Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Mechanical Engineering (11)
- Operations Research, Systems Engineering and Industrial Engineering (11)
- Physical Sciences and Mathematics (8)
- Industrial Engineering (7)
- Aerospace Engineering (6)
-
- Electrical and Computer Engineering (6)
- Computer Sciences (5)
- Civil and Environmental Engineering (4)
- Computer Engineering (4)
- Nuclear Engineering (4)
- Chemical Engineering (3)
- Operational Research (3)
- Other Operations Research, Systems Engineering and Industrial Engineering (3)
- Power and Energy (3)
- Biomedical Engineering and Bioengineering (2)
- Construction Engineering and Management (2)
- Other Chemical Engineering (2)
- Other Mechanical Engineering (2)
- Physics (2)
- Software Engineering (2)
- Acoustics, Dynamics, and Controls (1)
- Aerodynamics and Fluid Mechanics (1)
- Applied Mechanics (1)
- Biochemical and Biomolecular Engineering (1)
- Biological Engineering (1)
- Biomaterials (1)
- Biomechanical Engineering (1)
- Biomechanics and Biotransport (1)
- Computer and Systems Architecture (1)
- Institution
-
- Clemson University (8)
- Brigham Young University (3)
- University of Tennessee, Knoxville (3)
- Utah State University (3)
- Air Force Institute of Technology (2)
-
- California Polytechnic State University, San Luis Obispo (2)
- Mississippi State University (2)
- Missouri University of Science and Technology (2)
- New Jersey Institute of Technology (2)
- University of Texas at El Paso (2)
- Washington University in St. Louis (2)
- Boise State University (1)
- Embry-Riddle Aeronautical University (1)
- Rowan University (1)
- The University of Akron (1)
- University of Massachusetts Amherst (1)
- University of Mississippi (1)
- University of Nevada, Las Vegas (1)
- University of New Mexico (1)
- University of Texas Rio Grande Valley (1)
- University of Texas at Arlington (1)
- University of Texas at Tyler (1)
- University of Vermont (1)
- West Virginia University (1)
- Western University (1)
- Wright State University (1)
- Publication
-
- Theses and Dissertations (9)
- All Dissertations (4)
- All Theses (4)
- Doctoral Dissertations (4)
- All Graduate Theses and Dissertations, Spring 1920 to Summer 2023 (3)
-
- Construction Management (2)
- Dissertations (2)
- Masters Theses (2)
- McKelvey School of Engineering Theses & Dissertations (2)
- Open Access Theses & Dissertations (2)
- Boise State University Theses and Dissertations (1)
- Browse all Theses and Dissertations (1)
- Doctoral Dissertations and Master's Theses (1)
- Electrical and Computer Engineering ETDs (1)
- Electronic Thesis and Dissertation Repository (1)
- Graduate College Dissertations and Theses (1)
- Graduate Theses, Dissertations, and Problem Reports (1)
- Honors Theses (1)
- Industrial, Manufacturing, and Systems Engineering Dissertations (1)
- Mechanical Engineering Theses (1)
- UNLV Theses, Dissertations, Professional Papers, and Capstones (1)
- Williams Honors College, Honors Research Projects (1)
Articles 31 - 46 of 46
Full-Text Articles in Engineering
An Optimization Modeling Framework To Evaluate Civilians Response Under Active Shooter Violence Situations, Joseph G. Kerlin
An Optimization Modeling Framework To Evaluate Civilians Response Under Active Shooter Violence Situations, Joseph G. Kerlin
Theses and Dissertations
Workplace safety is under serious threat due to the increasing trend of active shooter violence in recent years. Therefore, it becomes essential that the safety of a workplace is rigorously and, most importantly, methodologically assessed against active shooter violence. To serve this purpose, this study proposes a machine learning-optimization framework to assess the safety of a building against possible active shooter violence. First, several state-of-the-art machine learning models are employed to predict an agent’s movement decisions (with directions) under different violence scenarios. The predictions are then utilized in a mixed-integer linear programming model to maximize the agent’s utility under a …
Optimization And Analysis Of A Styrene Production Process, Alexis Kimpel
Optimization And Analysis Of A Styrene Production Process, Alexis Kimpel
Honors Theses
The production of styrene from ethylbenzene in Unit 500 is designed to start up in 2024 and operate for 12 years after startup. The engineering team was tasked with designing the process, creating an economic model, and optimizing the net present value (NPV). The process was simulated in AVEVA PRO/II Simulation for the design process and to estimate the size of equipment. Parametric and topological optimization was performed subsequently on the unit operations in the process. The NPV was improved by $423M from a base case of -$919M to an optimized case of -$496M. The project is recommended to continue …
Interdiction Models To Disrupt The Operations Of Sex Trafficking And Other Forced Illicit Labor Networks, Michael T. Clark
Interdiction Models To Disrupt The Operations Of Sex Trafficking And Other Forced Illicit Labor Networks, Michael T. Clark
All Theses
Sex traffickers often force their victims to work in both commercial sex markets and perform other illicit activities (e.g., drug dealing, theft, and fraud). Current literature has failed to address interdiction models that aim to disrupt all components of a sex traffickers’ operation, including these other illicit activities. In this thesis, we present a interdiction problem, and its single-level linear optimization reformulation, to reduce the profit of a human trafficking network concurrently operating in the commercial sex market and other illicit activity markets. Our novel formulation aims to investigate the practical implications of interdiction decisions made to disrupt a human …
Optimal Relative Path Planning For Constrained Stochastic Space Systems, Nathan Bohus Stastny
Optimal Relative Path Planning For Constrained Stochastic Space Systems, Nathan Bohus Stastny
All Graduate Theses and Dissertations, Spring 1920 to Summer 2023
Rendezvous and proximity operations for automated spacecraft systems requires advanced path planning techniques that are capable of generating optimal paths. Real-world constraints, such as sensor noise and actuator errors, complicate the planning process. Operations also require flight safety considerations in order to prevent the spacecraft from potentially colliding with the associated companion spacecraft. This work proposes a new, ground-based trajectory planning approach that seeks an optimal trajectory while meeting all mission constraints and accounting for vehicle performance and safety requirements. This approach uses a closed-loop linear covariance simulation of the relative trajectory coupled with a genetic algorithm to determine fuel …
Machine Learning Based Aerodynamic Shape Optimization, Noe Martinez Jr.
Machine Learning Based Aerodynamic Shape Optimization, Noe Martinez Jr.
Theses and Dissertations
The coefficient of pressure distribution for various 2D airfoil geometries were found using source – vortex panel methods. The data obtained in these simulations was used in multiple machine learning models which would predict the airfoil geometry from a given coefficient of pressure distribution. The neural networks employed were fully connected feedforward networks with Levenberg – Marquardt backpropagation and one model employed Bayesian Regularization. A novel tool for optimizing airfoil shape for a given coefficient of pressure distribution was created which performed well during testing. These models serve as the first step in minimizing the conflict between aerodynamic and stealth …
Investigations Of External Resources And The Impact Of Imaging On Patient Flow In The Emergency Department, Marisa Shehan
Investigations Of External Resources And The Impact Of Imaging On Patient Flow In The Emergency Department, Marisa Shehan
All Theses
The problems associated with Emergency Department (ED) crowding are numerous, varied, and complex. Though overcrowded Emergency Departments are frequently attributed to overcrowded hospitals, crowding is also impacted by bottlenecks in patient flow. While discrete-event simulation (DES) is commonly used to model ED flow, external resources are typically excluded from these models due to their complexity and the limited amount of known information for these processes. Instead, external resources such as consults, labs, and imaging are modeled using estimation and/or educated guesswork. In this study, the impact of imaging on patient flow was assessed through data analysis of specific imaging factors, …
A Numerical Optimization Study Of A Novel Electrospray Emitter Design, Joshua H. Howell
A Numerical Optimization Study Of A Novel Electrospray Emitter Design, Joshua H. Howell
Masters Theses
The low thrust and high specific impulse of electric propulsion has been brought to the forefront for CubeSat and small spacecraft applications. Electrospray thrusters, which operate via electrostatic principles, have seen much research, development, and application in recent years. The small sizes of the spacecraft that utilize electrospray thrusters has focused development into the miniaturization of this technology to the micro-scale. Miniaturization introduces design challenges that must be addressed, including power supply mass and footprint requirements. This consequence requires investigation into the effects of design choices on the thruster onset voltage, defined as the voltage at which ion emission begins. …
Multi-Device Data Analysis For Fault Localization In Electrical Distribution Grids, Jacob D L Hunte
Multi-Device Data Analysis For Fault Localization In Electrical Distribution Grids, Jacob D L Hunte
Electronic Thesis and Dissertation Repository
The work presented in this dissertation represents work which addresses some of the main challenges of fault localization methods in electrical distribution grids. The methods developed largely assume access to sophisticated data sources that may not be available and that any data sets recorded by devices are synchronized. These issues have created a barrier to the adoption of many solutions by industry. The goal of the research presented in this dissertation is to address these challenges through the development of three elements. These elements are a synchronization protocol, a fault localization technique, and a sensor placement algorithm.
The synchronization protocol …
Using Project Production Methodology To Compare Onsite Prefabrication Steel Erection To Traditional Stick-Built, Corinne R. Nalder
Using Project Production Methodology To Compare Onsite Prefabrication Steel Erection To Traditional Stick-Built, Corinne R. Nalder
Construction Management
Project production management provides continuity, predictability, and optimization of a process in comparison to the traditional approach of project management. Prefabrication is an example of project production management in which there is continuity of the product, reduced variability, and where the assembly process can be altered for best results. This paper will examine the benefits of project production management and compare two methods of steel erection in which one method performs an onsite prefabrication process while the other method employs the traditional stick-built process. The two methods will be modeled by a tool that replicates a repetitive process similar to …
A New Approach To Career Field Matching For Commissioning Air Force Cadets, Daniel Griffen Laird
A New Approach To Career Field Matching For Commissioning Air Force Cadets, Daniel Griffen Laird
Theses and Dissertations
The current method of assigning graduating cadets from the United States Air Force Academy and Reserve Officers' Training Corps (ROTC) detachments to their career fields uses an integer programming model to maximize \global" Air Force utility, subject to several Air Force-defined constraints. This utility evaluates the positive benefit of assigning a certain cadet to a certain career field. This paper discusses the issues with such a model, as well as presents a new, more refined approach to the problem. Rather than provide a one-size-fits-all formulation of this particular assignment problem, a Value-Focused Thinking (VFT) framework is applied, in conjunction with …
Pymoocfd - A Multi-Objective Optimization Framework For Cfd, George Martin Cunningham Love
Pymoocfd - A Multi-Objective Optimization Framework For Cfd, George Martin Cunningham Love
Graduate College Dissertations and Theses
Modern computational resource have solidified the use of computer modeling as an integral part of the engineering design process. This is particularly impressive when it comes to high-dimensional models such as computational fluid dynamics (CFD) models. CFD models are now capable of producing results with a level of confidence that would previously have required physical experimentation. Simultaneously, the development of machine learning techniques and algorithms has increased exponentially in recent years. This acceleration is also due to the widespread availability of modern computational resources. Thus far, the cross-over between these fields has been mostly focused on computer models with low …
Advanced Process Modeling And Optimization Of Amine-Based Carbon Capture Process, Paul Jide Terhemba Akula
Advanced Process Modeling And Optimization Of Amine-Based Carbon Capture Process, Paul Jide Terhemba Akula
Graduate Theses, Dissertations, and Problem Reports
With the rise of carbondioxide (CO2) concentration in the atmosphere to more than 400 parts per million (ppm), research efforts have been focused on achieving net-zero carbon emission technologies. Post-combustion CO2 capture (PCC) is a key strategy in reducing CO2 emissions. Amine-based CO2 capture is the baseline technology for retrofitting existing power stations. However, the integration of amine-based PCC technology with power plants to reduce greenhouse gas emissions incurs a high energy penalty, decreasing a powerplant’s efficiency by about 23 percentage points. Understanding the capture plant dynamics plays an important role in its technical and economic performance. Rigorous models are …
Design, Analysis, And Optimization Of Traffic Engineering For Software Defined Networks, Mohammed Ibrahim Salman
Design, Analysis, And Optimization Of Traffic Engineering For Software Defined Networks, Mohammed Ibrahim Salman
Browse all Theses and Dissertations
Network traffic has been growing exponentially due to the rapid development of applications and communications technologies. Conventional routing protocols, such as Open-Shortest Path First (OSPF), do not provide optimal routing and result in weak network resources. Optimal traffic engineering (TE) is not applicable in practice due to operational constraints such as limited memory on the forwarding devices and routes oscillation. Recently, a new way of centralized management of networks enabled by Software-Defined Networking (SDN) made it easy to apply most traffic engineering ideas in practice. \par Toward creating an applicable traffic engineering system, we created a TE simulator for experimenting …
Using Computational Methods To Optimize High Heat Flux Component Thermal Performance In Magnetic Confinement Fusion Reactor Research, Monica Gehrig
Using Computational Methods To Optimize High Heat Flux Component Thermal Performance In Magnetic Confinement Fusion Reactor Research, Monica Gehrig
Doctoral Dissertations
"Heat transfer enhancement by means of internally modified geometries in tubes and channels is an important mechanism to improve the survivability of components in extreme high-heat flux environments. Various features such as ribs and fins are studied using computational fluid dynamics in both uniform and one-sided heating in tubes and rectangular channels respectively to determine the most effective geometries across a variety of different flow and heating conditions. This work examines heat transfer enhancement and rib geometry optimization to support experimental research for nuclear fusion applications. The project begins by designing and analyzing test sections supporting a helium flow loop …
Particle Swarm Optimization For Critical Experiment Design, Cole Michael Kostelac
Particle Swarm Optimization For Critical Experiment Design, Cole Michael Kostelac
Masters Theses
“Critical experiments are used by nuclear data evaluators and criticality safety engineers to validate nuclear data and computational methods. Many of these experiments are designed to maximize the sensitivity to a certain nuclide-reaction pair in an energy range of interest. Traditionally, a parameter sweep is conducted over a set of experimental variables to find a configuration that is critical and maximally sensitive. As additional variables are added, the total number of configurations increases exponentially and quickly becomes prohibitively computationally expensive to calculate, especially using Monte Carlo methods.
This work presents the development of a particle swarm optimization algorithm to design …
Extraction Of Melanin From Black Knot Fungus: Optimization And Applications, Amara Davis
Extraction Of Melanin From Black Knot Fungus: Optimization And Applications, Amara Davis
Williams Honors College, Honors Research Projects
The goal of this research project was to optimize the extraction of melanin from black knot fungus and to analyze possible applications of the extracted melanin. An extraction method that was previously created was examined for possible improvements. Improvements that were studied include the elimination of steps in the extraction process while obtaining the same quality of product, examining options for machinery that could be used to increase production rate when moved to a production plant setting, and optimize the concentrations of the raw materials that are used in the extraction for possible reduction of cost without compromising yield or …