Engineering Commons^™

Learning–Assisted Constraint Filtering To Enhance Power System Optimization Performance, Fouad Hasan

LSU Doctoral Dissertations

Machine learning (ML) is a powerful tool that provides meaningful insights for operators to make fast and efficient decisions by analyzing data from power systems. ML techniques have great potential to assist in solving optimization problems within a shorter time frame and with less computational burden. AC optimal power flow (ACOPF), dynamic economic dispatch (D-ED), and security-constrained unit commitment (SCUC) are the three energy management optimization functions studied in this dissertation. ACOPF is solved every 5~15 minutes. Because of the nonconvex and complex nature of ACOPF, solving this problem for large systems is computationally expensive and time-consuming. Classification and regression …

Ecological Validity Of Immersive Virtual Environment Experiments On Human Thermal State And Behavioral Intentions: Experimental Protocol Factors, Girish Rentala

LSU Doctoral Dissertations

Using immersive virtual environment (IVE) based experiments to investigate human thermal states and thermal adaptive behaviors during the building design phase could help identify potential comfort issues and enable designers to optimize building performance cost-effectively before the actual building construction. However, to effectively utilize IVEs to study thermal states/adaptive behaviors, it is crucial to ensure the ecological validity of IVE experiment protocols. This entails accurately representing in-situ (real) environments within IVEs and establishing comparability and generalizability of data collected under different thermal stimuli between IVE and in-situ environments. Existing thermal stimuli based IVE studies have not effectively evaluated the ecological …

Behavioral Comparison Of Fluorescent Tracer Sediment To Lightweight Polystyrene Sediment Of The Lower Mississippi River Physical Model (Lmrpm), Julia C. Mudd

LSU Master's Theses

A lightweight, unexpanded polystyrene sediment with a specific gravity of 1.05 and a D10, D50 and D90 of 0.250 mm, 0.425mm, and 0.800 mm, respectively, is utilized in the Lower Mississippi River Physical Model (LMRPM) at Louisiana State University to mimic the sand transport of the Lower Mississippi River. While the black model sediment is easily visible against the stark white of the LMRPM, the relative homogeneity of the sediment particles and the opaqueness of the model channel make it difficult to closely study sediment dynamics during an experiment. For this reason, a tracer sediment that is marked with fluorescence …

Behavior Of Gas Influx In Riser And Considerations For Riser Gas Handling, Mahendra Kumar Kunju

LSU Doctoral Dissertations

Conventional methods of managing Gas-in-Riser events are not optimal when the riser is isolated from the formation by a closed subsea blowout preventer (BOP) on rigs equipped with Mud-GasSeparator (MGS), Managed Pressure Drilling (MPD), or Riser Gas Handling (RGH) equipment. As the use of adaptive drilling processes like MPD facilitates drilling of otherwise non-drillable wells with faster corrective action, the drilling industry should include the effect of gas solubility, dispersion, bubble suspension, fluid compressibility as well as riser ballooning to avoid overestimation of riser pressure and produce more efficient well control methods. The IADC Deepwater Well Control Guideline recommends always …

Exploring Machine Learning In Deep Foundation And Soil Classification Application, Mohammad Moontakim Shoaib

LSU Master's Theses

The applicability of several Machine Learning (ML) models was explored in this research to predict the ultimate capacity and load-settlement behavior of axially loaded single-driven piles from Cone Penetration Test (CPT) data. Additionally, a common CPT-based soil behavior type (SBT) classification system was reproduced using those ML models. Eighty static pile load tests and corresponding CPT data close to those pile locations were collected from 34 sites in Louisiana for the deep foundation application. On the other hand, 70 CPT soundings were taken in 14 different parishes across Louisiana for the soil classification application. Specifically, tree-based ML models such as …

Software-Defined Networking Security Techniques And The Digital Forensics Of The Sdn Control Plane, Abdullah Alshaya

LSU Doctoral Dissertations

Software-Defined Networking (SDN) is an efficient networking design that decouples the network's control plane from the data plane. When compared to the traditional network architecture, the SDN architecture shares many of the same security issues. The centralized SDN controller makes it easier to control, easier to program in real-time, and more flexible, but this comes at the cost of more security risks. An attack on the control plane layer of the SDN controller is a major security concern.

First, centralized design and the existence of a single point of failure in the control plane compromise the accessibility and availability of …

An Investigation On The Resilience Of Long Short-Term Memory Deep Neural Networks, Christopher Vasquez

LSU Master's Theses

In a world of continuously advancing technology, the reliance on these technologies continues to increase. Recently, transformer networks [22] have been implemented through various projects such as ChatGPT. These networks are extremely computationally demanding and require cutting-edge hardware to explore. However, with the growing increase and popularity of these neural networks, a question of reliability and resilience comes about, especially as the dependency and research on these networks grow. Given the computational demand of transformer networks, we investigate the resilience of the weights and biases of the predecessor of these networks, i.e. the Long Short-Term (LSTM) neural network, through four …

Optimization Of The Self-Healing Efficiency Of Bacterial Concrete Using Impregnation Of Three Different Precursors Into Lightweight Aggregate, Omar Omar

LSU Master's Theses

Concrete is the most broadly used construction material; thus, developing sustainable concrete is essential to decrease greenhouse gas (GHG) emissions from concrete production. Implementation of self-healing concrete technologies is a promising approach to enhance the durability and sustainability of the transportation infrastructure. Among these technologies, bacterial concrete has the potential to seal microcracks through microbial induced calcite precipitation (MICP). Bacterial protection is essential to ensure the viability of this technology due to concrete’s harsh environment. Additionally, the success of this technology depends on the presence of an adequate mineral precursor compound and nutrient for the bacteria. As such, the main …

Regenerative Medicine For Tendon/Ligament Injuries: De Novo Equine Tendon/Ligament Neotissue Generation And Application, Takashi Taguchi

LSU Doctoral Dissertations

Tendon and ligament injuries are debilitating conditions across species. Poor regenerative capacities of these tissues limit restoration of original functions. The first study evaluated the effect of cellular administration on tendon/ligament injuries in horses using meta-analysis. The cellular administration was effective in restoring ultrasonographic echogenicity and increasing vascularity during early phase of healing. Additionally, it improved microstructural organization of healed tissue in terms of cellularity and fiber alignment. However, the study did not support its use for increasing rate of return to performance, expression/deposition of tendon-specific genes/proteins, or mechanical properties.

The findings led to the second study that engineered implantable …

Shape Memory Polymer-Based Multifunctional Syntactic Foams, Siavash Sarrafan

LSU Doctoral Dissertations

With the increase in popularity of shape memory polymers (SMPs), especially in applications such as aerospace, textile, biomedical engineering, and even structures, the weight of the material and the devices made with it has always been a crucial factor. Using the shape memory polymer as a matrix to make a syntactic foam is one of the best and most affordable approaches to creating a lighter material that still has the shape memory effect. The addition of particles of different stiffness, strength, and size, with variable fractions, creates a composite that enables engineering the mechanical, as well as other physical and …

Removal Of Radionuclides Using Capacitive Deionization, Yusik Won

LSU Doctoral Dissertations

Severe nuclear accidents, including the Fukushima nuclear power plant accident, can lead to the discharge of large amounts of radionuclides into aquatic environments. Some radionuclides such as ¹³⁷Cs and ⁹⁰Sr have long half-lives and can remain in the environment for a long period of time. These radionuclides can be detrimental to humans and the environments because they can cause human and environmental exposure to ionizing radiation and because they can be bioaccumulated and biomagnified. Therefore, in case of a severe accident and a radioactive spill, it is important to quickly clean up and treat radioactively contaminated water to …

Image Analysis Methodology For Evaluating Coating Uniformity Of Drug-Coated Angioplasty Balloons, Allison Dobson Zieschang

LSU Master's Theses

Percutaneous transluminal balloon angioplasty (PTA) is a surgical procedure to treat peripheral artery disease, but restenosis causes suboptimal outcomes in many patients. Drug-coated angioplasty balloons (DCBs) were developed to reduce the risk of restenosis by delivering anti-proliferative drugs to the lesion. The efficacy of DCBs depends on factors like drug loading and drug release rate, both of which are directly impacted by the coating uniformity. This thesis evaluates the uniformity of DBCs using fluorescence microscopy, scanning electron microscopy (SEM), qualitative analysis, and an image processing algorithm. Uniformity was quantified by three measurements: histogram standard deviation, histogram percentage of coverage, and …

Seasonal Seepage Fluid Flow And Pressure Detection Beneath Flood Protection Levees In The Lower Mississippi River Valley Using Non-Invasive Geophysical Methods, Daniel Locci

LSU Doctoral Dissertations

This study explores the use of shear-wave seismic reflection and electrical resistivity techniques to complement our understanding of seepage pore pressure variations and soil type estimation beneath earthen levees in the Mississippi River floodplain. The seasonal variations of water level in the river create changes in pore pressure in the adjacent aquifer, which can be detected using time-lapse shear-wave velocity analysis. The seismic reflection patterns during these pressure variations show changes in velocity that can be translated into changes in effective pressure, allowing us to distinguish between confined and leaky aquifers.

In addition, the integration of geophysical methods such as …

Development Of Novel Electrodes And Electrolytes For Safer Aqueous Ammonium Ion Batteries With Enhanced Performance., Shelton Farai Kuchena

LSU Doctoral Dissertations

The Lithium-ion battery (LIBs) system has dominated the battery market because of its superior energy and power density. Problems related to LIBs such as safety, scarcity of cobalt and lithium have led researchers to explore alternative battery systems. NH₄⁺ ion is a nonmetal charge carrier with lower molar mass (18 mol g^-1) and smaller hydrated ionic size (3.31 Å) which results in excellent electrochemical properties. Furthermore, NH₄⁺ ion has a tetrahedral structure that has no preferred orientation as compared to spherical metal ions giving a different intercalation chemistry based on hydrogen bonding. These properties …

Calibration And Use Of S3f Sensor For Normal And Shear Stress Measurements In Soil, Hussein Alqrinawi

LSU Master's Theses

Innovative sensors can provide new capabilities to monitor and understand the behavior of soil, rock, and geo-structures and help geotechnical engineers make informed decisions about the construction and maintenance of geo-structures. This study introduced, calibrated, and validated one such sensor, the Surface Stress Sensitive Film (S3F) point sensor, for both normal and shear stress measurements in soil along the soil-structure interface. The measurements of S3F sensor rely on the deformation of an elastic film that is monitored by a floating element embedded in the elastic film. This sensor provides measurements of the 3D deformation of the film which are converted …

Design And Synthesis Of Plasmonic Nanoparticles For Nir Bioimaging: Investigating The Role Of Absorption And Scattering, Luis Dias Bumba Manuel

LSU Doctoral Dissertations

Nanoparticles have made vast advances in the realm of nanomedicine and bioimaging, enabling technologies such as photothermal therapy of malignant tumors and noninvasive monitoring of living tissue. Many of these innovations have only arisen in the last few decades with potential for growth in many avenues. The research shown in this work addresses some of the existing literature's void. Particularly solving synthesis challenges that have existed for more than 20 years in synthesizing Au nanoshells and establishing the potential for molecular-level deep imaging of plants. A novel investigation of the role of light absorption and scattering in bioimaging led to …

Stabilizing Control Schemes For Grid-Connected Hybrid Pv-Energy Storage Systems, Indra Narayana Bhogaraju

LSU Doctoral Dissertations

A nonlinear stabilizing control scheme based on Lyapunov theory is proposed for a grid- connected hybrid photovoltaic (PV)/ battery/supercapacitor (SC) system. The system dynamics is developed in the stationary reference frame, and the state-space model of the system is derived and used to formulate the Lyapunov function (LF) candidate. The global asymptotic stability of the LF-based controller is discussed in detail. The real-time implementation feasibility of the proposed control scheme is validated through hardware-in-the-loop (HIL) studies of a grid- connected hybrid system under solar energy generation and grid load variations. To address the issue of digital computational time that leads …

Numerical Flume For Wave Dissipation By Mangrove Prop Roots, Rebecca L. Schurr

LSU Master's Theses

Mangroves provide shorelines with many beneficial engineering services, including shoreline stabilization, wave attenuation, and damage mitigation during tsunami or tropical cyclone events. This research focuses on wave attenuation rates and drag coefficients, and how they are affected by mangrove prop roots. Previous lab research using a physical wave flume has quantified wave height decay and drag coefficients for synthetic mangrove forests and confirmed that attenuation does indeed increase as mangrove forest density increases. This research will use a 3D numerical flume model developed in Proteus, a Python package, to simulate prior physical model experiments. This work will attempt to validate …

Examining The Impact Of Different Street Lighting Schemes On Traffic Safety And Drivers’ Behaviors At Unsignalized Intersections, Hisham Mohamed Abdu Kunnah

LSU Master's Theses

Lack of visibility is one of the main challenges that significantly impact drivers’ ability to safely perform driving tasks at night especially at unsignalized intersections. Several prior studies indicated that lighting enhances nighttime traffic safety. Nevertheless, lighting is not mandatory at unsignalized intersections in many states including Louisiana. This study aimed to investigate if lack of lighting is a contributing factor that affects traffic safety at unsignalized intersections in Louisiana. In addition, this study strived to identify current lighting policies adopted by other states, examine if there are any low-cost countermeasures implemented by other states to improve nighttime visibility, and …

Domain Specific Analysis Of Privacy Practices And Concerns In The Mobile Application Market, Fahimeh Ebrahimi Meymand

LSU Doctoral Dissertations

Mobile applications (apps) constantly demand access to sensitive user information in exchange for more personalized services. These-mostly unjustified-data collection tactics have raised major privacy concerns among mobile app users. Existing research on mobile app privacy aims to identify these concerns, expose apps with malicious data collection practices, assess the quality of apps' privacy policies, and propose automated solutions for privacy leak detection and prevention. However, existing solutions are generic, frequently missing the contextual characteristics of different application domains. To address these limitations, in this dissertation, we study privacy in the app store at a domain level. Our objective is to …

Blockchain Accelerators And An Application On Covid-19 Contact Tracing, Tao Lu

LSU Doctoral Dissertations

Blockchain technology has been an emerging technology in recent years. Its nature of decentralization and anonymity enables many applications to be built in a trustless environment but can still be validated and agreed upon by all the participants. Ever since the invention of blockchain technology, its concepts and forms are explored extensively, and it has shown the potential to be used in many industries. However, the low efficiency and the poor performance have prevented the technology to be adopted in practical largescale usage. In this dissertation, we present three major works around blockchain technology. The first one is BPU, an …

Deposition, Material Characterization, And Mechanical Testing Of Cr Containing Diamond-Like Carbon Films, Nicholas Anderson

LSU Master's Theses

A series of amorphous hydrogenated chromium containing diamond-like carbon films were deposited on 316 stainless steel substrates with a chromium interlayer through inductively coupled plasma assisted direct current magnetron sputtering. Details on the deposition process of these films are discussed. The film is characterized using scanning electron microscopy, X-ray photoelectron spectroscopy, X-ray diffraction, energy dispersive spectroscopy, and transmission electron microscopy. The coating hardness and indentation modulus is measured by instrumented nanoindentation. The coefficient of friction and the upper bound of the coating wear coefficient is measured using the pin-on-disk method. The fracture toughness of the diamond-like carbon film and a …

Machine-Learning Approaches For Developing An Autograder For High School-Level Cs-For-All Initiatives, Sirazum Munira Tisha

LSU Doctoral Dissertations

Most existing autograders used for grading programming assignments are based on unit testing, which is tedious to implement for programs with graphical output and does not allow testing for other code aspects, such as programming style or structure. We present a novel autograding approach based on machine learning that can successfully check the quality of coding assignments from a high school-level CS-for-all computational thinking course. For evaluating our autograder, we graded 2,675 samples from five different assignments from the past three years, including open-ended problems from different units of the course curriculum. Our autograder uses features based on lexical analysis …

Cable Decoupling And Cable-Based Stiffening Of Continuum Robots, Parsa Molaei

LSU Master's Theses

Cable-driven continuum robots, which are robots with a continuously flexible backbone and no identifiable joints that are actuated by cables, have shown great potential for many applications in unstructured, uncertain environments. However, the standard design for a cable-driven continuum robot segment, which bends a continuous backbone along a circular arc, has many compliant modes of deformation which are uncontrolled, and which may result in buckling or other undesirable behaviors if not ameliorated. In this study, a detailed approach for using additional cables to selectively stiffen planar cable-driven robots without substantial coupling to the actuating cables is investigated. A mechanics-based model …

Improved Selectivity And Stability In Methane Dry Reforming By Atomic Layer Deposition Onto Ni-Ceo2-Zro2/Al2o3 Catalysts, Jonathan Lucas

LSU Master's Theses

The use of Ni in the dry reforming of methane (DRM) has been widely studied as a replacement for noble metal catalysts (Pt, Pd, Rh) due to Ni’s low cost compared to noble metals, its abundance, and the fact that its DRM activity is near that of noble metal catalysts. However, Ni has been shown to deactivate quickly under DRM conditions. Rare earth oxides such as CeO₂, or as CeO₂-ZrO₂ (CZO) are supports that improve both the activity and stability of Ni DRM systems due to their redox activity. However, this same activity is thought …

Characterizing And Modeling The Impact Photorepair Conditions Have On Parameters Governing The Regrowth Of Escherichia Coli After Uvc Irradiation, And Investigating Potential Mitigation Strategies, Andrea J. Martinez Ballen

LSU Master's Theses

Ultraviolet disinfection has been used to treat water and wastewater for decades. Previous studies highlight the significance of disinfection conditions and attempt to model bacterial regrowth behavior according to disinfection dosing parameters. The emergence of light-emitting diode (LED) technology provides the ability to further explore bacterial repair methods after UV disinfection, which has been a growing concern within the UV community. However, it is necessary to also consider post-disinfection conditions to model the regrowth patterns of bacterial organisms more accurately. By varying reactivation wavelengths, and their respective intensities, experiments using Escherichia coli ATCC 15597 revealed how these parameters impact the …

Control And Optimization Of Multi-Agent Systems With Applications In Connected And Autonomous Electric Vehicles, Shaopan Guo

LSU Doctoral Dissertations

A multi-agent system (MAS) is a system in which multiple autonomous agents interact with each other to achieve a common goal. Nevertheless, current designs of MAS controllers typically rely on particular requirements, such as time-triggered communication, linear dynamics, and access to global information. These limitations restrict the applicability of MASs. This thesis aims to eliminate these constraints and optimize the energy consumption of a specific MAS, namely connected autonomous electric vehicles (CAEVs).

This thesis first addresses the consensus problem of linear MASs with intermittent communication. An adaptive distributed control algorithm that integrates edge-based event-triggered (ET) communication mechanisms is presented in …

Physics-Based Crystal Plasticity Model For Predicting Microstructure Evolution And Dislocation Densities, Juyoung Jeong

LSU Doctoral Dissertations

This work presents three different studies investigating plastic deformation mechanisms in metals and alloys using crystal plasticity finite element (CPFE) modeling. The first study presents a new nonlocal crystal plasticity model for face-centered cubic single crystals under heterogeneous inelastic deformation. The model incorporates generalized constitutive relations that incorporate the thermally activated and drag mechanisms to cover different kinetics of viscoplastic flow in metals and describes the plastic flow and yielding of single-crystals using dislocation densities. The model is compared to micropillar compression experiments for copper single crystals and clarifies the complex microstructural evolution of dislocation densities in metals. The second …

Motivators And Preferences Of Route Diversion During Roadway Incidents, Grace Cole

LSU Master's Theses

When confronted with congestion and delay, drivers often divert their route. Depending on factors like purpose, urgency, destination, route alternatives, type of disruption, and mode options, common diversionary options can range from changing departure time, route, and mode to canceling a trip altogether. One of the foundational building blocks of travel forecasting is traffic assignment, which is used to distribute trips over a network using complex algorithms to aggregately represent the desire of drivers to minimize travel time.

While these assignment models are backed by decades of research and observational experience, they are also limited by the fact that they …

A Data-Driven Multivariate Process Monitoring Platform For Knowledge Discovery And Model Building In Industrial Applications, Estelle E. Seghers

LSU Master's Theses

In industrial chemical manufacturing processes, the amount of raw data generated can add complexity in the analysis and understanding of the process dynamics. Being able to properly interpret this data can help improve plant operation, especially regarding safety and profitability. This research has culminated in FastMan-JMP, a platform proposed for monitoring of industrial processes and optimization of the offline data-driven model-building process as part of the process monitoring workflow. FastMan-JMP is a tool developed in Python to apply various data mining and machine learning techniques quickly and easily to better understand valuable patterns and hidden trends in process data. One …