Engineering Commons^™

Next Generation Permeable Pavement For Enhanced Durability And Functionality, S M Tanvir

LSU Master's Theses

Porous Asphalt Concrete (PAC), also known as Open-Graded Friction Course (OGFC), is known for its high permeability, which provides benefits such as enhanced rainwater drainage, improved skid resistance, and reduced hydroplaning risks. These characteristics are due to its high air void content, allowing water to flow through the pavement and reducing splash, spray, and noise compared to conventional asphalt mixes. However, this high air void content also contributes to durability concerns, such as raveling, stripping, and clogging, which can reduce service life and increase costs, making OGFC more expensive than conventional asphalt mixtures.

This research focuses on identifying the failure …

Measuring And Modeling Grease Degradation, Alan Gurt

LSU Doctoral Dissertations

Lubricating grease is an ideal lubricant for many devices such as roller bearings, journal bearings, slide bearings, gears, and many types of joints due to its simplicity. Once grease is put in place, it can often provide adequate lubrication for extended periods of time without the need for a complex supply system that would generally be needed for oil lubrication. However, during prolonged use, various degradation mechanisms change the physical and chemical properties of grease, possibly leading to inadequate performance and machinery failure.

In order to succinctly quantify the degradation of grease, it is essential to have robust, meaningful test …

Forensicllm: A Local Large Language Model For Digital Forensics, Binaya Sharma

LSU Master's Theses

Large Language Models (LLMs) excel in diverse natural language tasks but often lack specialization in fields like digital forensics. Their reliance on cloud-based APIs or high-performance computers restricts their use in resource-limited environments, and response hallucinations could compromise their applicability in forensic contexts. We introduce ForensicLLM, a 4-bit quantized LLaMA-3.1-8B model fine-tuned using Retrieval Augmented Fine-tuning (RAFT) on 6,739 Q&A samples extracted from 1,082 digital forensic research articles and curated digital artifacts. Evaluation on 2,244 Q&A samples showed that ForensicLLM outperformed the base LLaMA-3.1-8B model by 4.06%, 5.43%, and 15.79% on BERTScore F1, BGE-M3 cosine similarity, and G-Eval, respectively. Compared …

Development Of Machine Learning-Based Tool For Prediction Of Long-Term Field Performance Of Asphalt Concrete Overlays In A Hot And Humid Climate, Elise Mansour

LSU Doctoral Dissertations

The performance of pavement plays a critical role in Maintenance, Rehabilitation and Reconstruction (MR&R) for highway agencies. Reliable and accurate estimation of pavement performance can be instrumental in prioritization of the limited resources and funding for highway agencies. The latter requires robust prediction models that can handle large-scale, real-world data and can forecast pavement performance in the long run. Unfortunately, the traditional performance prediction models have raised concerns regarding their efficiency and accuracy. It is because these models were based on a limited number of explanatory variables, were not up-to-date and were designed for forecasting short-term (up to five years) …

Effect Of Workload And Trust On Automation Levels In Human-Robot Collaboration, Abhiram Maddula

LSU Master's Theses

Automation is becoming increasingly common in manufacturing and assembly plants. The future lies in hybrid workspaces where the strengths of humans and robots complement each other, with robots excelling in precision, speed, and strength, and humans excelling in creativity, emotional intelligence, and complex decision-making. Collaborative robots can foster a more efficient and productive work environment by bridging the gap between human and machine capabilities. This study examines how semi-automated and automated modes impact human-robot collaboration, focusing on mental workload, trust, and task performance.

In this experiment, 58 participants performed a primary task alongside a collaborative robot assembling a miniature lamppost …

Precision Bottlebrush Polymers: Synthesis, Characterization, And Structure-Property Relationship, Nduka D. Ogbonna

LSU Doctoral Dissertations

Bottlebrush polymers, a type of non-linear polymer characterized by densely grafted side chains on a linear backbone, offer a versatile platform for material design due to their unique thermomechanical and rheological behavior. Addressing the grand challenge of achieving structural precision for bottlebrush polymers remains crucial because traditional disperse mixtures are plagued with batch variability, limiting our ability to control their functions, and correlate theoretical predictions with experiments. To date, narrow-dispersity bottlebrush polymers remain highly heterogeneous, as they are typically synthesized from disperse linear building blocks.

To address this longstanding challenge of structural heterogeneity in brush polymers, the primary objective of …

Development Of Multifunctional Wood Composites With Integrated Phase Change Materials For Enhanced Thermal Management, Self-Healing, And Sustainability., Emmanuel Igbokwe

LSU Master's Theses

Abstract

This study focused on incorporating self-healing, flame retardancy, and energy harvesting capabilities into the wood composite to contribute to more sustainable and energy-efficient building practices. Oriented strand board has been widely used as sheath for roofing or dry walls in residential buildings. Residential buildings account for a large portion of energy consumption. Therefore, an oriented strand board with energy harvesting capability is highly desired. Additionally, flame retardancy and damage self-healing and end-of-life recycling are also critical features for buildings.

In this study, we prepared a novel oriented strand board by constructing sandwich structures. The face sheets of the sandwich …

Resource Harvesting For Parallel Functions In Serverless Workflows, Peiman Fotouhi

LSU Master's Theses

In the rapidly evolving landscape of cloud computing, serverless architectures have gained attention for their scalability and cost-effectiveness. This thesis aims to introduce a novel approach to maximize resource utilization in serverless environments through the concept of harvesting idle resources within Directed Acyclic Graph (DAG)-based workloads. Our proposed solution targets resource harvesting at parallel stages by utilizing Machine Learning models to accurately harvest or accelerate serverless functions. Additionally, we present a scheduling algorithm specifically designed to address the unique requirements of DAG workloads in cloud environments.

The framework leverages dynamic resource allocation techniques to identify and exploit idle resources within …

Performance Analysis Of C++ Parallel Algorithms In Hpx, Srinivas Yadav Singanaboina

LSU Master's Theses

The exponential growth in computational power and the increasing demand for high-performance applications have driven the need for greater parallel efficiency. Over the years, the number of cores in consumer-level CPUs and high-performance computing (HPC) systems has grown significantly. In response, numerous parallel programming li- braries have been developed. Each of these libraries offers unique mechanisms to enhance parallel performance. In this paper, we investigate the performance of five such paral- lel programming backends: C++ std::execution::par, OpenMP, TBB, Taskflow, and HPX. We evaluate these libraries using two sets of benchmarks. The first set focuses on standard C++ STL algorithms, including …

Evaluating Laser Tracking For The Improvement Of Quality Control Methods Of Precast Concrete, Blake A. Barbay

LSU Master's Theses

Current quality control (QC) methods of precast concrete are outdated and present challenges of human error and lengthy inspections. Current research into modernizing QC practices revolves around the implementation of laser scanners, with less focus on the possibility of using laser trackers. The aim of this study is to evaluate the implementation of laser trackers into the QC process of precast concrete by comparing time, accuracy, and cost to the traditional method of using a tape measure. The time studies and accuracy tests were performed in the pre- and post-pour of the precast concrete process at a precast concrete plant …

An In-Situ Method For Quantifying Entropy Generation In Fatigue Via A Novel Thermographic Approach, Peyton J. Wilson

LSU Master's Theses

This work features a new approach that is used to measure the rate of plastic work during a cyclic fatigue test, based on the first and second laws of thermodynamics. Using the one-dimensional Fourier heat equation coupled with the concept of fracture fatigue entropy, the rate of plastic work during fatigue can be measured without the need to interrupt a fatigue test, and the accumulated entropy to failure can be quantified. Experimental fatigue tests are conducted on Aluminum 6061-T6 specimens under cyclic axial loading and Carbon Steel 1018 specimens under fully reversed cyclic bending loading. The obtained results in addition …

Multiscale & Multiphysics Model Of Damage In Lithium-Ion Batteries, Edris Akbari

LSU Doctoral Dissertations

The demand for safer and more reliable lithium-ion batteries (LIBs) in electric vehicles has increased significantly, especially in addressing mechanical failures like internal short circuits (ISCs), which can lead to thermal runaway. This research investigates the mechanical behavior and damage mechanisms in lithium-ion pouch cells through a multiscale and multiphysics approach, focusing on Lithium Nickel Manganese Cobalt Oxide (NMC) and Lithium Iron Phosphate (LFP) batteries.

The study involved quasi-static and dynamic mechanical tests, including indentation and high-speed penetration, to evaluate stress-strain responses and fracture behaviors. Anisotropic mechanical properties were measured for individual battery components (anode, cathode, separator, and shell) using …

Advancing Data-Driven Disaster Debris Characterization And Quantification, Jasmine Bekkaye

LSU Doctoral Dissertations

Natural hazards generate tremendous amounts of debris that negatively impact communities and overwhelm waste management infrastructure. The challenge in disaster debris planning and management stems from inconsistent and scarce post-disaster debris quantity data due to the chaotic nature of recovery operations. This leads to a limited understanding of key factors influencing disaster debris generation across hazards and regions, hindering the accuracy and efficiency of modeling. With the increasing availability of comprehensive post-disaster waste datasets, the capacity to understand debris generation is expanding. This dissertation aims to fill knowledge gaps on disaster debris generation as follows: (1) investigate existing technologies for …

Detecting Sand Ingress And Migration Using Fiber Optic Distributed Acoustic Sensing Technology And Computational Fluid Dynamics During Oil And Gas Production, Rishikesh Shetty

LSU Doctoral Dissertations

Sand production in oil and gas operations presents significant challenges, leading to equipment damage, reduced production efficiency, and costly well interventions. Conventional sand detection techniques, primarily surface-based acoustic sensors, fail to provide real-time insights into sand ingress and migration within the wellbore. This dissertation explores the use of distributed fiber optic sensing technology for monitoring sand transport in pipelines and wellbores.

This research is divided into two experimental phases: a surface flow loop and a wellbore setup. The surface flow loop experiment involves a 40-ft-long, 2-in. diameter PVC pipe to simulate sand transport in horizontal pipelines. Sand slurry, with varying …

Sources And Transport Of Dissolved Organic Carbon In Barataria Basin, Louisiana, Mukseet Mahmood

LSU Master's Theses

The fate of soil organic carbon loss from eroding coastal wetlands is of great importance, given its potential impact on atmospheric CO2 concentration. A large fraction of this soil organic carbon upon coastal erosion is released as dissolved organic and inorganic carbon (DOC and DIC) to adjacent water bodies.

In this study, we investigate the seasonal distribution and transport of DOC and DIC in Barataria basin in Louisiana, USA, bordering northern Gulf of Mexico. This region is currently undergoing one of the highest land-loss in the USA. Seasonal measurements of DOC, DIC and colored dissolved organic matter (CDOM) were carried …

Creating A Wholistic Manufacturing Score To Highlight The Effects Of Hidden Inefficiencies In Automated Manufacturing Caused By Soft Dedication And Preventative Maintenance Failures, Oded Tal

LSU Doctoral Dissertations

The semiconductor industry is one of the most advanced manufacturing sectors, operating at an unparalleled scale and complexity. A new manufacturing facility costs between $500 million and $15 billion, and the industry's investment in automation is unmatched. However, the intricate and cyclical nature of semiconductor manufacturing creates very complex manufacturing facilities where the boundaries between planning and real-time operations often blur.

For the industry to keep improving, there is a need to create a new method that allows comparison among different manufacturing environments to uncover hidden losses that may be obscured by automation.

To better understand these hidden losses, the …

Analysis Of Traffic Operation And Safety At Cloverleaf And Diamond Interchanges With And Without Connected And Autonomous Vehicles, Nischal Khadka

LSU Master's Theses

Even though diamond and cloverleaf interchanges are commonly used in road networks, comparative studies on their operational safety and efficiency remain limited. Also, previous studies have explored the impact of Connected and Autonomous Vehicles (CAVs) at diamond interchanges, but the effects on cloverleaf interchanges are not yet thoroughly investigated. This study addresses these gaps by evaluating the traffic operation and safety performance of cloverleaf interchanges compared to diamond interchanges. It also assesses the influence of various Market Penetration Rates (MPRs) of CAVs on travel time, queue lengths, and conflict points at cloverleaf interchanges, considering different weaving lengths.

Data on peak-hour …

A Coarse-Grained Molecular Dynamics Study Of Gas Hydrate Formation And Dissociation, Meisam Adibifard

LSU Doctoral Dissertations

The study of gas hydrates has increased significantly over the last two decades because of their potential application in energy storage, production and transportation, water desalination, refrigeration, gas separation, etc. There is a significant interest in commercially developing natural gas hydrates because the energy content of methane hydrate reservoirs (MHRs) is at least twice that of all conventional fossil fuels combined. Additionally, due to the higher storage capacity of hydrates, it is proposed to sequester CO₂ in the form of CO₂ hydrate, thereby reducing the amount of greenhouse gases. Hence, hydrates offer a dual solution to two of …

Engineering Electronic Properties Of Random Alloys For Catalytic Applications, Andrew N. Okafor

LSU Doctoral Dissertations

Engineering catalytic materials is a key endeavor in the catalysis science to improve the catalytic activity of existing catalysts for specific applications and reduce the dependence on rare metals and minerals. While alloying, or mixing of metals, has been extensively studied, the focus has conventionally been placed on intermetallic phases or nanostructures such as core-shell particles, which are conceptually described by simple lattice models. This research focuses on understanding the catalytic properties of structurally ordered but compositionally disordered (or random) alloys, which have remained under-explored due to complexity at the atomic scale. Existing research focuses on synthesizing multicomponent alloys and …

Catalytic Upcycling Of Waste Plastics By Induction Heating, Bernard Whajah

LSU Doctoral Dissertations

The development of plastics over the past half century has led to rapid technological advances; however, the long-term negative environmental impacts of these materials compel new depolymerization and upcycling strategies. Plastics are indispensable due to their unique physical and chemical properties and affordability, leading to a significant increase in production rates. However, their recycling rates lag far behind their production rates. Polyolefins like LDPE and HDPE, which are common plastics, decompose very slowly in the environment. Converting these plastics into useful products often requires high-temperature pyrolysis, resulting in undesired distributions of products.

To address this challenge, this study focuses on …

Development Of Cyclic Scb Test For Evaluating Fatigue Cracking Resistance Of Asphalt Mixture At Intermediate Temperature, Ye Ma

LSU Doctoral Dissertations

Asphalt pavements are subjected to premature cracking due to traffic loading and environmental effects. The Semi-Circular Bending (SCB) test has been traditionally conducted in a monotonic, displacement-controlled mode at intermediate temperature to assess the fatigue crack resistance of asphalt mixtures. However, fatigue damage is essentially deterioration in material integrity as a result of repeated loading. This study aims to develop a cyclic SCB test to characterize the fatigue cracking properties of asphalt mixture utilizing Paris’ Law model. A secondary goal is to apply the Paris’ Law coefficients measured from the developed cyclic SCB test in predicting the fatigue life of …

Development Of Satellite-Assisted Forecasting System For Vibrio Vulnificus Prevalence In Coastal Waters, Saber Aradpour

LSU Doctoral Dissertations

Vibrio vulnificus is a halophilic gamma proteobacterium that is autochthonous to coastal waters and is responsible for 50% of seafood-related deaths in the United States. This study presents a series of nowcasting and forecasting models for predicting vibrio vulnificus abundance in oysters by identifying the long-range dependence of vibrio vulnificus abundance on antecedent environmental conditions and detecting the environmental conditions using satellite remote sensing technology. It was discovered that vibrio vulnificus abundance exhibits a long-range dependence on antecedent environmental conditions which can be characterized by seven independent environmental predictors (stressors) including sea surface temperature (SST), water level (WL), sea surface …

Reality Capture Technologies For Continuous Inline Quality Monitoring In Construction 3d Printing, Michael J. Martin Ii

LSU Master's Theses

Extrusion-based construction 3D printing (C3DP) is an innovative and emerging technology aiming at the modernization of the construction industry. It uses robots and computer control to reduce the need for human labor and to decrease construction time and cost. C3DP creates elements layer by layer without using formworks, and it is critical to detect layer defects and deformations to ensure that each layer is printed with the desired dimensions. These defects can lead to a variety of issues during or after the construction process, including the collapse of freshly printed elements. In order to detect such deformations and to enable …

Evaluation Of Dotd’S Aggregate Sources Friction Using Laboratory And Accelerated Testing, Sudhir Bharati

LSU Master's Theses

Roadway safety is of utmost importance to the state transportation agencies. One of the major factors of roadway safety that agencies have control over is pavement friction which is affected by aggregate and mixture type. The Louisiana Department of Transportation and Development (DOTD) currently uses Polished Stone Values (PSV) obtained from the British Pendulum Device to rate its aggregates. These ratings determine the applicability of aggregates for various projects. However, the ratings are inconsistent, posing significant safety and financial risks. The first part of the thesis compares the currently adopted British Wheel Polisher-based Standard Practice for the Accelerated Polishing of …

Performance Assessment Of Aboveground Storage Tanks During Flood Events, Md Manik Mia

LSU Doctoral Dissertations

This research addressed the performance of aboveground storage tanks (ASTs) and connected pipelines during floods. ASTs, integral to the oil and gas industry, store hazardous materials like crude oil and chemicals. Positioned near coastal regions, especially the hurricane-prone Gulf Coast, these areas are vulnerable to natural hazards such as floods and hurricanes. This vulnerability can lead to potential environmental and economic disasters, as seen with past hurricanes.
The primary objectives were to investigate AST bottom plate failure mechanisms under flood conditions, assess material failure in tank shells and bottom plates using finite element models, examine the behavior of connected pipelines, …

Hurricane Vulnerability Of Above Ground Storage Tanks, Santosh Ghimire

LSU Master's Theses

The objectives of this research were to: 1) develop an approach to determine the effectiveness of regional storm surge reduction strategies and structural mitigation measures for aboveground storage tanks (ASTs), and 2) study the feasibility of controlled flotation of ASTs during flood and storm surge events. This study provided a comprehensive risk assessment strategy for regional portfolio of tanks, considering all dominant failure modes relevant to future planning initiatives aimed at reducing AST failures. Additionally, this research contributed a new methodology to prevent AST failures during flooding, offering a potential solution to prevent hazardous spills.

Design guidelines such as API …

Development And Operationalizing Of The Learning Experience Design Process To Create Integrated Stem Interventions, Vanessa Begat

LSU Doctoral Dissertations

Globally, the demand for people prepared to enter Science, Technology, Engineering and Math (STEM) careers is increasing. To help fill this demand, many formal and informal STEM educational interventions have been implemented in the K-12 domain. However, due to the lack of a clearly defined framework for documenting the nature and scope of the intervention (National Research Council, 2014), the interventions vary greatly in their success, sustainability, and replicability. This research is grounded in Educational Design Research and uses the principle of Learning Experience Design (LXD) to develop a framework for thoughtfully designing and documenting a STEM intervention. This framework …

Assessing Team Performance And Cohesion Of Isolated Multicultural Teams Using Digital Escape Rooms, Susannah J. Aronson

LSU Doctoral Dissertations

History has shown that when multicultural teams are together for long periods of time, conflict can occur. When put in an isolated environment, these conflicts can become dangerous. This study looked at physically isolated multicultural teams through the lens of systems engineering and if a publicly available escape room video game could measure the team’s individual level team performance and cohesion. The author also evaluated the relationship between these success measures, cultural intelligence, and fusion collaboration. Results showed the escape room video game was a reliable and valid instrument to measure individual level team performance and cohesion. The validity correlation …

High-Resolution Groundwater Modeling For Understanding Sparta-Memphis Aquifer Condition, Rafin Hasan

LSU Master's Theses

The Sparta-Memphis aquifer is one of the major sources of domestic and industrial water supplies in the Mississippi Embayment region. However, besides altering the natural direction of flow, several serious complications such as elevated chloride concentration, significant water level decline, large cones of depression, and land subsidence have arisen from excessive groundwater consumption. To better understand the Sparta-Memphis aquifer condition, a high-resolution groundwater flow model for the Sparta-Memphis aquifer was developed in this study to assess groundwater availability and analyze aquifer responses to future groundwater withdrawal scenarios. For the development of the groundwater flow model, firstly about 3,700 electrical log …

Skilled Labor Shortage In Construction: Deep Dive Of Impactful Factors And Influential People Of The Decision-Making Process, Nicholas B. Hardy

LSU Doctoral Dissertations

The skilled labor shortage is well documented from a historical perspective via studies focusing on various construction trades such as carpentry, mechanical, electrical, plumbing, and tile setters. Causes of such shortages such as industry image, college as a preferred choice after high school, and construction being a last resort have been investigated extensively. Consequently, possible solutions ranging from amplifying shop classes in high school to intensifying recruiting efforts for union training programs have all been addressed throughout the last 40 years. However, recent studies have focused on identifying the magnitude and reach of the skilled labor gap while limited attention …