Engineering Commons^™

Unveiling Travel Patterns With The Next-Generation Passive Mobile Origin And Destination (Od) Data From The National Household Travel Survey, Muthumari Anbumani, Srinivas S. Pulugurtha

Kentucky Transportation Center Presentations

No abstract provided.

Extrinsic Calibration Of 3d Lidar Using Sphere Targets And Target-Centered Gps, Xinyu Cao, Sean Brennan

Kentucky Transportation Center Presentations

No abstract provided.

Motorcycle Crash Risk And Risk-Taking Behaviors: An Analysis For Costa Rica, Jonathan Aguero-Valverde, Jessica Álvarez López, Darío Vargas Aguilar

Kentucky Transportation Center Presentations

No abstract provided.

Analysis Of Factors Associated With The Frequency Of Turning Vehicle-Bicycle Crashes At Signalized Intersections, Faria Raha, Brendan J. Russo, Anthony M. Eschen, Steven R. Gehrke, Edward J. Smaglik

Kentucky Transportation Center Presentations

No abstract provided.

A Neuroscientific Approach For Investigating Mental Fatigue Biomarkers In Simulated Driving Trials, Andrea Giorgi, Manuel Picardi, Vincenzo Ronca, Simone Sportiello, Marco Petrelli, Carlo Polidori, Marteyn Van Gasteren, Arnab Barua, Mobyen Uddin Ahmed, Fabio Babiloni, Gianluca Di Flumeri

Kentucky Transportation Center Presentations

No abstract provided.

Can Temporary Signs Remind Who Should Yield At Uncontrolled Intersections? – A Driving Simulator Study, Kirti Mahajan, Saumik Sakib Bin Masud, Grace Savoie, Alexandra Kondyli

Kentucky Transportation Center Presentations

Background: A generic right of way (ROW) rule at uncontrolled intersections is to yield to the vehicle from the right, if not stated otherwise in the right-hand side driving countries such as the US. However, this rule is greatly neglected in practice, resulting in unsafe situations. This study investigated the effectiveness of using two proposed temporary yield signs: “Yield to Traffic on right” (Sign1_YT) and “Yield to Person on right” (Sign2_YP), to remind the drivers of ROW rule at uncontrolled intersections. Method: A driving simulator experiment was conducted with 20 drivers (aged 18-65 years), 50% males, recording observations for 198 …

Design And Optimization Of High-Efficiency Coreless Pcb Stator Axial Flux Pm Machines With Minimal Eddy And Circulating Current Losses, Yaser Chulaee, Greg Heins, Ben Robinson, Ali Mohammadi, Mark Thiele, Dean Patterson, Dan M. Ionel

Electrical and Computer Engineering Graduate Research

This paper proposes a systematic multi-step design procedure for highly efficient printed circuit board (PCB) stator coreless axial flux permanent magnet (AFPM) machines with minimal eddy and circulating current losses. The process begins with initial sizing, providing specific coefficients based on experience with multiple design projects. It continues with the optimization of the machine envelope design using an evolutionary algorithm and computationally efficient 3D finite element analysis (FEA) models. The subsequent step focuses on the detailed design of a PCB stator, aiming to minimize eddy and circulating current losses. Several open circuit loss mitigation techniques are proposed based on analytical …

Decoding The Tapestry Of Road Safety: A Comprehensive Exploration Of Safety Restraints, Seat Positions, And Collision Type Interactions Using Traditional And Random Parameter Modeling, Muthumari Anbumani, Srinivas S. Pulugurtha

Kentucky Transportation Center Presentations

No abstract provided.

Pipeline For Fast Digital Twin Development And Integration In Driving Simulation, Zhanqian Wu, Luying Zhang, Jaime Hernandez, Chase Leibowitz, Helen Loeb, Xiaoxia Dong, Erick Guerra, Rahul Mangharam

Kentucky Transportation Center Presentations

The use of digital mapping with precise GPS coordinates has allowed intelligent navigation, which is now ubiquitous in vehicles. The flat 2D imagery provided by Google maps was recently enhanced by the introduction of dynamic 3D representations of the Earth. Unity3D and Unreal Games Engines now offer Application Programming Interfaces that can be leveraged for geospatial applications. This technology, which offers visually compelling results for flight simulation and drone applications, opens new opportunities for driving simulation.This paper presents an innovative approach for developing a drivable Digital Twin of Philadelphia’s Roosevelt Boulevard to enhance urban planning and traffic management using advanced …

Leveraging Technology For Safer Roads For Vulnerable Road Users In South Africa, Ntombifuthi Ngobeni, Busisiwe Marole, Koketso Bosilong, Hlulani Nkuna

Kentucky Transportation Center Presentations

This research aims to enhance road safety, particularly for Vulnerable Road Users (VRUs) such as pedestrians and cyclists, through the use of both cutting-edge technologies and consideration of conventional engineering methods and solutions. The study focuses on innovative solutions related to the road environment and their impact on VRU safety, piloted at selected sites in South Africa. The research investigates the use of technologies such as video cameras, video analysis software, artificial intelligence and machine learning to conduct route risk assessments. These assessments inform the selection and implementation of effective safety measures tailored to enhance VRU safety. By understanding the …

Safety Evaluation Of 2+1 Roadway Design, Kenneth R. Agent, Jeff Jasper

Kentucky Transportation Center Research Report

An assessment and analysis of the safety of 2+1 roads introduced in 2013 and later.

Underground Blast Fragmentation Modeling For Use In The Mine-To-Mill Strategy, Lauren Shields

Theses and Dissertations--Mining Engineering

More than 40 years ago, the mine-to-mill concept was introduced in the mining industry by establishing a relationship or link between processing and mining activities. To date, many successful case studies have documented the evident benefits of the mine-to-mill approach. In most cases, the basis of the mine-to-mill approach is to tailor the details of a blast design and its proper execution in order to satisfy specific mineral processing requirements downstream. Most of the available literature and case studies deal with surface mine operations. Due to the relative simplicity of surface mining, the relationship between the powder factor, defined as …

Predicting Motorcycle Crash Injury Severity In Utah: Utilizing Machine Learning Methods, Isaac Baah, Milan Zlatkovic, Mohamed M. Ahmed

Kentucky Transportation Center Presentations

No abstract provided.

Accurate Knowledge Of Roadway Horizontal And Vertical Alignment Is Essential, Bekir Bartin, Mojibulrahman Jami, Kaan Ozbay

Kentucky Transportation Center Presentations

No abstract provided.

Maximizing Mining Operations: Unlocking The Crucial Role Of Intelligent Fleet Management Systems In Surface Mining’S Value Chain, Arman Hazrathosseini, Ali Moradi Afrapoli

Earth and Environmental Sciences Faculty Publications

On the one side, the operational expenses of mining enterprises are showing an upward trend; and on the other side, conventional mining fleet management systems (FMSs) are falling short in addressing the high-dimensionality, stochasticity, and autonomy needed in increasingly complex operations. These major drivers for change have convinced researchers to search for alternatives including artificial-intelligence-enabled algorithms recommended by Mining 4.0. The present study endeavors to scrutinize this transition from a business management point of view. In other words, a literature review is carried out to gain insight into the evolutionary trajectory of mining FMSs and the need for intelligent algorithms. …

Developing An Immunomodulatory Strategy Using Biophysical Cues To Modulate Macrophage Phenotype For Fracture Healing And Bone Regeneration, Harshini Suresh Kumar

Theses and Dissertations--Biomedical Engineering

Chronic inflammation is a major cause of the pathogenesis of musculoskeletal diseases such as fragility, fracture, and nonunion. Studies have shown that modulating the immune phenotype of macrophages from proinflammatory to pro-healing can heal recalcitrant bone defects. Current therapeutic strategies predominantly apply biochemical cues, which often lack target specificity, and controlling their release kinetics in vivo is challenging spatially and temporally. We have developed a magnetic iron-oxide nanocomplexes (MNC)-based therapy for resolving chronic inflammation in the context of promoting fracture healing. Here, we show that MNC internalized macrophages, when coupled with an external magnetic field, can exert an intracellular magnetic …

Relating Temperature, Sleep, And Pathology In Mouse Models Of Alzheimer's Disease, Jun Wang

Theses and Dissertations--Biomedical Engineering

It is well established that sleep plays an important role in Alzheimer’s disease (AD) pathology. There is growing evidence that sleep issues may accelerate AD pathology by interrupting the physiological clearance of amyloid‐β (Aβ) from the brain, which mainly occurs in normal sleep. As the over-accumulation of amyloid‐β (Aβ) is believed to lead the cascade effect that eventually causes neurodegeneration in AD patients, development of therapeutic strategies for improving sleep quality may help slow disease progression. It is well documented that the composition and dynamics of sleep are sensitive to changes in ambient temperature. We therefore developed a sleep enhancement …

Development Of Iron Oxide Nanozyme For Cancer Therapy, Zhongchao Yi

Theses and Dissertations--Biomedical Engineering

Cancer therapies that leverage reactive oxygen species (ROS) have shown potential for cancer inhibition due to their ability to induce oxidative stress in tumor cells. Iron oxide nanoparticles (IONPs) have garnered significant attention as a promising platform for ROS-dependent disease treatment, owing to their remarkable biocompatibility and Fenton catalytic activity. However, the low catalytic activity of IONPs has been a major hurdle in their clinical translation. To overcome this challenge, IONPs of different compositions are examined for their Fenton reaction under pharmacologically relevant conditions in this work. The results show that wüstite (Fe_1-xO) nanoparticles exhibit higher catalytic activity …

Impact Of Augmented Documentation Workflows On Transportation Agency Asphalt Paving Operations: A Qualitative And Quantitative Study, Josh Withrow

Theses and Dissertations--Civil Engineering

e-Ticketing was an intriguing technology to many state transportation agencies (STAs) pre-COVID-19 pandemic but gained significant attention upon arrival of the pandemic due to the contactless nature of the technology. Research completed prior to the pandemic into e-ticketing for asphalt paving primarily identified qualitative benefits and concerns. However, minimal academic literature exists in the post-pandemic era discussing the additional e-ticketing benefits not previously captured which resulted in increased implementation by STAs. This research seeks to address this gap by gathering information from state members of the American Association of State Highway and Transportation Officials Committee on Construction (AASHTO COC), employees …

Estimation Of Mechanical Behavior Of Unsaturated Soils From A Soil-Water Characteristic Curve, Lucas Acheampong

Theses and Dissertations--Civil Engineering

The small-strain shear modulus and shear strength are two crucial mechanical behaviors used in the design of geotechnical structures and in the analyses of earth materials subjected to static and dynamic loadings. Traditional testing methods for these parameters are expensive and time-consuming. This research aimed to address these challenges by developing a model based on the inverse relationship between mechanical behavior of unsaturated soils and the soil-water characteristic curve (SWCC). The proposed model integrates a scaling function to align the SWCC with the mechanical property curve. Empirical relationships were established for the scaling function, specifically aligning with the air-entry value …

Geophysical Method Used For The Determination And Prediction Of Soil Strength And Stiffness Parameters, Dabo Adama

Theses and Dissertations--Civil Engineering

This paper presents the results of an effort to use geophysical measurements such as seismic wave velocities and electrical resistivities to calculate airfield design parameters. The study converts all geophysical measurements to equivalent California Bearing Ratio (CBR) values, comparing CBR values estimated from DCP penetration resistance with CBR values estimated from shear wave velocity and electrical resistivity values. Relationships linking the geophysical measurements to CBR estimates were established using laboratory data and applied to field in-situ measurements. The elastic modulus (E) is the stiffness parameter involved in predicting soil strength and stiffness. This research aims to relate electrical conductivity and …

Analysis And Improvement Of The Kentucky Transportation Cabinet’S Serious Injury And Fatality Program, Arun Subedi

Theses and Dissertations--Civil Engineering

Serious Injuries and Fatalities (SIFs) within construction and maintenance industries indicate severe vulnerabilities within workplace safety, and their prevention requires the highest priority. SIFs usually occur due to systemic failures, and proactive steps must be taken to identify and neutralize high-risk scenarios. Kentucky Transportation Cabinet (KYTC) has recently implemented a safety management system called BOOTS, for improving incident reporting and analysis along with SIFs. This study identifies gaps in KYTC's SIF reporting framework and provides analysis on recurring incident trends utilizing the incidents already reported in the system. While current practice in KYTC relies on event-based decision tree when classifying …

Digital Innovation Roadmap For Construction Industry: Bridging The Gap For Future, Nisa Zahin

Theses and Dissertations--Civil Engineering

Digitalization has considerable value in the digital transformation of the construction business. It means the use of digital technologies to create revenue, improve business, increase profit and sustainability, and create an environment for digital business whereby digital information is at the core. As such, digital transformation requires skills that involve extracting and exchanging data and analyzing and converting that data into actionable information. In addition to technological solutions, a paramount need is to ensure that the people using these solutions and the processes used to integrate, coordinate between teams, and continuously improve the use of technology are in place. Therefore, …

The Characterization And Nanomechanical Properties Of Microstructurally Complex Systems, Kerry Ann Baker

Theses and Dissertations--Chemical and Materials Engineering

Since the dawn of civilization, the use of metals has played an integral role in the evolution of human society. Over the years, and with the introduction of new engineering and science, we have learned how to combine metals to create new metallic systems. We have expanded our understanding of dealloying and chemical reactions, and, in doing so, we created nanoporous metals. Our use of metals has evolved from basic alloys such as bronze and steel to more complex alloys such as multi-principal element alloys. Nanoporous gold is an advanced metallic system that can be created through the dealloying process. …

Advancing Combinatorial Screening Of Refractory High Entropy Alloys Through Intrinsic Ductility Assessment Via Thin Film Fragmentation Testing, Taohid Bin Nur Tuhser

Theses and Dissertations--Chemical and Materials Engineering

High Entropy Alloys (HEAs), also known as Multiprincipal Element Alloys (MPEAs), represent a paradigm shift in alloy design. Unlike traditional practices that limit compositions to the edges of phase diagrams, HEAs exploit equiatomic mixing of five or more elements at the center of phase diagrams to maximize configurational entropy. This unconventional approach exponentially expands the spectrum of potential alloy compositions, rendering conventional experimental methods inadequate for exploring this extensive compositional space.

In response to these challenges, the scientific community has shown a growing interest in high-throughput techniques, encompassing both computational and experimental domains. Particularly, Refractory High Entropy Alloys (RHEAs) have …

Microstructural Investigation Of The Influence Of Geometry On The Mechanical Reliability Of Additively Manufactured Metals, Tracy Connor Varney

Theses and Dissertations--Chemical and Materials Engineering

The adoption of additive manufacturing across a wide range of fields is ever-increasing, allowing for solutions that were previously impossible to achieve. This dissertation demonstrates the wide range of macro- and micro- characterization techniques used to investigate several precipitation strengthened AM alloy systems. While AM allows for nearly unlimited design freedom, this brings along its own issues as the interplay between scan strategy and part geometry is less well known. In this work, a novel thin-wall dogbone geometry was utilized to study one type of complex geometry observed in a large portion of AM focused designs. The mechanical behavior of …

Language Models For Rare Disease Information Extraction: Empirical Insights And Model Comparisons, Shashank Gupta

Theses and Dissertations--Computer Science

End-to-end relation extraction (E2ERE) is a crucial task in natural language processing (NLP) that involves identifying and classifying semantic relationships between entities in text. This thesis compares three paradigms for end-to-end relation extraction (E2ERE) in biomedicine, focusing on rare diseases with discontinuous and nested entities. We evaluate Named Entity Recognition (NER) to Relation Extraction (RE) pipelines, sequence-to-sequence models, and generative pre-trained transformer (GPT) models using the RareDis information extraction dataset. Our findings indicate that pipeline models are the most effective, followed closely by sequence-to-sequence models. GPT models, despite having eight times as many parameters, perform worse than sequence-to-sequence models and …

Optoelectrical Properties And Photostability Of Cspbbr3 Quantum Dots: Effects Of Dopants And Ligands, Md Shad Bin Salam

Theses and Dissertations--Chemical and Materials Engineering

Metal halide perovskite QDs have a great potential for displays and lighting because of their exceptional optoelectronic characteristics associated with quantum confinement effect. However, the stability in the environment during the applications of halide perovskite QDs remains a significant challenge, impeding their practicality and lowering their commercial scalability. High-temperature methods are well-established for producing doped perovskite QDs, the influence of room-temperature synthesis on thermal, size-dependent optical properties, and long-term stability remains inadequately understood. Also, there is a demand for strategies to increase the absorption of light, reduce trap states, and modify the energy levels of perovskite QDs.

In this study, …

Thermal Alteration Of The Mineralogy Of Calcium Sulfoaluminate Cements: Implications For The Performance Of Rapid Repair Materials, Jillian Cavellier

Theses and Dissertations--Earth and Environmental Sciences

Calcium sulfoaluminate (CSA) was developed in part to lessen the environmental impact of cementitious materials compared to traditional Portland cements. CSA was first put into production in the 1970s and has been undergoing various performance testing to investigate its durability. Yet to be evaluated is CSA’s response to a rapid, high temperature event. In this study, X-ray diffraction, thermogravimetric analysis, Fourier transform infrared spectrometry and scanning electron microscope imaging were used to analyze alterations in the mineralogy due to such an event. As found in previous studies, after ~125°C, ettringite has been completely dehydrated. Ettringite decomposes into bassanite and calcium …

Visualizing And Automating Past, Real-Time, And Forecast Dynamic Hazard Maps For Shallow Colluvial Landslides In Eastern Kentucky, Nathaniel O'Leary

Theses and Dissertations--Earth and Environmental Sciences

Landslide hazards are a persistent threat to communities and infrastructure in Eastern Kentucky, where steep slopes, shallow colluvial soils, and variable hydrological conditions make slope failures frequent. This thesis presents an integrated approach to landslide hazard mapping (LHM) through the development of dynamic, spatiotemporal LHMs for shallow colluvial landslides. Two studies within this work investigate and refine the use of the Lu and Godt (2008) factor of safety (FS) equation to improve landslide predictions. The first study establishes a novel LHM workflow using Hydrus-1D to simulate soil moisture infiltration and fluctuations from precipitation and evapotranspiration (ET) data. This study also …