Engineering Commons^™

Processworkflows Cwmf To Iso 19650-2, Emma Hayes, Robert Moore

Tools

Process workflow that presents the Capital Works Management Framework (CWMF) according to ISO 19650-2, Government of Ireland.

doi:10.21427/nhzb-pp57

Utilizing Hybrid Machine Learning Techniques And Gridded Precipitation Data For Advanced Discharge Simulation In Under-Monitored River Basins, Reza Morovati, Ozgur Kisi

Civil and Environmental Engineering Faculty Publications

This study addresses the challenge of utilizing incomplete long-term discharge data when using gridded precipitation datasets and data-driven modeling in Iran's Karkheh basin. The Multilayer Perceptron Neural Network (MLPNN), a rainfall-runoff (R-R) model, was applied, leveraging precipitation data from the Asian Precipitation—Highly Resolved Observational Data Integration Toward Evaluation (APHRODITE), Global Precipitation Climatology Center (GPCC), and Climatic Research Unit (CRU). The MLPNN was trained using the Levenberg–Marquardt algorithm and optimized with the Non-dominated Sorting Genetic Algorithm-II (NSGA-II). Input data were pre-processed through principal component analysis (PCA) and singular value decomposition (SVD). This study explored two scenarios: Scenario 1 (S1) used in …

Stiffness And Strength-Based Concurrent Shape And Fiber Path Optimization Of Continuous Fiber Composites, Zhelong He, Ali Tamijani

Publications

A computer-implemented method of optimizing a computer model including a shape and a fiber path for a continuous fiber composite can include initializing a fixed finite element mesh. The method can also include creating an updated version of the shape and the fiber path by iterating updates of the shape and the fiber path using the fixed finite element mesh. The method can also include initializing an adapted finite element mesh on the updated version of the shape and the fiber path. The method can also include creating an optimized version of the shape and the fiber path by iterating …

Well Log Analysis And Interpretation For Mishrif Formation For Amarah Oil Field, Attia Attia, Ayat Ahmed Jasim, Aqeel Al-Adili, Luma Mahmoud, Mohamed Mansour Eng.

Petroleum Engineering and Gas

This study is intended to interpret of well logs for the purpose of determining petrophysical parameters for Mishrif formation in the Amarah Oil Field. This fi eld is situated in the province of Mysan ten kilometers to the southwest of Amarah and ten kilometers to the northwest of Halafaya’s fi eld, and is located southeast of the fi eld of Kamit and about 30 km. M–N cross plot as well as the Matrix Identifi cation (MID) have been applied to calculate mineralogy and lithology of the formation using well logs, cross plots, and reservoir quality index (RQI) along with fl …

Uncertainty Analysis In Machine Learning Models, Ayorinde E. Olatunde, Weiqi Yue, Pawan K. Tripathi, Roger H. French, Anirban Mondal

Faculty Scholarship

No abstract provided.

Reliability Of Using Secondary And Tertiary Treated Wastewater In Concrete Mixing And Curing, Amany G. Micheal Prof., Haidy Abd El Salam

Architectural Engineering

Water scarcity is a problem that faces many regions. In a developing and arid countries, the need for fresh water is exponentially increasing. One of the most water consuming industries is the construction industry, especially in concrete manufacturing. This research is an evaluation of the Reliability of recycled wastewater to be used in concrete manufacturing. Two different wastewater treatment regimens are implemented: secondary and tertiary treated wastewater. The treated wastewater, either secondary or tertiary, replaces potable water with percentages of 25%, 50%, and 100%. The mixture of the two types of water is used in concrete mixing and curing. Control …

Synthesis And Characterization Of Titanium Nitride–Carbon Composites And Their Use In Lithium-Ion Batteries, Helia M. Morales Ramirez, Horacio Vieyra, David A. Sanchez, Elizabeth M. Fletes, Michael Odlyzko, Timothy P. Lodge, Victoria Padilla-Gainza, Mataz Alcoutlabi, Jason Parsons

Mechanical Engineering Faculty Publications

This work focuses on the synthesis of titanium nitride–carbon (TiN–carbon) composites by the thermal decomposition of a titanyl phthalocyanine (TiN(TD)) precursor into TiN. The synthesis of TiN was also performed using the sol-gel method (TiN(SG)) of an alkoxide/urea. The structure and morphology of the TiN–carbon and its precursors were characterized by XRD, FTIR, SEM, TEM, EDS, and XPS. The FTIR results confirmed the presence of the titanium phthalocyanine (TiOPC) complex, while the XRD data corroborated the decomposition of TiOPC into TiN. The resultant TiN exhibited a cubic structure with the FM3-M lattice, aligning with the crystal system of the synthesized …

Implementation Of A Realistic Artificial Data Generator For Crash Data Generation, Lauren Hoover, Md. Istiak Jahan, Tanmoy Bhowmik, Sudipta Dey Tirtha, Karthik C. Konduri, John Ivan, Kai Wang, Shanshan Zhao, Joshua Auld, Naveen Eluru

Civil and Environmental Engineering Faculty Publications and Presentations

In this paper, a framework is outlined to generate realistic artificial data (RAD) as a tool for comparing different models developed for safety analysis. The primary focus of transportation safety analysis is on identifying and quantifying the influence of factors contributing to traffic crash occurrence and its consequences. The current framework of comparing model structures using only observed data has limitations. With observed data, it is not possible to know how well the models mimic the true relationship between the dependent and independent variables. Further, real datasets do not allow researchers to evaluate the model performance for different levels of …

Nowcasting Solar Euv Irradiance With Photospheric Magnetic Fields And The Mg Ii Index, Kara L. Kniezewski, Samuel J. Schonfeld, Carl J. Henney

Student Publications

A new method to nowcast spectral irradiance in extreme ultraviolet (EUV) and far ultraviolet (FUV) bands is presented here, utilizing only solar photospheric magnetograms and the Mg II index (i.e., the core-to-wing ratio). The EUV and FUV modeling outlined here is a direct extension of the SIFT (Solar Indices Forecasting Tool) model, based on Henney et al. (2015, https://doi.org/10.1002/2014sw001118). SIFT estimates solar activity indices using the earth-side solar photospheric magnetic field sums from global magnetic maps generated by the ADAPT (Air Force Data Assimilative Photospheric Flux Transport) model. Utilizing strong and weak magnetic field sums from ADAPT maps, Henney …

A Guide To Fifty Years Of Research At Montana Tech: Part 3-Decontamination Of Ratioactively Contaminated Steel By Melt Refining/Slagging Processing, Larry G. Twidwell, Samuel A. Worcester

Metallurgy

This presentation includes a discussion of the research conducted at Montana Tech in the Department of Metallurgical and Materials Engineering. The discussion is focused on Decontamination of Radioactively Contaminated Steel by Melt Refining/Slagging. This presentation is based on the research of Master of Science graduate students, industrial and academic colleagues, at the Montana College of Mineral Science and Technology (which morphed to Montana Tech [1977], then to Montana Tech of The University of Montana [2000], then to Montana Technological University [2019]). The referenced work of each of the graduate students in this presentation is gratefully acknowledged. The following summary presentation …

First-Year Engineering Students And Genai: Experience, Attitudes, Trust, And Ethics., Elisabeth Thomas, Cenetria Crockett, Campbell Rightmyer Bego

Undergraduate Research Events

Generative AI (GenAI) has the potential to benefit student learning by offering personalized feedback, idea generation, research, and analysis support, writing aid, and administrative support (Chan and Hu, 2023; Zhang, 2023). However, if used inappropriately, the same tools can lead to false/biased content creation and reduced ethical awareness leading to possible academic dishonesty and privacy issues (Schwartz, 2016; Wu, 2023). At this early stage, ethical standards and professorial guidance are unavailable, so it is important to understand what students are thinking about the recent technologies (Shen et al., 2013). Spring 2023 survey results revealed that some students used ChatGPT, a …

Comprehensive Understanding Of Factors Impacting Competitive Construction Bidding, Muaz O. Ahmed, Islam H. El-Adaway, Aubrie Caldwell

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Construction competitive bidding has been studied by many researchers; however, their focus was mainly on certain bidding aspects. Thus, despite their value, existing bidding models have limited applicability for various reasons including the non-inclusion of some real-life factors that impact bidding-related decisions. As such, there is a need for identifying a comprehensive list of bidding factors that impact construction bidding-related decisions, studying their associations, and identifying understudied factors to direct future research efforts. This paper fills this knowledge gap. First, the authors conducted a systematic selection of 124 construction bidding-related articles published within the past 40 years. Second, the authors …

Effects Of Rest Time And Curing Regime On Short- And Long-Term Strength Of Class C Fly Ash-Based Alkali-Activated Mortars, Cedric Kashosi, Ahmed Gheni, Eslam Gomaa, Mohamed Elgawady

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

This study investigated how different rest times affect the strength development of fly-ash-based alkali-activated mortar (aam) over a period of 90 days. Two types of fly ash with varying calcium oxide contents of 37 and 21% were used. The rest times ranged from 2 to 36 h, and three curing methods (ambient, oven, and steam) were tested. The results showed that the rest time significantly influenced the compressive strength of the aam. The optimal rest time was found to be between 12 and 30 h depending on the curing method and fly ash type. Beyond this range, there were only …

Engineering Transcriptional Regulation For Cell-Based Therapies., Matthias Recktenwald, Evan Hutt, Leah Davis, James Macaulay, Nichole M. Daringer, Peter Galie, Mary Staehle, Sebastian Vega

Rowan-Virtua School of Translational Biomedical Engineering & Sciences Departmental Research

A major aim in the field of synthetic biology is developing tools capable of responding to user-defined inputs by activating therapeutically relevant cellular functions. Gene transcription and regulation in response to external stimuli are some of the most powerful and versatile of these cellular functions being explored. Motivated by the success of chimeric antigen receptor (CAR) T-cell therapies, transmembrane receptor-based platforms have been embraced for their ability to sense extracellular ligands and to subsequently activate intracellular signal transduction. The integration of transmembrane receptors with transcriptional activation platforms has not yet achieved its full potential. Transient expression of plasmid DNA is …

Wrack Lines Volume 24, Number 1, Spring/Summer 2024, Gract Cajski, Paul Choiniere, Maggie Cozens, Owen Placido, Judy Benson

Wrack Lines

"Natural Effects: Tales of Our Dynamic Environment" is the theme of this issue, with articles about a research project using GoPro cameras on oyster cages; the exploding population of black sea bass in Long Island Sound; three research projects in Connecticut salt marshes; a children's book illustrator and author and her book about kelp farming; and a living shoreline project in Old Saybrook, CT.

Engr 691: Trustworthy Machine Learning, University Of Mississippi. School Of Engineering

GMAS Course Syllabi

No abstract provided.

Editorial For Special Issue “Design, Modeling, Optimization And Control Of Flotation Process”, Fardis Nakhaei, Ahmad Hassanzadeh, Luis A. Cisternas

Mining Engineering Faculty Research & Creative Works

No abstract provided.

Utilizing Ensemble Learning In The Classifications Of Ductile And Brittle Failure Modes Of Uhpc Strengthened Rc Members, Woubishet Zewdu Taffese, Yanping Zhu, Genda Chen

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

This study aims to achieve the swift and precise classification of ductile and brittle failure modes in flexural reinforced concrete (RC) members, specifically those with tension sides strengthened by ultrahigh performance concrete (UHPC). Employing six ensemble learning techniques—Bagging, Random Forest, AdaBoost, Gradient Boosting, XGBoost, and LightGBM—the authors utilize a comprehensive dataset comprising 14 features, which include manually labeled failure modes obtain from load–deflection curves. The model training spans four scenarios, varying in the inclusion or exclusion of features describing the cross-sectional area of RC members and moment resistance. XGBoost emerges as the most effective classifier, achieving an impressive 84% accuracy …

A Connected-Component Improvement Procedure For Relative Isolation Probability Calculation, Renzo Roel P. Tan, Kazushi Ikeda

Quantitative Methods and Information Technology Faculty Publications

Due to the prevalence of natural disasters, the resilience of networks that provide essential services to the population has been studied. A recent contribution is the probability of relative isolation, which measures the likelihood of a demand node to be unreachable by supply nodes. The existing procedure for calculation is an enumerative decision-diagram-based approach that may be resource-intensive especially on occasions when time and memory constraints are imposed. In response, the study reverse-engineers the current method towards increased efficiency. The proposed solution hinges on the breadth-first search, producing connected components based on the sources. The algorithm is then benchmarked on …

Rethinking Wind In Kentucky, Lawrence E. Holloway, Aron Patrick, Dan M. Ionel

Power and Energy Institute of Kentucky Faculty Publications

Recent analyses and developments suggest that wind energy could play a role in Kentucky's future power generation mix. This recent change in outlook for Kentucky wind has been driven by three factors: (1) improved wind turbine technologies, (2) improved economics, and (3) recent analyses showing improved grid reliability due to wind's complementarity to solar power generation.

10 Meters To Disaster: The Challenges Of Premature Application Of Circular Economy Strategies In Jakarta’S Waste Management Structure, Almira Bowo

Independent Study Project (ISP) Collection

Jakarta's complex issue of waste management encompasses a multitude of challenges that include inefficiencies in infrastructure, a lack of public awareness of the consequences of an inadequate waste system, socioeconomic disparities, and a deficiency in intersectoral collaboration. The urgency for holistic and sustainable solutions that prioritize proactive waste collection is underscored by the complexities of these dynamics. This field study paper argues that the attention that is being drawn towards trending waste management innovations, which are reactive strategies, could bring the waste crisis in Jakarta to an even more critical state. The sections will critically examine current waste management efforts …

Microwave Holography For Emi Source Imaging, Xin Yan, Jiangshuai Li, Wei Zhang, Kaustav Ghosh, Philippe Sochoux, Daryl G. Beetner, Victor Khilkevich

Electrical and Computer Engineering Faculty Research & Creative Works

Emission Source Microscopy Technique Can Be Utilized to Localize the Radiation Sources in Complex and Electrically Large Electronic Systems. in the Two-Dimensional Emission Source Microscopy Algorithm, Both Magnitude and Phase of the Field Need to Be Measured, and a Vector Network Analyzer or an Oscilloscope Has to Be Used as a Receiver, Resulting in Reduced Signal-To-Noise Ratio and Longer Measurement Time Compared to a Spectrum Analyzer (SA). in This Article, a Phase less Electromagnetic Interference Source Imaging Method is Proposed based on Microwave Holography. the Field Produced by the Device under Test is Not Measured Directly, Instead, the Interference Pattern …

Guidebook For Project Management, Jill Asher, Keith Caudill, Travis Thompson, Jeff Jasper, Chris Van Dyke, Samantha Wright, Bryan Gibson, Pam Clay-Young, Candice Wallace

Kentucky Transportation Center Research Report

For the Kentucky Transportation Cabinet’s (KYTC) Department of Highways, project development encompasses all the work activities needed to move a transportation project from concept and project initiation to construction letting. Developing projects efficiently requires the adoption of sound project management practices. Although KYTC has a long track record of executing complex projects, doing so is increasingly challenging due to staff attrition and the attendant loss of institutional knowledge. Today’s entry- and mid-level project managers have more responsibilities than ever but lack a trusted source of guidance to help them manage projects from development through completion. The objective of this study …

Reducing Vehicle Licensing And Titling Fraud, Mallory Brown, Andrew Martin, Jeeyen Koo, Jennifer Walton

Kentucky Transportation Center Research Report

This study reviews Kentucky’s vehicle licensing and registration program, evaluates methods of motor vehicle title fraud, examines current anti-fraud mechanisms in Kentucky, reports on vehicle titling and anti-fraud efforts in other states, assesses Ohio’s vehicle inspection program, and develops a proposal for a new Kentucky rebuilt title inspection program. Researchers developed the proposal based on historical Kentucky vehicle registration and titling data, a survey of other states, and other information provided by Kentucky’s Division of Motor Vehicle Licensing and other agency partners. Kentucky historical data revealed consistently high numbers of salvage title applications as well as spatial concentration in rebuilt …

Single Wall Carbon Nanotubes For The Detection Of Misfolded Proteins In Neuro-Degenerative Disorders, Stefanie Vining

Senior Honors Projects

Single wall carbon nanotubes (SWCNT) are one-dimensional carbon nanomaterials made up of a singular layer of graphene. These nanotubes can be functionalized with different molecules for various bio-sensing/imaging applications. SWCNTs are unique in their ability to be used as long-term multiplexed sensors due to their photostability and ability to remain fluorescent.

This project focused on the functionalization of SWCNTs to detect misfolded proteins for early detection of neuro-degenerative diseases like Alzheimers. Currently, there is no simple way to detect these misfolded proteins and diagnose for diseases like Alzheimers, Parkinsons, or ALS, and a confirmed diagnosis can take upwards of six …

Insight Into Uniform Filming Of Lif-Rich Interphase Via Synergistic Adsorption For High-Performance Lithium Metal Anode, Yufang He, Li Wang, Aiping Wang, Bo Zhang, Hiep Pham, Jonghyun Park, Xiangming He

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Multi-scale simulation is an important basis for constructing digital batteries to improve battery design and application. Lif-rich solid electrolyte interphase (sei) is experimentally proven to be crucial for the electrochemical performance of lithium metal batteries. However, the lif-rich sei is sensitive to various electrolyte formulas and the fundamental mechanism is still unclear. Herein, the structure and formation mechanism of lif-rich sei in different electrolyte formulas have been reviewed. On this basis, it further discussed the possible filming mechanism of lif-rich sei determined by the initial adsorption of the electrolyte-derived species on the lithium metal anode (lma). It proposed that individual …

Risk–Reward Share Allocation Under Different Integrated Project Delivery Relational Structures: A Monte-Carlo Simulation And Cooperative Game Theoretic Solutions Approach, Radwa Eissa, Mohamad Abdul Nabi, Islam H. El-Adaway

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Sharing of risks and rewards is considered to be one of the key benefits and principles of integrated project delivery (IPD). Despite its importance, risk–reward strategies are not implemented widely in IPD construction projects due to the lack of a well-defined basis for establishing adequate allocation plans. This paper fills this knowledge gap. This research followed a multistep methodology. First, the authors calculated the risk control valuations of all potential combinations of coalitions for IPD stakeholders. This was performed using interrelated steps of risk identification and quantification, risk assignment based on associated contractual analysis, establishment of a coordination network, and …

First-Principles Calculations Of Lattice Thermal Conductivity In Tl,3Vse4: Uncertainties From Different Approaches Of Force Constants, Zhi Li, Yi Xia, Chris Wolverton

Mechanical and Materials Engineering Faculty Publications and Presentations

Accurate and reliable first-principles simulations of lattice thermal conductivity (κL) of highly anharmonic crystals have long been challenging in condensed matter and materials physics. With recent theoretical advances, the calculation of κL has evolved into a sophisticated process requiring the consideration of higher levels of refinements, such as high-order phonon-phonon scattering, anharmonic phonon renormalization, and heat transport beyond the phonon gas picture. Interatomic force constants (IFCs), however, as a shared pillar of the above concepts, are sometimes ambiguously implemented in this process, resulting in non-negligible uncertainties among different studies. Here, we revisit the ultralow κL of Tl3VSe4 and make a …

Reducing Bias In Cyberbullying Detection With Advanced Llms And Transformer Models, Dahana Moz Ruiz, Annaliese Watson, Anjana Manikandan, Zachary Gordon

Center for Cybersecurity

This paper delved into a comprehensive exploration of the inherent biases present in Large Language Models (LLMs) and various Transformer models, with a focus on their role in identifying and addressing instances of cyberbullying. The objective was to refine and enhance the accuracy and fairness of these models by mitigating the biases deeply ingrained in their structures. This was crucial because language models could inadvertently perpetuate and amplify existing biases present in the data they were trained on.

Use Of Mobile Technology To Identify Behavioral Mechanisms Linked To Mental Health Outcomes In Kenya: Protocol For Development And Validation Of A Predictive Model, Willie Njoroge, Rachel Maina, Frank Elena, Lukoye Atwoli, Anthony Ngugi, Srijan Sen, Stephen Wong, Linda Khakali, Andrew Aballa, James Orwa, Moses Nyongesa, Jasmit Shah, Amina Abubakar, Zul Merali

Brain and Mind Institute

Objective:This study proposes to identify and validate weighted sensor stream signatures that predict near-term risk of a major depressive episode and future mood among healthcare workers in Kenya.

Approach: The study will deploy a mobile application (app) platform and use novel data science analytic approaches (Artificial Intelligence and Machine Learning) to identifying predictors of mental health disorders among 500 randomly sampled healthcare workers from five healthcare facilities in Nairobi, Kenya.

Expectation: This study will lay the basis for creating agile and scalable systems for rapid diagnostics that could inform precise interventions for mitigating depression and ensure a healthy, resilient …