Engineering Commons^™

Alkali-Silica Reaction Mitigation Using Alternative Supplementary Cementitious Materials, Craig Newtson, Judit M. Garcia, Seyedsaleh Mousavinezhad

Data

Over the past few decades, Class F fly ash has been widely used in concrete as a supplementary cementitious material (SCM) due, in part, to its ability to mitigate alkali-silica reaction (ASR). However, future availability of fly ash is uncertain as the energy industry shifts towards renewable sources, resulting in the closure of coal-burning power plants. Therefore, there is a growing need to find alternatives to fly ash that are both cost effective and environmentally friendly. This study aimed to evaluate the effectiveness of ground-granulated blast furnace slag (GGBFS), metakaolin, and a locally available natural pozzolan mined from a pumicite …

Accelerated Sulfate Attack Testing For Concrete, Craig Newtson, Seyedsaleh Mousavinezhad, William Toledo, Federico Aguayo

Data

Extensive research has been conducted on sulfate attack of concrete structures, however, the need to adopt use of more sustainable materials is driving a need for a quicker test method to assess sulfate resistance. Class F fly ash, which is a byproduct of coal combustion for electricity generation, has historically been used in concrete mixtures to improve sulfate resistance. However, environmental considerations and evolving energy industry has decreased its availability, requiring the identification of economically viable and environmentally friendly alternatives to fly ash. Another challenge in addressing sulfate attack durability issues in concrete is that the standard sulfate attack test …

Assessing Boil Water Notices As Health-Risk Communication: Risk Perceptions, Efficacy, And Compliance During Winter Storm Uri, Ashleigh M. Day, Sydney O'Shay, Khairul Islam, Matthew W. Seeger, Shawn P. Mcelmurry

Open Data at Wayne State

Winter Storm Uri was an extreme disaster that impacted much of the United States during February of 2021. Texas and Oklahoma were generally not prepared for such an event and experienced massive power grid failures. This led to cascading risks including water system disruptions and many boil water notices (BWNs). The breakdown of some communication channels and the inability to enact protective actions due to power outages, as well as travel limitations on public roads, complicated both dissemination and implementation. Under these conditions, a non-representative, cross-sectional, survey was collected to assess individuals experience BWNs and how perceived efficacy impacts compliance. …

Data From: Shallow-Water Habitat In The Lower Columbia River Estuary: A Highly Altered System, Will Templeton, David Jay, Heida Diefenderfer, S. A. Talke

Civil and Environmental Engineering Faculty Datasets

This is the dataset to accompany the article, Shallow-Water Habitat in the Lower Columbia River Estuary: A Highly Altered System [Data set], accepted for publication in Estuaries and Coasts.

OVERVIEW OF THE SUPPLEMENTAL DATA FILES:

The files include water level data for 26 locations across varying time frames, as described below, and Columbia and Willamette River discharge measurements and estimates for observed, naturalized, and adjusted flows.

All water levels:

1. All water levels are reported as six-minute interpolated water level records derived from measured water levels. 2. The first column is date-time with date and time separated by a …

Design And Implementation Of A Behavioral Sequence Framework For Human-Robot Interaction Utilizing Brain-Computer Interface And Haptic Feedback, Sudip Hazra, Shane Whitaker, Panos S. Shiakolas

Mechanical and Aerospace Student Research - Archive

In assistive robotics, research in Brain Computer Interface aims to understand human intent to enhance Human- Robot Interaction and augment human performance. In this research, a framework to enable a person with an upper limb disability to use an assistive system towards maintaining self-reliance is introduced and its implementation and evaluation are discussed. The framework interlinks functional components and establishes a behavioral sequence to operate the assistive system in three stages; action classification, verification, and execution. An action is classified based on identified human intent and verified through haptic and/or visual feedback before execution. The human intent is conveyed through …

Encrypted Malicious Network Traffic Detection Using Machine Learning, Niklas Knipschild

Symposium of Student Scholars

The research project aims to find ways to detect malicious packets inside encrypted network traffic. In addition to this goal maintaining user privacy is a priority. As encryption has become less expensive to implement more and more network traffic is encrypted. Currently, 90% of all network traffic is encrypted, and this trend is expected to increase. The creators of malware areemploying various methods to ensure delivery of their malware, including encryption. One proposed method to combat this suggests implementing machine learning with various algorithms to analyze packet attributes to determine if they contain malware, without actually knowing what's inside …

Carbon Fibers Recycling From Degraded Prepregs And Mechanical Properties Or Recycled Composite, Monjur Morshed Rabby, Minhazur Rahman, Partha Pratim Das, Vamsee Vadlamudi, Rassel Raihan

Institute of Predictive Performance Methodologies (IPPM-UTARI)-Archive

The size of the global composites market is anticipated to grow more than previously. Due to the rapidly rising volume of CFRP production, the waste from this material poses numerous problems and has significantly increased the socio-technological pressure to find sustainable composite recycling solutions. The problem is that recycling the composite part is challenging once its service life has expired. The same problem is true for the raw materials (prepregs) used in composite manufacturing. When the prepreg out-life/shelf-life is over, prepregs are abandoned, resulting in a loss of millions of dollars and an adverse environmental effect. In this study, the …

Murine Hearing Abr/Dpoae Assessments In Cmv-Infected Mouse Pups Receiving Peritoneal Antivirals Of Gcv, Quercetin+P188, Or A Combination. Controls Include Infected And Untreated And Non-Infected And Treated. Second Dataset Of Antiviral Assay In A Murine Stria Vascularis (Sv) Monolayer Cell Culture, David Britt, Albert Park

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Ganciclovir (GCV) has been shown to be an effective antiviral for the treatment of congenital cytomegalovirus (cCMV) induced sensorineural hearing loss. However, dose-dependent adverse effects (e.g. neutropenia) require strict, burdensome monitoring, limiting GCV use in some patients. Quercetin is a flavonoid with antioxidant properties that has demonstrated antiviral therapy against CMV. Although more benign than GCV, quercetin has limited therapeutic value due to its poor solubility. We previously reported that GCV improves hearing thresholds in a murine model of cCMV. We also noted that solubilizing quercetin with poloxamer 188 (P188) and combining with GCV therapy amplified CMV inhibition in murine …

Data From: Warming Of The Columbia River, 1853 To 2018, Malia Hanae Scott, Stefan Talke, David Jay, Heida Diefenderfer

Civil and Environmental Engineering Faculty Datasets

Water temperature is a critical ecological indicator; however, few studies have statistically modeled century-scale trends in riverine or estuarine water temperature, or their cause. Here, we recover, digitize, and analyze archival temperature measurements from the 1850s onward to investigate how and why water temperatures in the lower Columbia River are changing. To infill data gaps and explore changes, we develop regression models of daily historical Columbia River water temperature using time-lagged river flow and air temperature as the independent variables. Models were developed for 3 time periods (mid-19 th , mid-20 th , and early 21 st century), using archival …

Comparisons Of Cooling Performance And Flow Characteristics Of A Combustor Liner Plate With Compound Angle And Simple Angle Effusion Holes, Hwabhin Kwon, Phillip M. Ligrani, Sneha R. Vanga, Heesung Park

PRC-Affiliated Research

The present investigation considers a unique compound angle arrangement, never previously considered, with α = 30°, β = ±30°, such that the compound angle of the effusion holes changes from β = +30° to β = −30°, as adjacent rows of effusion holes are encountered. Also provided are data for comparison from a simple angle configuration with α = 30°, β = 0°. Coolant is supplied to both effusion hole arrays using arrays of impingement cooling jets. The results of the numerical simulations are obtained using the ANSYS FLUENT V 21.1 numerical code, with a shear stress transport (SST) k–ω …

A New Generation Of Dense-Graded Asphalt Mixtures With Superior Performance Against Stripping And Moisture Damage, Mostafa Elseifi, Zahid Hossain, Md. T.A Sarkar, Hossam Abohamer, Mohammad Oyan

Data

The presence of moisture beneath the pavement surface is a matter of great concerns as it is responsible for significant distresses such as asphalt concrete (AC) stripping, fatigue cracking, rutting, and poor durability of asphalt mixes. The objective of this study was to evaluate and recommend an asphalt mixture design that would provide superior performance against AC stripping and cracking. To achieve this objective, a laboratory test factorial was developed to evaluate the use of nanomaterials, emerging anti-stripping agents, warm-mix asphalt technologies, and adhesion promotors. In the experimental program, the modified Lottman test (AASHTO T 283) and the Indirect Tensile …

On The Development And Evaluation Of A Framework For Brain-Computer Interface And Vibrotactile Feedback For Human-Robot-Interaction In Virtual Spaces And Robotic Hardware, Sudip Hazra, Shane Whitaker, Panos S. Shiakolas

Mechanical and Aerospace Student Research - Archive

Research in Brain-Computer Interface (BCI) aims to understand human intent with the goal to enhance Human-Robot Interaction (HRI) especially in the field of assistive robotics. The goal of this research is to develop a behavioral sequence based framework to help persons with upper limb disabilities to maintain self-dependence. The framework aims to operate in stages and links multiple functional components to identify human intent and control a robotic arm. The development, operation, and evaluation of the framework and the linked functional components to acquire, process, evaluate, and map BCI signals generated using facial expressions and head movements to predefined actions …

Artificial Intelligence Assisted Residual Strength And Life Prediction Of Fiber Reinforced Polymer Composites, Partha Pratim Das, Muthu Ram Prabhu Elenchezhian, Vamsee Vadlamudi, Rassel Raihan

Institute of Predictive Performance Methodologies (IPPM-UTARI)-Archive

With the increased use of composite materials, researchers have developed many approaches for structural and prognostic health monitoring. Broadband Dielectric Spectroscopy (BbDS)/Impedance Spectroscopy (IS) is a state-of-the-art technology that can be used to identify and monitor the minute changes in damage initiation, accumulation, interactions, and the degree of damage in a composite under static and dynamic loading. This work presents a novel artificial neural network (ANN) framework for fiber-reinforced polymer (FRP) composites under fatigue loading, which incorporates dielectric state variables to predict the life (durability) and residual strength (damage tolerance) from real-time acquired dielectric permittivity of the material. The findings …

Figure Data From "Electrochemical Identification Of Metal Chlorides In Eutectic Licl-Kcl Without Prior Knowledge Of Analyte Identities", Tyler Williams, Jason Torrie, Mark Schvaneveldt, Ranon Fuller, Greg Chipman, Devin Rappleye

ScholarsArchive Data

This is the data associated with figures found in a publication by the authors with the name of "Electrochemical Identification of Metal Chlorides in Eutectic LiCl-KCl Without Prior Knowledge of Analyte Identities".

Some of the data saved here is raw data collected by an Autolab potentiostat, while other data was derived from this raw data. Please reach out to the corresponding author for further questions.

Intro To Primary Sources, Katie Strand, Jen Kirk, Dan Davis, Lara Petersen

All E-Learning Resources

Attention: As of 2026 updated versions of this item will no longer be available on Digital Commons. Please contact [email protected] for more information.

The Identifying Primary Sources tutorial teaches students how they find, evaluate, and use primary sources in their own research. Along the way, they'll learn about some great places to start researching when looking for primary sources.

Survey Data: Optimising Retrofitted Insulation For Irish Residential Building Walls, Rakshit D. Muddu, Aimee Byrne, Anthony Robinson Dr.

Datasets

A survey was conducted to determine the preferred set point temperature and heating pattern among Irish households. The survey was sent to 237 people living across Ireland, out of which 32 respondents skipped the survey and 9 surveys were found to be incomplete. Amongst the counties in Ireland 71.1% respondents were from Dublin, 6.34% from Kildare, 5% from Meath, 5% from Wicklow and in all the remaining counties response rate was below 2%. Part 1: This section of the survey recorded information regarding characteristics of the building such as house type, wall type, insulation type, period the house was built. …

Dataset For Manuscript: Comparing Performance Of Spectral Image Analysis Approaches For Detection Of Cellular Signals In Time-Lapse Hyperspectral Imaging Fluorescence Excitation-Scanning Microscopy, Silas J. Leavesley

BioImaging and BioSystems Research

The dataset contains raw and processed hyperspectral timelapse image data that are described in the manuscript:

Parker, M., Annamdevula, N. S., Pleshinger, D., Ijaz, Z., Jalkh, J., Penn, R., Deshpande, D., Rich, T. C. & Leavesley, S. J. Comparing Performance of Spectral Image Analysis Approaches for Detection of Cellular Signals in Time-Lapse Hyperspectral Imaging Fluorescence Excitation-Scanning Microscopy. Bioengineering 10, 642 (2023).

Cuscn30: The Dynamic Dataset Of Curve Number From 2008 To 2021 Over Conterminous United States, Qiong Wu, John J. Ramirez Avila, Jinxi Song

BCoE Publications

Data description paper

Soil Moisture And Geomorphologic Data For Use In Dynamic And Forecastable Landslide Hazard Analyses In Eastern Kentucky, Daniel M. Francis, L. Sebastian Bryson

Civil Engineering Research Data

These data are the geomorphologic and land information system-based soil moisture estimates from assimilation of NASA SMAP satellite-based observations and NOAH 3.6 Land Surface Model estimates over known landslides in Eastern Kentucky. Additionally Long Short-Term Memory Recurrent Neural Network and logistic regression machine learning codes, as well as an Application programming interface code are included. Finally, in-situ data from Eastern Kentucky is included.

Spatiotemporal Retrievals Of Soil Moisture And Geomorphologic Data For Landslide Sites In Eastern Kentucky, Lindsey Sebastian Bryson, Daniel M. Francis

Civil Engineering Research Data

These data are the soil texture, land information system-based soil moisture estimates from assimilation of NASA SMAP satellite-based observations and NOAH 3.6 Land Surface Model estimates, artificial neural network machine learning code, and in-situ soil moisture measurements.

Developing A Web-Based System For Remote Collection And Analysis Of Vehicle Electrical Systems Over Canbus Using Carloop, Joshua N. Valle, Alex Columna-Fuentes

Capstone Showcase

Our program collects vehicle data using an OBD-II device called Carloop that is plugged into the vehicle's diagnostic port. The device executes our code which then communicates with the vehicle's onboard computer to collect data such as engine RPM, vehicle speed, fuel level, and other diagnostic information. This data is then sent over WiFi to Particle’s Cloud, which is a platform for managing IoT devices.

Integrations set up on Particle take care of sending data to our InfluxDB Database, which is hosted on our own cloud-based machine. InfluxDB is a high-performance time-series database that is optimized for storing and querying …

Hdd Dataset: Optimising Retrofitted Insulation For Irish Residential Building Walls, Rakshit D. Muddu, Aimee Byrne, Anthony James Robinson

Datasets

In this study, a thermal-economic analysis was conducted to determine the optimum insulation thickness of retrofitted insulation walls in different regions in Ireland. This was based on the Heating Degree Day method (HDD). This dataset contains optimum insulation thickness, payback period, cost savings and carbon emission for all 25 counties in the Republic of Ireland

Synthetic Heart Sound Dataset, Davoud Shariat Panah, Andrew Hines, Susan Mckeever

Datasets

The repository contains synthetic heart sound recordings. The publication related to this dataset is "Exploring the impact of noise and degradations on heart sound classification models", Biomedical Signal Processing and Control journal.

Effects Of Pressure Side Film Cooling Hole Placement And Condition On Surface Heat Transfer Characteristics Of A Transonic Turbine Blade Tip, Hallie Collopy, Phillip M. Ligrani, Hongzhou Xu, Michael Fox

PRC-Affiliated Research

The effects of film cooling hole placement location along the upper pressure side of a transonic squealer are considered. The thermal performance of four different film cooling configurations; B1, B2, B3 and B4, are considered using the University of Alabama in Huntsville's SS/TS/WT (supersonic/transonic/wind tunnel) experimental facility and a simulated turbine blade row using a linear cascade. Surface-varying results are provided for both the squealer blade tip surface, and for the upper pressure side of the squealer blade. These results are given for blowing ratios ranging from 0.42 to 3.20 in the form of spatially-resolved and spatially-averaged adiabatic film cooling …

Data From: Machine Learning Predictions Of Electricity Capacity, Marcus Harris, Elizabeth Kirby, Ameeta Agrawal, Rhitabrat Pokharel, Francis Puyleart, Martin Zwick

Complex Systems Faculty Datasets

This research applies machine learning methods to build predictive models of Net Load Imbalance for the Resource Sufficiency Flexible Ramping Requirement in the Western Energy Imbalance Market. Several methods are used in this research, including Reconstructability Analysis, developed in the systems community, and more well-known methods such as Bayesian Networks, Support Vector Regression, and Neural Networks. The aims of the research are to identify predictive variables and obtain a new stand-alone model that improves prediction accuracy and reduces the INC (ability to increase generation) and DEC (ability to decrease generation) Resource Sufficiency Requirements for Western Energy Imbalance Market participants. This …

Development Of Ultra-High Performance Engineered Geopolymer Composites (Uhp-Egcs), Hassan Noorvand, Miladin Radovic, Marwa Hassan, Svetlana Sukhishvili, Gabriel Arce, Ruwa Abufarsakh, Adriana A. Alvarado, Oscar Huang, Sang Zhen

Data

This study investigated the possibility of developing novel UHP-EGC materials for the repair and new construction of transportation infrastructure in Region 6 by utilizing locally available resources. To this end, the geopolymers (GPs) in this study were synthesized by activating metakaolin (MK) with potassium silicate and sodium silicate solutions. The solutions were manufactured in the laboratory by dissolving silica fume and potassium hydroxide (KOH) or sodium hydroxide (NaOH) in deionized water. MK-based GP binders, mortars, and fiber-reinforced composites were manufactured and evaluated to determine their density, compressive strength, tensile properties, and slant shear bond strength to Portland cement concrete (PCC). …

Microplastic Risk Characterization Of Plastic Road, Md Shams Razi Shopnil

Civil Engineering Dissertations - Archive

In recent past, the act of waste recycling has been diversified in manifolds across the world leading to evolution of newer recycling technique and fresh recycled product. Albeit plastic is one of those waste materials which is getting extremely difficult to get substantially recycled because of its record-breaking production, consumption, and its wide range of variations in properties ultimately leading to substandard recycling status of plastics globally. This seemingly poor status of waste plastics recycling against the gargantuan amount of fresh plastic products being added to consumer stream gives rise to a menacing one directional problem: Plastic Pollution, which is …

Precipitation Trends In North And South Carolina, Usa, Giacomo Moragila, Erika Brattich, Gregory J. Carbone

Faculty Publications

Study region

North and South Carolina, USA.

Study focus

Intense precipitation poses risks to life and property. Its frequency can change in response to global-scale drivers, but its spatial expression can vary seasonally and regionally, and be dependent on how it is measured and what analysis period is used. We investigate forty-four historical stations from the U.S. Historical Climatology Network (USHCN) across North and South Carolina to determine trends in the pluviometric regime defined by the Expert Team on Climate Change Detection and Indices (ETCCDI). New hydrological insights for the region Most of the stations in this area do not …

Low-Cost Sustainable Engineered Geopolymer Composites (Egcs) For Repair And New Construction Of Transportation Infrastructure, Hassan Noorvand, Marwa Hassan, Miladin Radovic, Svetlana Sukhishvili, Gabriel Arce, Ruwa Abufarsakh, Adriana A. Alvarado, Oscar Huang, Sang Zhen

Data

This study evaluated the use of cost-effective alternative materials in the formulation of novel low-cost Engineered Geopolymer Composite (EGC) materials for repair and new construction of transportation infrastructure in Region 6. Previous studies and reports have shown that EGCs have excellent mechanical properties, which makes them an eco-friendly and more sustainable alternative to Engineered Cementitious Composites (ECCs). However, the mass adoption of these emerging composites is expected to be hindered by their cost, which is mainly driven by the use of PVA reinforcing fibers, silica fume (SF), and manufactured microsilica sand (MS). To address this key shortcoming, novel low-cost EGC …

Study Into The Sensitity Of The G-H Method To Blending Distance, Cory Goates, Doug Hunsaker

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A numerical lifting-line method (implemented in an open-source software package) is presented which can accurately estimate the aerodynamics of wings with arbitrary sweep, dihedral, and twist. Previous numerical lifting-line methods have suffered from grid convergence challenges and limitations in accurately modeling the effects of sweep, or have relied on empirical relations for swept-wing parameters and have been limited in their application to typical wing geometries. This work presents novel improvements in accuracy, flexibility, and speed for complex geometries over previous methods. In the current work, thin-airfoil theory is used to correct section lift coefficients for sweep, providing a more general …