Engineering Commons^™

Ai-Enabled Vibration Sensing System For Early Detection Of Trains At Active Highway-Rail Grade Crossings, Mohsen Amjadian, Md. Masnun Rahman, Constantine Tarawneh, Valik Villarreal, Dylan Rocha

Civil Engineering Faculty Publications

Highway-rail grade crossings (HRGCs) play an essential role in ensuring the secure traversal of road users across railway tracks. However, despite their significance, they present safety challenges, particularly when trains go undetected, heightening the risk of potential collisions between the road user and train. This paper aims to explore the viability of employing vibration sensors for detection and characterization of an approaching train’s speed at HRGCs. The methodology involves analyzing rail vibrations and developing a time series predictive machine learning (ML) model. To accomplish this, a Finite Element (FE) model of a ballasted track railway is created in SAP2000, consisting …

Feature Extraction From Vibration Signature Required From Railroad Bearing Onboard Condition Monitoring Sensor Modules, Kevin Quaye, Ping Xu, Dimah Dera, Heinrich D. Foltz, Constantine Tarawneh, Alberto Diaz

Mechanical Engineering Faculty Publications

From 2013 to 2022, 1671 derailments have been reported by the Federal Railroad Administration (FRA), 8.2% of which were due to journal bearing defects. The University Transportation Center for Railway Safety (UTCRS) designed an onboard monitoring system that tracks vibration waveforms over time to assess bearing health through three analysis levels. However, the speed of the bearing, a fundamental parameter for these analyses, is often acquired from Global Positioning System (GPS) data, which is typically not available at the sensor location. To solve this issue, this paper proposes to employ Machine Learning (ML) algorithms to extract the speed and other …

Ai-Based Hazard Detection For Railway Crossings, Darren Espinoza, Gasser G. Ali, Constantine Tarawneh

Mechanical Engineering Faculty Publications

Grade crossings are critical elements of the railway infrastructure due to the potential risk of vehicle collisions with trains. According to the National Highway Traffic Safety Administration, there were more than 1,600 vehicle-train, and 500 human-train collisions in 2020. Researchers, transportation organizations, and government bodies are constantly exploring practices and technologies to improve safety at crossings. Examples of safety standards include sensors, motion detectors, depth cameras, and many other innovative technologies. The goal of this paper is to investigate the applications of computer vision using Artificial Intelligence (AI) deep learning models to enhance railway safety. Deep learning models can provide …

Pixel-Mps: Stochastic Embedding And Density-Based Clustering Of Image Patterns For Pixel-Based Multiple-Point Geostatistical Simulation, Adel Asadi, Snehamoy Chatterjee

Michigan Tech Publications

Multiple-point geostatistics (MPS) is an established tool for the uncertainty quantification of Earth systems modeling, particularly when dealing with the complexity and heterogeneity of geological data. This study presents a novel pixel-based MPS method for modeling spatial data using advanced machine-learning algorithms. Pixel-based multiple-point simulation implies the sequential modeling of individual points on the simulation grid, one at a time, by borrowing spatial information from the training image and honoring the conditioning data points. The developed methodology is based on the mapping of the training image patterns database using the t-Distributed Stochastic Neighbor Embedding (t-SNE) algorithm for dimensionality reduction, and …

A Comprehensive Study On The Impact Of Human Hair Fiber And Millet Husk Ash On Concrete Properties: Response Surface Modeling And Optimization, Naraindas Bheel, Muhammad Alamgeer Shams, Samiullah Sohu, Abdul Salam Buller, Taoufik Najeh, Fouad Ismail Ismail, Omrane Benjeddou

Department of Civil and Environmental Engineering: Faculty Publications

Revolutionizing construction, the concrete blend seamlessly integrates human hair (HH) fibers and millet husk ash (MHA) as a sustainable alternative. By repurposing human hair for enhanced tensile strength and utilizing millet husk ash to replace sand, these materials not only reduce waste but also create a durable, eco-friendly solution. This groundbreaking methodology not only adheres to established structural criteria but also advances the concepts of the circular economy, representing a significant advancement towards environmentally sustainable and resilient building practices. The main purpose of the research is to investigate the fresh and mechanical characteristics of concrete blended with 10–40% MHA as …

Chemical Herding As A Multiplicative Factor For Top-Down Manipulation Of Colloids, Mark N. Mcdonald, Douglas R. Tree, Cameron K. Peterson

Faculty Publications

Colloidal particles can create reconfigurable nanomaterials, with applications such as color-changing, self-repairing, and self-regulating materials and reconfigurable drug delivery systems. However, top-down methods for manipulating colloids are limited in the scale they can control. We consider here a new method for using chemical reactions to multiply the effects of existing top-down colloidal manipulation methods to arrange large numbers of colloids with single-particle precision, which we refer to as chemical herding. Using simulation-based methods, we show that if a set of chemically active colloids (herders) can be steered using external forces (i.e., electrophoretic, dielectrophoretic, magnetic, or optical forces), then a larger …

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

Faculty Publications

The identities of unknown analytes within four eutectic LiCl-KCl melts were determined using electrochemical methods, simulating the uncertainty of electrochemically probing an electrorefiner salt bath or molten salt nuclear reactor. With a variety of electrochemical methods (e.g. cyclic voltammetry, chronopotentiometry, and square-wave voltammetry), and electroanalytical techniques (e.g. semi-differentiation), every analyte was positively identified, although one false positive occurred because of an unexpected chemical interaction. This study highlights some remaining challenges for the use of electrochemical sensors in nuclear material control and accountability in molten salts: (1) quantification of analytes without the use of calibration curves (e.g. error in property values, …

Finding The Shortest Path Using Dijkstra’S Algorithm, Orit D. Gruber, Deborah Sturm

Open Educational Resources

This lab experiment explores an algorithm which is used to find the shortest path between two or more locations. After completing the lab, you will be able to answer the following questions in the final lab report:

1. What is an Algorithm?
2. What is a Graph ?
3. What is the purpose and operation of Dijkstra’s Algorithm ?

Comparing Life-Cycle Dynamics Of Li-Ion Batteries (Libs) Clustered By Operating Conditions With Sindy, Kristen L. Hallas, Md Shahriar Forhad, Tamer Oraby, Benjamin Peters, Jianzhi Li

Manufacturing & Industrial Engineering Faculty Publications

Lithium-ion batteries (LIBs) play a big part in the vision of a net-zero emission economy, yet it is commonly reported that only a small percentage of LIBs are recycled worldwide. An outstanding barrier to making recycling LIBs economical throughout the supply chain pertains to the uncertainty surrounding their remaining useful life (RUL). How do operating conditions impact initial useful life of the battery? We applied sparse identification of nonlinear dynamics method (SINDy) to understand the life-cycle dynamics of LIBs with respect to sensor data observed for current, voltage, internal resistance and temperature. A dataset of 124 commercial lithium iron phosphate/graphite …

Uhd: Unary Processing For Lightweight And Dynamic Hyperdimensional Computing, Mehran Shoushtari Moghadam, M. Hassan Najafi

Faculty Scholarship

Hyperdimensional computing (HDC) is a novel computational paradigm that operates on long-dimensional vectors known as hypervectors. The hypervectors are constructed as long bit-streams and form the basic building blocks of HDC systems. In HDC, hypervectors are generated from scalar values without considering bit significance. HDC is efficient and robust for various data processing applications, especially computer vision tasks. To construct HDC models for vision applications, the current state-of-the-art practice utilizes two parameters for data encoding: pixel intensity and pixel position. However, the intensity and position information embedded in high-dimensional vectors are generally not generated dynamically in the HDC models. Consequently, …

Electrical Conductivity Of Subsurface Ocean Analogue Solutions From Molecular Dynamics Simulations, Catherine A. Psarakis, Timothy Tizhe Fidelis, Keith B. Chin, Baptiste Journaux, Abby Kavner, Pranb Sarker, Marshall J. Stycinski, Steven D. Vance, Tao Wei

Faculty Publications

Investigating the habitability of ocean worlds is a priority of current and future NASA missions. The Europa Clipper mission will conduct approximately 50 flybys of Jupiter’s moon Europa, returning a detailed portrait of its interior from the synthesis of data from its instrument suite. The magnetometer on board has the capability of decoupling Europa’s induced magnetic field to high precision, and when these data are inverted, the electrical conductivity profile from the electrically conducting subsurface salty ocean may be constrained. To optimize the interpretation of magnetic induction data near ocean worlds and constrain salinity from electrical conductivity, accurate laboratory electrical …

Quantifying Variation Across 16s Rrna Gene Sequencing Runs In Human Microbiome Studies, Andrew J. Hoisington, Christopher E. Stamper, Joseph C. Ellis, Christopher A. Lowry, Lisa A. Brenner

Faculty Publications

Recent microbiome research has incorporated a higher number of samples through more participants in a study, longitudinal studies, and metanalysis between studies. Physical limitations in a sequencing machine can result in samples spread across sequencing runs. Here we present the results of sequencing nearly 1000 16S rRNA gene sequences in fecal (stabilized and swab) and oral (swab) samples from multiple human microbiome studies and positive controls that were conducted with identical standard operating procedures. Sequencing was performed in the same center across 18 different runs. The simplified mock community showed limitations in accuracy, while precision (e.g., technical variation) was robust …

A Novel Method May Reveal Bulk Metallic Glass Compressive Ductility Trends In High Data Rate Nanoindentation, Jordan J. Sickle, Wesley H. Higgins, Wendelin Wright, George M. Pharr, Karin A. Dahmen

Faculty Journal Articles

Recent methods allow novel amorphous alloy compositions to be rapidly manufactured at small scale; however, obtaining materials properties such as compressive ductility from these smaller specimens has remained a challenge. Here, we suggest a potential high-throughput nanoindentation method that may be able to rapidly characterize the relative compressive ductility between these alloys based on their serration characteristics. The properties of emergent serrations, when interpreted in a simple micromechanical stress relaxation model, may order these materials by their compressive plastic strain to failure. These results are consistent with the ordering obtained from compressed specimens as well as with model simulations, suggesting …

Mechanical And Electrical Characterization Of Conductive Polymer-Derived Ceramic Composite, Jace R. Henry

ENGS 88 Honors Thesis (AB Students)

Polymer-derived ceramics (PDCs) have found a wide range of uses typically being in high temperature or corrosive environments. Some of the current applications are in aerospace, energy storage and microelectromechanical devices. One growing interest is in additively manufacturing PDCs, as they can be printed in the polymer state, then heat treated to form a ceramic. This allows for complex, or small geometries, to be manufactured and aids in decreasing the complexity of the manufacturing process compared to traditional sintering techniques. However, one limitation of PDCs is the large shrinkage of the material and or the increased porosity due to volatile …

Sustainable Sensing With Paper Microfluidics: Applications In Health, Environment, And Food Safety, Sanjay Kumar, Jyoti B. Kaushal, Heow Pueh Lee

Durham School of Architectural Engineering and Construction: Faculty Publications

This manuscript offers a concise overview of paper microfluidics, emphasizing its sustainable sensing applications in healthcare, environmental monitoring, and food safety. Researchers have developed innovative sensing platforms for detecting pathogens, pollutants, and contaminants by leveraging the paper’s unique properties, such as biodegradability and affordability. These portable, low-cost sensors facilitate rapid diagnostics and on-site analysis, making them invaluable tools for resource-limited settings. This review discusses the fabrication techniques, principles, and applications of paper microfluidics, showcasing its potential to address pressing challenges and enhance human health and environmental sustainability.

Implications Of The Covid-19 Pandemic On The Management Of Municipal Solid Waste And Medical Waste: A Comparative Review Of Selected Countries, Ahmed Osama Daoud Dr., Hoda Elattar Eng., Gaber Abdelatif Eng., Karim M. Morsy, Robert W. Peters, Mohamed K. Mostafa Dr.

Civil Engineering

No abstract provided.

Utilizing Waste Rocks From Phosphate Mining In Jordan As Concrete Aggregates, Tamer Eljufout, Fadi Alhomaidat

Open Initiatives Grant Funded Publications-Archive

This study investigates the potential of replacing natural aggregates in concrete with aggregates obtained from Phosphate Mine Waste (PMW) rocks in Jordan. Several tests were conducted to determine the PMW rocks’ chemical, physical, and mechanical properties according to ASTM standards. A comprehensive experimental investigation was conducted, involving thirty-six concrete cylinder specimens, to evaluate the strength and durability properties of concrete made with PMW rocks compared to concrete made with natural limestone aggregates. The tested aggregates of PMW rocks consist mainly of quartz, dolomite, montmorillonite, and flu- orapatite. Their physical and mechanical properties were found to be similar to the natural …

Autonomous Image-Based Corrosion Detection In Steel Structures Using Deep Learning, Amrita Das, Sattar Dorafshan, Naima Kaabouch

Civil Engineering Faculty Publications

Steel structures are susceptible to corrosion due to their exposure to the environment. Currently used non-destructive techniques require inspector involvement. Inaccessibility of the defective part may lead to unnoticed corrosion, allowing the corrosion to propagate and cause catastrophic structural failure over time. Autonomous corrosion detection is essential for mitigating these problems. This study investigated the effect of the type of encoder–decoder neural network and the training strategy that works the best to automate the segmentation of corroded pixels in visual images. Models using pre-trained DesnseNet121 and EfficientNetB7 backbones yielded 96.78% and 98.5% average pixel-level accuracy, respectively. Deeper EffiecientNetB7 performed the …

Effects Of An Indole Derivative On Cell Proliferation, Transfection, And Alternative Splicing In Production Of Lentiviral Vectors By Transient Co-Transfection, Nataly Carolina Mier, Donald Keith Roper

Biological Engineering Faculty Publications

Lentiviral vectors derived from human immunodeficiency virus type I are widely used to deliver functional gene copies to mammalian cells for research and gene therapies. Post-transcriptional splicing of lentiviral vector transgene in transduced host and transfected producer cells presents barriers to widespread application of lentiviral vector-based therapies. The present study examined effects of indole derivative compound IDC16 on splicing of lentiviral vector transcripts in producer cells and corresponding yield of infectious lentiviral vectors. Indole IDC16 was shown previously to modify alternative splicing in human immunodeficiency virus type I. Human embryonic kidney 293T cells were transiently transfected by 3^rd generation …

Effects Of Periodic Sequential Arrangement Of Subscale Miura-Foldcore Under Quasi-Static Compression, Chase Mortensen, Devin Nielsen, S. Z.H. Shah, Juhyeong Lee

Mechanical and Aerospace Engineering Faculty Publications

This study presents experimental and numerical investigations on the quasi-static compressive responses of various subscale Miura-foldcore composites. A series of quasi-static compression tests were conducted on standard Miura foldcore specimens fabricated using carbon/epoxy woven fabric prepregs. Representative volume element (RVE) models, incorporating periodic boundary conditions (PBCs), were developed to predict the size-dependent compressive response of subscale Miura foldcores. The effective properties of the carbon/epoxy woven fabric composite used in this study were calculated using the NASA multiscale analysis tool (NASMAT) via two-step homogenization process. The FE model exhibited comparable agreement with experimental results, showcasing variations of less than 7% and …

Molecular Behavior Of Silicone Adhesive At Buried Polymer Interface Studied By Molecular Dynamics Simulation And Sum Frequency Generation Vibrational Spectroscopy, Yuchen Wu, Ting Lin, Elizabeth Santos, Dongchan Ahn, Ryan Marson, Pranab Sarker, Xiaoyun Chen, Frédéric Gubbels, Nick E. Shephard, Carol Mohler, Tao Wei, Tzu-Chi Kuoc, Zhan Chen

Faculty Publications

Silicones have excellent material properties and are used extensively in many applications, ranging from adhesives and lubricants to electrical insulation. To ensure strong adhesion of silicone adhesives to a wide variety of substrates, silane-based adhesion promotors are typically blended into the silicone adhesive formulation. However, little is known at the molecular level about the true silane adhesion promotion mechanism, which limits the ability to develop even more effective adhesion promoters. To understand the adhesion promotion mechanism of silane molecules at the molecular level, this study has used sum frequency generation vibrational spectroscopy (SFG) to determine the behavior of (3-glycidoxypropyl)trimethoxy silane …

Highly Comparative Time Series Analysis Of Oxygen Saturation And Heart Rate To Predict Respiratory Outcomes In Extremely Preterm Infants, Jiaxing Qui, Juliann M. Di Fiore, Narayanan Krishnamurthi, Premananda Indic, Additional Authors, Prematurity-Related Ventilatory Control (Pre-Vent) Investigators

Electrical Engineering Faculty Publications and Presentations

Objective. Highly comparative time series analysis (HCTSA) is a novel approach involving massive feature extraction using publicly available code from many disciplines. The Prematurity-Related Ventilatory Control (Pre-Vent) observational multicenter prospective study collected bedside monitor data from > 700 extremely preterm infants to identify physiologic features that predict respiratory outcomes. Approach. We calculated a subset of 33 HCTSA features on > 7 M 10 min windows of oxygen saturation (SPO2) and heart rate (HR) from the Pre-Vent cohort to quantify predictive performance. This subset included representatives previously identified using unsupervised clustering on > 3500 HCTSA algorithms. We hypothesized that the best HCTSA algorithms would …

A Study On The Effects Of Cementless Total Knee Arthroplasty Implants’ Surface Morphology Via Finite Element Analysis, Scott Hazelwood, Peter J. Hunt, Mohammad Noori, Naudereh B. Noori, Wael A. Altabey

Biomedical Engineering

Total knee arthroplasty (TKA) is one of the most commonly performed orthopedic surgeries, with nearly one million performed in 2020 in the United States alone. Changing patient demographics, predominately indicated by increases in younger, more active, and more obese patients undergoing TKA, poses a challenge to orthopedic surgeons as these factors present a greater risk of long-term complications. Historically, cemented TKA has been the gold standard for fixation, but long-term aseptic loosening continues to be a risk for cemented implants. Cementless TKA, which relies on the surface morphology of a porous coating for biologic fixation of implant to bone, may …

Single-Molecule Orientation Imaging Reveals The Nano-Architecture Of Amyloid Fibrils Undergoing Growth And Decay, Brian Sun, Tianben Ding, Weiyan Zhou, Tara S. Porter, Matthew D. Lew

Electrical & Systems Engineering Publications and Presentations

Amyloid-beta (Aβ42) aggregates are characteristic Alzheimer’s disease signatures, but probing how their nanoscale architectures influence their growth and decay remains challenging using current technologies. Here, we apply time-lapse single-molecule orientation-localization microscopy (SMOLM) to measure the orientations and rotational “wobble” of Nile blue (NB) molecules transiently binding to Aβ42 fibrils. We correlate fibril architectures measured by SMOLM with their growth and decay over the course of 5 to 20 min visualized by single-molecule localization microscopy (SMLM). We discover that stable Aβ42 fibrils tend to be well-ordered and signified by well-aligned NB orientations and small wobble. SMOLM also shows that increasing order …

Evaluating Visual Dependence In Postural Stability Using Smartphone And Stroboscopic Glasses, Brent A. Harper, Michael Shiraishi, Rahul Soangra

Physical Therapy Faculty Articles and Research

This study explores the efficacy of integrating stroboscopic glasses with smartphone-based applications to evaluate postural control, offering a cost-effective alternative to traditional forceplate technology. Athletes, particularly those with visual and visuo-oculomotor enhancements due to sports, often suffer from injuries that necessitate reliance on visual inputs for balance—conditions that can be simulated and studied using visual perturbation methods such as stroboscopic glasses. These glasses intermittently occlude vision, mimicking visual impairments that are crucial in assessing dependency on visual information for postural stability. Participants performed these tasks under three visual conditions: full vision, partial vision occlusion via stroboscopic glasses, and no vision …

Predicting Flexural-Creep Stiffness In Bending Beam Rheometer (Bbr) Experiments Using Advanced Super Learner Machine Learning Techniques, Alireza Roshan, Magdy Abdelrahman

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

BBR test is commonly used to assess the low-temperature performance grade (PG) of asphalt binders, with the flexural-creep stiffness being a critical parameter calculated through this test. However, it has notable limitations that demand attention. The significant amount of asphalt binder needed for test specimens increases costs and resource consumption. Additionally, the complex and time-consuming specimen preparation process hinders testing efficiency and introduces result variability, affecting the accuracy and reliability of PG determinations. In recent years, machine learning (ML) has emerged as a promising substitute for predicting various engineering values. In this study, the primary focus was on harnessing super …

Using Dft On Ultrasound Measurements To Determine Patient-Specific Blood Flow Boundary Conditions For Computational Hemodynamics Of Intracranial Aneurysms, Hang Yi, Zifeng Yang, Luke Bramlage, Bryan Ludwig

Mechanical and Materials Engineering Faculty Publications

Boundary conditions (BCs) is one pivotal factor influencing the accuracy of hemodynamic predictions on intracranial aneurysms (IAs) using computational fluid dynamics (CFD) modeling. Unfortunately, a standard procedure to secure accurate BCs for hemodynamic modeling does not exist. To bridge such a knowledge gap, two representative patient-specific IA models (Case-I and Case-II) were reconstructed and their blood flow velocity waveforms in the internal carotid artery (ICA) were measured by ultrasonic techniques and modeled by discrete Fourier transform (DFT). Then, numerical investigations were conducted to explore the appropriate number of samples (N) for DFT modeling to secure the accurate BC by comparing …

Creation And Fill Of An Eocene Incision On A Leeward Margin Of An Isolated Carbonate Platform, Northeast Sirte Basin, Libya, Muneer Abdalla, Wan Yang, Abdlsaid Ibrahem, Salah Hassan, Alzobeere Bogzil

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

The recognition of incised valleys and the reconstruction of their filling history are significant for defining unconformity surfaces and their stratigraphic framework, particularly when detailed petrographic data are missing. However, little of such research is published so far on the characterization and factors influencing the development of incised valleys using three-dimensional seismic and well data. Thus, this work aims to examine and analyze the geometry and factors controlling the formation and sediments filling of an eocene incised valley in a sequence stratigraphic frame using an integration of three-dimensional seismic and well data from ne sirte basin, libya. The eocene incised …

Best Practices For Maintenance Of Traffic On Interstate Pavement Rehabilitation Projects, Catherine Keathley, Ryan Griffith, Rachel Catchings

Kentucky Transportation Center Research Report

Across the United States, aging roadway infrastructure has led state departments of transportation (DOTs) to increase their focus on pavement rehabilitation projects. These projects upgrade existing infrastructure to meet the needs of current levels of vehicle use. On interstate rehabilitation projects, maintenance of traffic (MOT) is an especially important consideration. Having a good MOT plan for completing construction work is critical for maintaining facility capacity while ensuring the safety of the traveling public and roadway construction staff. This study explores on behalf of the Kentucky Transportation Cabinet (KYTC) best practices for MOT on interstate pavement rehabilitation projects. Based on a …

Accommodating Innovative Uses Of Public Right Of Way, Travis Thompson, David Moses, Candice Wallace, Pam Clay-Young, Arlen Sandlin

Kentucky Transportation Center Research Report

State departments of transportation (DOTs) are embracing the use of clean energy and connectivity (CEC) applications along publicly owned right of way (ROW). Applications such as wind and solar power installations, broadband lines, small cell wireless equipment, electric vehicle charging stations, and technologies related to connected and automated vehicles (CAVs) hold considerable promise for conferring environmental benefits, energy savings, and generating much-needed revenue for DOTs. This report explores innovative uses of state-owned ROW that the Kentucky Transportation Cabinet (KYTC) could implement. Although Kentucky may not be currently situated for all clean energy applications, opportunities in solar do currently exist and …