of algae for bioproducts. Ultimately, the project works toward cleaner water, healthier ecosystems, and sustainable solutions for wastewater treatment.

Low-Cost Orchard Vehicle Location Tracker, Kobe Yost

Student Research Symposium

GPS signal often fails under the canopy of orchards.

This research provides a solution to harvest location tracking without solely relying on the use of GPS.

Reliable speed and distance tracking results in accurate yield mapping and orchard management.

Effects Of Uv Radiation On Algae Biofilms Of Rotating Algae Biofilm Reactors, Rebecca Sweeten

Student Research Symposium

Goal: Discover effects of UV-A and UV-B radiation on the biofilm production of algae using a Rotating Algae Biofilm Reactor (RABR)

Method: Expose 3 RABRs in triplicate to UV-A, UV-B, and PAR to identify differences in biomass, nutrient uptake and pH levels.

Results: RABR’s under UV-B light have the highest productivity

Flow Characterization Past ​ Large Arrays Of Oscillating 2d Airfoils, Yi-Cheng Chen

Student Research Symposium

Oscillating or rotating array structures at distinct frequencies are prevalent in natural systems and engineering applications.

• Flow Control in Engineering Systems:

Arrays of vibrating plates can be used to manipulate free-shear and boundary layer flows, reduce drag, or delay flow separation in aerodynamics and hydrodynamics.

• Wave Mitigation Structures:

Arrays of oscillating structures may dissipate energy in coastal areas, reducing the impact of waves on structures or preventing erosion

• Biological Studies:

Simulations of synchronized oscillating arrays can provide insights into fish schooling behavior and hydrodynamic benefits in nature.

• Advanced Cooling Systems:

Oscillating plates in fluid environments …

Atomic-Scale Mechanisms Of The Insulator-To-Conductor Transition In Al-Substituted Llzo Solid Electrolytes For All-Solid-State Lithium Metal Batteries, Takmil Sakir

Student Research Symposium

Why to use Lithium Metal Anode and Solid Electrolyte:

We can have a lighter and safer battery, and we may go 10 times longer with a single charge!

Sustainable Poultry Farming: A Concept Of Iot-Based Poultry Management System For Small-Scale Farmers, Ayodeji Akinsoji Okubanjo, Ignatius Kema Okakwu, Olufemi Peter Alao, Nurudeen Samuel. Lawal, Ayoola Abiola Babalola, Abisola Olayiwola

Al-Bahir

Conventional poultry management techniques are failing to meet increased demand for poultry products as the population continues to grow. As a result, this issue has become a major concern for small-scale farmers, particularly those in low-income areas, in terms of food security. One of the main reasons for this is that the farmers rely on intensive farming methods which are inefficient for automating daily poultry operations. However, intensive farming methods pose major environmental concerns to ecosystems and poultry health. Also, the environmental conditions, welfare, and productivity of poultry operations may be harmed by the global climate crisis and poultry waste …

Average Biomechanical Responses Of The Human Brain Grouped By Age And Sex, Ahmed A. Alshareef, Aaron Carass, Yaun-Chiao Lu, Joy Mojumder, Alexa M. Diano, Olivia M. Bailey, Ruth J. Okamoto, Dzung L. Pham, Jerry L. Prince, Philip V. Bayly, Curtis L. Johnson

Faculty Publications

Traumatic brain injuries (TBIs) occur from rapid head motion that results in brain deformation. Computational models are typically used to estimate brain deformation to predict risk of injury and evaluate the effectiveness of safety countermeasures. The accuracy of these models relies on validation to experimental brain deformation data. In this study, we create the first group-average biomechanical responses of the brain, including structure, material properties, and deformation response, by age and sex from 157 subjects. Subjects were sorted intro three age groups—young, mid-age, and older—and by sex to create group-average neuroanatomy, material properties, and brain deformation response to non-injurious loading …

Bio-Inspired Highest Lift-To-Drag-Ratio Fin Shape And Angle For Maximum Surfboard Stability: Flow Around Fish Fins, Megan S. Macneill, Brian Barkdoll

Michigan Tech Publications

Wave surfing is a multi-billion dollar industry involving both maneuverability and speed, yet little research has been performed regarding the highest lift-to-drag-ratio fin shape for these competing qualities. Numerical modeling and laboratory experiments were performed here to identify a bio-inspired fin shape that maximized lateral stability and minimized drag forces, in order to increase surfing maneuverability. Nine fins based on dorsal fins of real fish were tested. Both the CFD and laboratory experiments confirmed that the fin of the same shape as that of the Short-Finned Pilot Whale at an angle of attack of 10° had the greatest lift-to-drag ratios. …