Engineering Commons^™

Rapid Prediction Of Coastal Flooding With Deep Neural Networks, Ali Shahabi, Navid Tahvildari

Graduate Student Government Association Research Conference

With the increasing impact of climate change and relative sea level rise, low-lying coastal communities face growing risks from extreme storm tides and recurrent nuisance flooding. Thus, timely and reliable predictions of coastal water levels are critical to resilience in vulnerable coastal areas. Over the past decade, enormous efforts have been made to utilize machine learning (ML) based data-driven models for the emulation and prediction of storm tides. However, flood advisory systems still rely on running computationally demanding real-time hydrodynamic models. because developing highly reliable ML-based models suitable for real-time forecasting and capable of capturing any surge levels is challenging. …

Optimized Hiv/Aids Resource Allocation In Ohio: A Linear Programming Approach, Godfred Ahenkroa Kesse

Data Science and Data Mining

This study employs a linear and integer programming approach to optimize HIV resource allocation in Ohio, aiming to minimize new infections and enhance the impact of limited resources. With the advances in HIV prevention and treatment, Ohio faces challenges in addressing disparities in access to healthcare, particularly among high-risk populations. The proposed model integrates data on infection rates, transmission patterns, demographic factors, and cost-effectiveness to provide a decision-support framework for policymakers. Using epidemiological data and equity constraints, the model prioritizes high-risk regions and populations while ensuring fair resource distribution. Results indicate that increased funding allocations significantly enhance the potential to …

Performance Assessment Of Fiber-Reinforced Asphalt Mixtures: A Comprehensive Laboratory And Full-Scale Investigation, Ali Raza Raza Khan

Theses and Dissertations

Asphalt concrete is a composite material widely used in the construction of roads; however, fatigue cracking (load associated), thermal cracking (non-load associated), and permanent deformation (or rutting) are the most challenging issues in flexible (or asphalt) pavement structures. These distresses affect ride quality and are considered the most well-known pavement deterioration types. Several modifiers have been used as potential solutions to cracking and rutting of asphalt mixtures (i.e., polymers, geogrids etc.). Among these modifiers, fibers were introduced to improve the resistance of asphalt mixtures to rutting and cracking. Addition of fibers into the asphalt mixture is always challenging because of …

Using Unmanned Aerial Vehicles To Facilitate Traffic Incident Management, Adam William Hill

Theses and Dissertations

Incident management teams (IMTs) minimize crash impacts and create a safer highway network for people and communities. Research has shown that optimizing the IMT fleet has strong benefits to the roadway network, but future models indicate that increasing IMT presence may have diminishing returns after excessive roadway saturation. The Utah Department of Transportation (UDOT) would like to improve situational awareness in areas of poor or limited camera coverage, where situational awareness is typically poor. UDOT is considering the use of unmanned aerial systems (UAS) to provide live camera coverage of traffic conditions in these instances. This thesis synthesizes practice from …

A Geomatic Appraisal On Restoration Of Tank Cascade Systems In Ambuliyar Watershed, Tamilnadu, Nasir N

Theses and Dissertations

Tanks and earthen embankments used for water harvesting and storage have been a significant part of India's irrigation system since the 2nd and 3rd centuries. In Tamil Nadu, around 39,202 tanks have storage capacities of around 178.94 million cubic feet. However, they have been impacted by natural and anthropogenic threats such as soil erosion, siltation, inadequate rainfall, and drought. This study aims to determine the current storage capacity of tanks, estimate the loss in storage capacity/volume of silt, estimate the rate of siltation and life of tanks, identify soil erosion-prone zones, and map deteriorating parameters along supply channels.

The study …

Generating Real-Time Synthetic Datasets To Improve Aerial Object Detection, Garrett Williams

Theses and Dissertations

The widespread use of unmanned aerial vehicles (UAVs) across civilian and military applications has necessitated the advancement of real-time drone detection and tracking capabilities. Machine Learning (ML) addresses these requirements, however, to train a robust and generalizable model requires large and diverse video datasets. Curating these real-world datasets is often time-consuming and cost-prohibitive. Here, we present DyViR, a real-time customizable rendering application capable of automatically generating highly realistic synthetic, multi-modal video of aerial objects, digital environments, and automatic generation and labeling of bounding boxes. Synthetic data, coupled with real-world training sets, augment the ML training process, leading to increased performance …

Biobased Acrylate Composites With Enhanced Strength For Additive Manufacturing, Nicole Wagner, Joseph Mcwherter

Engineering Faculty Articles and Research

With the expanding use of polymers in additive manufacturing, sustainable resins for use in vat photopolymerization are required to reduce their environmental impact. One promising approach to achieve this is to incorporate biobased fillers that replace the acrylates in photopolymer resins as ‘green’ alternatives. In this study, photopolymer composites consisting of a methacrylate resin with varying calcium carbonate powder content between 0 and 50 wt.% were investigated. A digital light processing technique was used to fabricate tensile test specimens for mechanical testing. Good printability, dimensional accuracy, and good interlayer adhesion were observed for composite resin formulations that incorporated calcium carbonate …

A Review On Exploring Artificial Intelligence Applications, Advancements, Issues, And Future Challenges, Sajid Naeem, Novman Nabeel, Waseem Beg, Shujaat Ali, Rajiv N. Kanojiya, Satish S. Mandawade, Chetan R. Yewale, Sc Kulkarni, Vt Salunke, Av Patil

Polytechnic Journal

Artificial intelligence (AI) is a transformative technology with diverse applications that is transforming several industries. AI is the use of systems and technology to replicate human intelligence and solve common real-world issues. Machine learning (ML) and deep learning are AI technologies that use algorithms to more accurately predict occurrences without the need for human intervention. Explainable Artificial Intelligence (XAI) refers to AI that can explain decisions or forecasts to human users. XAI seeks to improve AI systems' transparency, trustworthiness, and accountability, particularly when utilized in high-risk applications such as healthcare, finance, or security. This review article provides a thorough overview …

A Comparative Study On Natural Vs. Synthesized Polymers Combined With Silica Nanoparticles To Maximize Secondary Oil Recovery, Attia Attia, Mohamed Sadek Hamedi Al, Waleed Abd-Alsabour Ali Eng., Zeyad Tamer Elshony Eng.

Petroleum Engineering and Gas

Polymer flooding is a well-established technique for enhancing oil recovery from reservoirs. In this study, we investigate the performance of two different polymers, Xanthan Gum, and HPAM for secondary oil recovery in the sand pack. The effects of polymer concentration and high salinity on oil recovery are studied. The polymers are characterized using various measurements and tests, including viscosity, shear rate, and interfacial tension. The sand pack flooding experiments are conducted under various conditions, including varying polymer slugs, and nanosilica (silicon dioxide SiO2) concentration. The results are analyzed to determine the optimal conditions for polymer flooding for enhanced oil recovery. …

Lustr20 Thermal Profiling Repository Data, Paul Van Susante

LuSTR20 Datasets

The PSTDL was a recipient of a 2020 NASA’s Lunar Surface Technology Research grant (LuSTR20) for the development of a lunar prospecting instrument known as the Percussive Hot Cone Penetrometer (PHCP) in combination with Ground Penetrating Radar (GPR). The goal of this project is to produce a science instrument that is capable of probing the lunar surface up to a depth of 1 meter to extract the geotechnical properties of the lunar regolith, identifying the vertical and lateral concentrations of volatiles present.

The Hidden Cost Of Using Time Series Aggregation For Modeling Low-Carbon Industrial Energy Systems: An Investors’ Perspective, Markus Fleschutz

Publications

Time series aggregation (TSA) is commonly used in energy system optimization to reduce model complexity and computational expenses by selecting periods to represent the entire time series. TSA’s accuracy has traditionally been assessed by comparing the objective values between the original and TSA models (assumed error). However, evaluating TSA from an investor’s standpoint involves analyzing the performance of TSA-based energy system designs using the original time series. Therefore, we introduce the hidden error and total error, novel error metrics, to evaluate the financial implications of TSA through backtesting the TSA-based system designs using the original time series. Our analysis extends …

Selective Leaching Of Rare Earth Elements From Complex Rare Earth Ore Using Deep Eutectic Solvents, Frank Agyemang, Mehran Saddat, Zainab Nasrullah, Richard Ladouceur

Metallurgical & Materials Engineering

Rare earth elements (REEs) are valuable for various modern technological applications, including metallurgy, machine building, radio electronics, instrument engineering, nuclear engineering, and manufacturing. The extraction and separation of rare earth elements (REEs) from their complex ores is challenging due to their distinct physical and chemical properties, contributing to their market scarcity. At present, REE recovery utilizes traditional pyro- or hydrometallurgical processes. The overall process in the recovery and separation of individual elements from complex REE systems suffers from high energy demands and the use of many hazardous chemicals that negatively impact the environment. With the growing trend toward a circular …

Process Intensification By Resonant Vibratory Mixing For The Recyclable Samarium - Cobalt Magnets After Chemical Leaching With Deep Eutectic Solvents, Zainab Nasrullah, Frank Agyemang, Mehran Saddat, Richard Ladouceur

Metallurgical & Materials Engineering

To sustain the circular economy, defense applications, and other renewable technologies, recycling rare earth elements (REEs) and other critical elements from their secondary resources is important. This cause has resulted in rigorous research and development for viable extraction and separation of REEs. Previously, Sm-Co recycling has been done with technologies, which fall under the categories of pyrometallurgy, physical separation, and hydrometallurgy. All these methods have limitations associated with energy, cost, and environment. Reportedly, the chemical leaching technology has successfully recovered and separated Sm-Co. Still, it has limitations associated with slow mass transfer and leaching kinetics, and there is a need …

Nh Stormwater Manual 2025, Unh Stormwater Center, Comprehensive Environmental Inc., Nh Department Of Environmental Services

UNH Stormwater Center

No abstract provided.

Simulation-Based Models For Postearthquake Response: A Survey And Research Directions, Abhijit Gosavi, Lauryn A. Spearing, Lesley H. Sneed

Engineering Management and Systems Engineering Faculty Research & Creative Works

Computer simulation is increasingly being used by emergency planners as a tool to improve disaster response given that it can model real-world scenarios, such as earthquakes. Although there has been an increase in simulation research focused on disaster response, much of this literature is from disparate fields and across disaster scenarios. To bridge this gap, this paper surveys simulation-based models for post-earthquake response from the year 2000 onward. Advantages of simulation over closed-form statistical models are discussed. Three main subproblems in post-earthquake response models are explored: (1) service distribution (e.g., food, water), (2) infrastructure restoration (at the building and transportation …

Blast Tube Design: How Shape And Size Influence The Resultant Shock Wave, R. L. Bauer, C. E. Johnson

Mining Engineering Faculty Research & Creative Works

Shock tubes and tunnels are often used in research settings as a way of producing high pressure shock waves in a smaller footprint or without the use of explosives. However, there is no standard geometric design across laboratories. Peak pressure is a significant parameter for characterizing a shock wave. However, different tube configurations could also affect parameters such as impulse and duration, yet no research has investigated how the scale of the tube affects the overall waveform shape. To understand the implications of shock tube design, tubes with a constant length to diameter ratio were evaluated to determine how tube …

Application Of Cementitious Materials And Fiber Reinforcement To Enhance Lime Stabilization For Nebraska Shale Soils, Jongwan Eun, Seunghee Kim, Chung R. Song, Laith Ibdah, Kenaz Owusu

Nebraska Department of Transportation: Research Reports

Lime stabilization is a widely used technique to improve weak subgrades; however, its effectiveness under freeze-thaw cycles remains a critical challenge. This study investigates the incorporation of cementitious materials and fiber to enhance the mechanical properties and environmental resistance of lime-stabilized soils under such conditions. Two types of soil, gray shale (plasticity index of 37.8) and clay soil (plasticity index of 19.0) from Nebraska, were used. Stabilization mixtures included lime dosages of 0%, 3%, and 6% by weight, combined with either 10% fly ash or 3% and 6% cement by weight, and 0% and 1% fiber. The experimental program comprised …

Building Services Engineering January/February 2025

Building Services Engineering

No abstract provided.

Integration Of Artificial Intelligence With A Customized Four-Probe Station For I-V Characteristic Classification And Prediction, Sameh O. Abdellatif, Ahmed Ghanem, Ahmmat Abdel Whahid, Amr Hatem, Belal Ahmed

Electrical Engineering

The incorporation of Artificial Intelligence (AI) is pivotal in automating intricate technical tasks, significantly enhancing accuracy and efficiency while alleviating the burdens of repetitive monitoring traditionally borne by technicians. This study focuses on developing a customized four-probe station integrated with sophisticated AI models aimed at classifying current–voltage () characteristics and extracting essential parameters. Our methodology encompasses the fabrication of precision-engineered gold-plated probes, meticulously assembled with a three-dimensional (3D) moving head to ensure optimal contact and measurement fidelity across a variety of electronic and optoelectronic devices. Data acquisition is executed via a source meter unit, followed by rigorous post-processing utilizing advanced …

Multi-Scale Modeling Of Transport Properties In Cementitious Materials With Go Admixture, Bing Liu, Weichen Kang, Weixing Lian, Feng Xing, Hongfang Sun, Hongyan Ma

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

In coastal areas, the presence of concrete cracks provides pathways for hazardous ions to ingress from the exterior into the interior of concrete, while the migration of the ions further accelerates concrete deterioration and causes durability problems. The incorporation of graphene oxide (GO) into concrete can inhibit crack initiation and development starting at the nanoscale, improving the concrete microstructure, thereby affecting concrete's resistance to hazardous ion transport and the resulting deterioration. In this study, a multi-scale transport model for cementitious materials with a GO admixture was established to predict the resistance to hazardous ions. Based on the determination of hydration …

Integrating The Interconnections Between Groundwater And Land Surface Processes Through The Coupled Nasa Land Information System And Parflow Environment, Fadji Z. Maina, Dan Rosen, Peyman Abbaszadeh, Chen Yang, Sujay V. Kumar, Matthew Rodell, Reed Maxwell

Civil and Environmental Engineering Faculty Publications and Presentations

Understanding the interactions between the atmosphere, the land, and the subsurface is fundamental to hydrology and is critical for a better assessment of the impacts of climate change and human management on hydrological systems. However, many land surface models simplify the subsurface hydrology and thereby these interactions. In this study, we couple the land surface model Noah‐MP included in the NASA Land Information System (LIS) with the integrated hydrologic model ParFlow (ParFlow‐LIS) using the Earth System Modeling Framework (ESMF) and the National United Operational Prediction Capability (NUOPC). This coupling improves the simulation of water and energy cycle processes by adding …

How Was Your Crossing Experience? Development Of A Pedestrian Satisfaction With Unsignalized Crossings Scale, Seth Lajeunesse, Wesley Kumfer, Sirisha Kothuri, Krista Nordback, Nathan Mcneil

Civil and Environmental Engineering Faculty Publications and Presentations

Unsignalized pedestrian crossing accommodations can improve pedestrian safety, yet their quality of service for pedestrians remains understudied. The present study explored whether and how pedestrians’ satisfaction with crossing unsignalized crossings varied according to the type of crossing accommodation used, that is, the rectangular rapid-flashing beacon (RRFB) with median island, median island alone, marked crosswalk, and unmarked crosswalk. The research team collected intercept survey and video observation data from 358 pedestrians across a total of 40 sites in two different cities. Structural equation models illustrated how pedestrians’ crossing-oriented satisfaction was shaped by their positive perceptions of safety and low levels of …

Risk-Based Methodology For Structural Evaluation Of Bridge-Sized Culverts, David Yang, Kevin White, Timothy Wood

Civil and Environmental Engineering Faculty Publications and Presentations

This report presents the results of the project sponsored by the Federal Highway Administration (FHWA), “Risk Based Methodology for Structural Evaluation of Bridge-Sized Culverts”. The goal of this project was to develop general methodology to (a) quantify uncertainty, especially live load uncertainty, unique to bridge-sized RC box culverts and (b) analyze and calibrate reliability of culverts rated under different rating loads. Over 344 combinations of culvert designs and backfill depths were analyzed based on the AASHTO Manual for Bridge Evaluation as well as the three-dimensional finite element models (FEMs) of the soil-culvert systems. For each combination, a wide range of …

Impact Of A Kinesthetic Learning Model On Architecture, Engineering, And Construction (Aec) Knowledge In African American Middle School Girls, Mercy F. Fash, Andrea A.N Ofori-Boadu

Journal of Research Initiatives

This study examines the impact of a femalized Architecture, Engineering, and Construction Kinesthetic Learning Model (fAEC-KLM) intervention on the AEC knowledge of African American middle school girls. Fourteen (14) middle school girls completed both pre- and post-surveys and tests that assessed their knowledge of AEC concepts, including roles and responsibilities, gender and racial diversity, and salary benefits. Paired-sample t-tests were utilized to evaluate statistically significant differences in knowledge before and after fAEC-KLM intervention. Results showed notable improvements in students' knowledge of AEC salary and benefits, as well as the underrepresentation of females, particularly African American females, and AEC roles and …

Connecting Developed Pressure – Preload Relationship In Ex-Vivo Beating Heart With Cellular Sarcomere Length – Tension Relationship, Lei Fan, Vahid Ziaei-Rad, Jason Bazil, Lik Chuan Lee

Biomedical Engineering Faculty Research and Publications

The heart’s developed pressure (DP) in Langendorff heart experiments increases with preload via the Frank-Starling mechanism up to a critical transition point at which DP starts to decrease with preload. A similar behavior is found at the cellular level, where the tension developed by skinned cardiac fibers or myocytes in isometric tension test increases with sarcomere length up to a transition point beyond which, the tension decreases. This cellular-level behavior is termed myofilament length dependent activation. While these two behaviors are similar, they occur at vastly different scales. Specifically, the DP – preload and sarcomere length – tension relationships occur, …

Construction Change Order Data As Inputs For A Programmatic Risk Model, Eric C. Klein

Theses and Dissertations

Hurricane Michael struck Tyndall Air Force Base as a Category 5 storm with 160 mph winds, damaging or destroying 90% of its infrastructure (484 buildings). This devastation prompted the Department of Defense to rebuild Tyndall as the “Installation of the Future,” encompassing 44 Military Construction (MILCON) projects and 260 Facility Restoration, Sustainment, and Modernization (FRSM) projects. Since reconstruction began, over 630 Change Request Forms (CRFs) have been closed, adding $67.8 million in costs and 4,880 construction days. The Air Force Civil Engineer Center's Natural Disaster Recovery (NDR) Division developed a programmatic risk model to predict future costs and delays. However, …

Phosphorus Recovery From Synthetic Stormwater Using Iron- And Slag-Amended Green Infrastructure Soils, Colin B. Wilson, Anthony J. Parolari, Brooke Mayer, Kaushik Venkiteshwaran

Civil and Environmental Engineering Faculty Research and Publications

The demand for phosphorus (P), fueled by the need for fertilizers to increase food production due to the ever-increasing population, is increasing P in the environment and diminishing global reserves of this nonrenewable resource. Stormwater runoff transports land-applied P into surrounding waterbodies. Green infrastructure (GI) soils are being engineered to target P removal from stormwater runoff. This research investigates the potential to recover P from engineered GI soils traditionally developed to remove P, contributing to the circular P economy by considering GI as a source of recoverable P. Batch experiments were conducted to determine the P removal performance of iron- …

Current Practices In Rock Scaling, Daryl J. Greer, Kean H. Ashurst Jr

Kentucky Transportation Center Research Report

Rockfalls, which result from the chemical and physical weathering of aging exposed rock cuts, occur frequently along many Kentucky roadways and can endanger travelers. Mitigating rockfalls often requires substantial excavation, procuring additional right of way, and/or hiring specialty contractors. An alternative to these expensive processes is rock scaling, which can be a cost-effective tool for mitigating rockfalls. Rock scaling entails removing loose and unstable rocks from rock cut slopes within the right of way to reduce rockfall risk and is being used with increased frequency by state transportation agencies around the country. The Kentucky Transportation Cabinet (KYTC) has completed several …

Bridge Load Posting Based On Load Testing, Cody Hutchinson, Abheetha Peiris, Issam Harik

Kentucky Transportation Center Research Report

AASHTO’s Manual for Bridge Evaluation (MBE) provides guidance for analytically evaluating bridge capacity based on available design information and the results of field inspections. This analysis results in a rating factor (RF), which quantifies a bridge’s safe load carrying capacity. RF accuracy, however, depends on the availability of information about structural details and material properties. As such, load rating bridges without design plans is difficult as field inspections alone often cannot provide enough information to perform detailed analysis. In many instances this means that a bridge would possess a substandard rating factor (RF < 1.0) simply due to the conservative assumptions required to perform traditional analysis. The most effective method for safely modifying such conservative theoretical rating factors is through load testing. Load testing measures actual bridge behavior and, for most bridges in good health, finds an increase in load rating is justified. This project utilized load testing to load rate 14 bridges in Kentucky that lack structural plans. Researchers first determined theoretical ratings using MBE-prescribed methods. For information typically taken from design plans, but which could not be measured directly, data-backed methods for making conservative assumptions were developed. For most bridges included in the study, theoretical rating factors alone suggested load postings were necessary. Load testing was then carried out utilizing tandem rear-axle dump trucks with measured axle weights. Multiple single-lane load cases were selected to maximize the effects being rated. Strain data were collected in real time using a wireless reusable strain gage system. Using these data, researchers computed a field test adjustment factor using MBE methods which directly modified the calculated theoretical RFs. Ultimately, load testing provided sufficient evidence to safely recommend that load postings were not necessary for any bridges in this study.

Rheology And Early-Age Structure Development In Binary And Ternary Blends Modified With Novel Graphene Types, Sahil Surehali, Collin Gustafson, Sayee Srikarah Volaity, Ranjith Divigalpitiya, Aditya Kumar, Narayanan Neithalath

Materials Science and Engineering Faculty Research & Creative Works

Interest in the use of graphene to enhance the properties of cementitious materials is growing, but major impediments in implementation are the cost of graphene and changes in binder rheology attributable to these nanomaterials. This study explores the influence of novel, cost-effective, environment-friendly, and mass-producible graphene on the rheology and early-age structure development of cementitious binders. Two novel graphene types—fractal graphene (FG) and reactive graphene (RG)—are used in plain cement mixtures as well as those containing 30 % (by mass) of fly ash and/or limestone powder, at low dosages of ≤0.02 % by mass of binder. The early- and later-age …