Engineering Commons^™

The Viability Of Styrofoam Beads In Concrete Mixtures, Colin Edward Sykes

Construction Management

This experiment revolved around the idea that an aggregate replacement in a concrete mixture could not only maintain its structural integrity but increase its sustainability as well. This idea was formulated into the experiment of embedding Styrofoam beads into concrete. The outcome of this experiment showed the compressive strength of the concrete increased the greatest with the substitution of Styrofoam beads for fine aggregate up to 20%. This 20% Styrofoam replacement mixture exhibited an 189% increase in compressive strength when compared to the control group in the third week of testing. In addition to this impressive compressive strength, the weight …

The Use Of Augmented Reality (Ar) Technology In Construction, Luke Zamlich

Construction Management

Building Information Modeling (BIM) has revolutionized construction by replacing traditional paper-based methods with advanced software, improving data management and project workflows. However, as projects become more complex, challenges like communication gaps and design errors persist, often leading to cost overruns. Augmented Reality (AR) is an emerging technology that could address some of these issues by enhancing real-time visualization and collaboration, helping avoid costly rework. Despite its potential, AR remains underutilized in the construction industry. This paper explores the feasibility of integrating AR into modern construction workflows to complement BIM models and improve on-site project management. A literature review highlights AR’s …

Operation Webs - Tiny Home On Wheels: Quantity Take-Off, Estimate, And Site Logistics, Brendan Moynahan

Construction Management

The objective of this paper is to highlight and discuss the process of performing quantity take-offs, completing an estimate, and creating a site logistics plan for the Operation WEBS (Women Empowered Build Strong) Tiny Home on Wheels project performed at the Paso Robles State Fair. This project is a part of the interdisciplinary project based senior project completed by California Polytechnic State University, San Luis Obispo, College of Architecture and Environmental Design students Brendan Moynahan and Jake Torres. Brendan Moynahan performed the deliverables covered in this paper while Jake Torres completed his own deliverables for another paper. Our individual responsibilities …

Building Safely: How Spanish Specific Safety Can Impact Job Sites, Luis D. Aguilar Montano

Construction Management

This project explores how Spanish Specific Safety Training is being approached in the construction industry, with an attempt to identify some possible issues associated with language barriers and accessibility to these trainings. This research involved data collection through thirty analytical surveys, in addition to conducting three semi-structured interviews with construction workers and supervisors. The focus of the data collection was to gain insights into several key areas, including training accessibility, workplace injuries, language barriers, and worker comfort. The survey results indicated strong support for Spanish-language safety training, with respondents recognizing its potential to improve safety and overall worker comfort. Many …

A Comparison Of Mass Timber Perceptions Among Construction Professionals Over Time, Josh A. Higginson

Construction Management

Mass timber is a relatively new construction building material consisting of large-scale engineered wood products such as cross-laminated timber (CLT) and glue-laminated timber (glulam). It is gaining attention as a sustainable alternative to traditional steel and concrete, offering benefits such as reduced carbon emissions and enhanced aesthetic appeal. Despite being used on notable projects recently, it is not yet widely accepted by the industry as a whole. This study investigates the evolving awareness, benefits, and challenges associated with mass timber construction among U.S. construction professionals. Through a survey of over 100 construction practitioners, primarily from Cal Poly’s Construction Management Advisory …

Caed Shop Entrance Wall Redesign, Theodore Haoran Khuong, Joelle Schalesky, Ellen Elizabeth Untalan, Katherine Evalyn Timbes

Construction Management

This paper details the preconstruction process involving the replacement and redesign of the north wall at the CAED Support Shop at Cal Poly, San Luis Obispo. Accomplished by an interdisciplinary team of Architectural Engineering and Construction Management students, this project explores the requirements and procedures of generating a project proposal to submit to Cal Poly Facilities Management. The project, initiated in the fall of 2024, aimed to redesign the wall aligned with the adjacent Engineering West building and replace it with a CMU low lift grouted wall. The CAED Support Shop is offered as a resource to all CAED students …

Lab Exercise For Cm 114: Static Bending Of Timber And Its Alternatives, Samuel E. Arreola

Construction Management

This lab exercise investigates the static bending behavior of various structural materials. In this lab, the primary objective is to evaluate and compare the stress, strain, and deflection of 2” x 10” lumber, TJI joists, LVL beams, and steel studs under controlled loading conditions. This lab will require the calculation of cross-sectional properties, applying incremental loads until failure, and recording all corresponding deflection values. Material failure was visually documented using photographs to understand structural performance under the load. By using structural engineering principles and the formulas for stress and strain, the completion of this lab exercise provides a comprehensive analysis …

Training-Informed Air Traffic Control Workforce Scheduling, Eli Winett

Theses and Dissertations

The Radar Control Facility (RCF) at Eglin Air Force Base creates monthly workforce schedules. Adherence to regulations must be verified manually and no evaluation criteria exist to compare schedules. A mixed-integer program model for air traffic controllers allocates workers across 19 positions for a user-defined number of weeks of 24-hour operations. Across eight consecutive months, this model produced schedules to nearly eliminate all shifts with critical shortages from the reference schedules. Without civilian overtime work, gains in positional coverage require a 35% increase in overtime work for military workers and 35% reduction in monthly training instances. We recommend users adopt …

Dual-Channel Side Channel Attack: Improved Aes Key Decryption By Combining Power And Electromagnetic Side Channels With Convolutional Neural Networks, Sean P. O'Neill

Theses and Dissertations

This research introduces a novel DL approach for SCA that combines power consumption and EM signals to enhance encryption key deduction by leveraging a dual-channel CNN architecture. A new dataset, consisting of simultaneous power and EM signal collections during 128-bitAES encryption, was developed to train and evaluate the model’s effectiveness. The combined approach achieved an 88% reduction in traces needed, from 50 traces to 6, for encryption key classification, outperforming traditional methods such as random forest, DPA, DEMA,and individual side channel CNN models. These findings highlight the potential of integrating multiple side channels in SCA to improve performance without the …

Extracting Permittivity And Permeability Using The Position-Insensitive And Calibration-Independent Method On A Rectangular Waveguide, James Conrad Denemark

Theses and Dissertations

Classic methods for extracting material characteristics require known measurements to accurately calibrate the network analyzer. Previous work demonstrated a position-insensitive and calibration-independent (PiCi) transmission/reflection method to extract a material’s permittivity. This thesis proposes a method with the same function, manipulated to use one empty measurement and then two samples of different thicknesses. The PiCi method is first adopted for rectangular waveguide which resulted in inaccurate permittivity data when compared to the calibrated solution. Once detector mismatch corrections were applied, the PiCi method produced accurate results. Using a 2-D numerical root search, permittivity and permeability material characteristics are now successfully extracted …

Effect Of Roadway Lighting On Safety In Utah, Samuel Lewis Runyan

Theses and Dissertations

A significant portion of severe crashes and severe crashes involving vulnerable road users, 29 percent and 39 percent respectively, occur at night in Utah, despite roughly only 25 percent of traffic occurring at night. Nighttime crash causes are less understood than daytime crashes as there are fewer nighttime crashes, but it is generally assumed that increasing street lighting can help mitigate these crashes. To test this assumption, the Utah Department of Transportation was interested in developing Crash Modification Factors (CMFs) specific to the state of Utah which correlate the quantity and quality of light to crash outcomes, to observe how …

Identifying Redundant Audio Content Over Cloud Environment Using Deduplication Techniques, Venkatesh K

Theses and Dissertations

Cloud computing has become an integral part of modern internet-based services, with users relying heavily on cloud environments as primary storage solutions. However, the exponential growth in data volume presents a challenge (i.e) the proliferation of duplicated content within cloud repositories. Deduplication techniques provide a promising approach to mitigate this issue. This research focuses on detecting redundant audio content within a cloud environment, specifically targeting the sharing of extensive audio files, such as those in Waveform Audio File Format (WAV). The study proposes the Refined Super Subset Identification Algorithm (RSSIA) to efficiently identify redundant content and segments within existing audio …

Evaluating The Multi-Valued Bartlett Processor, Daniel Robert Frister

Dissertations and Theses

A variety of approaches exist to track targets in the ocean using acoustic sensors, and the complex mix of source characteristics, environmental effects, and sensor array limitations can make the selection of an appropriate algorithm challenging. This thesis models in simulation a recently proposed signal processing method that is intended for use with a large rectangular sensor array to track the bearings of multiple sources. The method, referred to as the Multi-Valued Bartlett (MVB) processor, is an eigenvector beamformer that leverages the capabilities of large arrays to locate in bearing multiple sources simultaneously. The analysis of this thesis details the …

Aircraft Control, Collision Avoidance, And Remote Autonomy In Scenarios With Ground Radar Information, Jaron Charles Ellingson

Theses and Dissertations

Unmanned aircraft systems (UAS) have become integral to various modern applications, including package delivery, security, medicine, and recreation. The autonomous operation of UAS significantly enhances their utility by improving performance and reducing operator workload, enabling collaborative missions such as boundary detection, border protection, and target tracking. To ensure safe integration of UAS, more work needs to be done in the areas of control, estimation, collision avoidance, path planning, hardware implementation, and autonomous practices in general. For this dissertation we chose to focus on the critical areas of control, collision avoidance, and remote autonomy. Our research is motivated by the need …

Data-Driven Quality Improvement For Sustainability In Automotive Packaging Systems, Tyler Mcknight

Morehead State Theses and Dissertations

A thesis presented to the faculty of the College of Science and Engineering at Morehead State University in partial fulfillment of the requirements for the Degree Master of Science by Tyler McKnight on November 25, 2024.

Cultivating Coastal Communities: An Exploration Of Synergies And Tradeoffs To The Colocation Of Stormwater Ponds And Urban Agriculture In Tampa Bay, Estenia Ortiz

USF Tampa Graduate Theses and Dissertations

Cultivating resilience in coastal communities such as Tampa Bay is becoming increasingly important as urbanization continues to fuel complex environmental and social challenges further exacerbated by sea level rise, habitat degradation, and more intense storm events. Food and water systems are particularly vulnerable under these circumstances, jeopardizing residents’ quality of life. This research explored the nexus of stormwater detention ponds and urban agriculture, namely community and residential gardens, this research reveals factors to consider in the colocation of these systems to build local community resilience and protect waterways.

Focusing on East Tampa, a historic Black community in Florida, and the …

Characterizing West Florida Shelf Reef Fish Communities Using A Scientific Echosounder, Edmund A. Hughes

USF Tampa Graduate Theses and Dissertations

The advancement and application of non-invasive fisheries survey technologies, such as the scientific echosounder, have significantly enhanced our understanding of fish populations and their habitats, more recently in regions where traditional sampling methods are limited, such as complex reef habitats. This research, conducted as part of the Continental Shelf Characterization, Assessment, and Mapping Project (C-SCAMP) on the West Florida Shelf, leverages acoustic and visual technologies to investigate the distribution of fish densities, fish target strength and length relationships, and the relationship between seafloor topography and fish biomass distribution.

The first study compared reef fish densities estimated from near-concurrent acoustic (Simrad …

Designing Customized Loss Functions For Training Deep Neural Networks, Ali Pourramezan Fard

Electronic Theses and Dissertations

This dissertation explores the critical role of loss functions in enhancing the predictive performance of deep machine learning models. Loss functions are an integral element of all the ongoing advances we witness daily in this domain. I design custom loss functions and their impacts on various machine learning tasks, particularly in computer vision.

In the first stage of my research, I aim to improve the prediction performance of deep learning models by providing them with more precise feedback associated with task requirements. This led me to create the concept of assistive loss functions. My first proposed loss function, inspired by …

The Impact Of Cumulative And Acute Loading On Achilles Tendon Health, Performance, And Reported Pain In Collegiate Gymnasts, Julio Serrano Samayoa

Electronic Theses and Dissertations

Gymnasts are at a high risk of Achilles tendon (AT) injuries due to intense loads during takeoffs and landings. To better understand better the relationship between impact loading and its effects on tendon adaptation and athletic performance, this study uses Inertial Measurement Units (IMUs) to track AT loading across a collegiate gymnastics season. This data were compared against physiological and athletic performance metrics, obtained through force plates and ultrasound imaging, to explore how mechanical load influences reported pain and athletic performance. Results varied, with cumulative impacts being correlated with improved jump height (Spearman 0.362, Pearson 0.348), while peak power and …

Model-Based Navigation And Control Of Multirotor Uavs: A Machine Learning Approach, Serhat Sönmez

Electronic Theses and Dissertations

In recent decades, unmanned systems, particularly Unmanned Aerial Vehicles (UAVs), have seen significant advancement and unprecedented growth in military, civilian and public domain applications. Scientists have focused on enhancing UAV navigation and control through cutting-edge technologies and support tools. UAVs find applications in many fields, except military, such as agriculture, infrastructure inspection, wildlife monitoring, search and rescue, emergency response, border protection, to name but a few relevant civilian applications. Given the faster-than-exponential increase of available computational power, learning-based algorithms have emerged as a prominent tool for (real-time) multirotor UAV navigation and control. This dissertation centers around the fusion of conventional …

Implementing The Safe System Approach At Intersections In Utah, Ian Patrick Macgregor

Theses and Dissertations

This thesis investigates the principles and elements of the Safe System Approach, a new paradigm in roadway safety. A compendium of practice was created to determine recommendations on how to implement the Safe System Approach at intersections and observe how other jurisdictions are implementing it. Several strategies identified include the Safe Systems at Intersections (SSI) methodology, Safe System Alignment Frameworks, Vision Zero communities, incorporating the Safe System Approach into the Strategic Highway Safety Plan (SHSP) or Highway Safety Improvement Program (HSIP), mandating the Safe System Approach be considered in all projects, and the Organizational Safety Culture Self-Assessment. These policies do …

Computational Study Of The Evolution Of The Grain Boundary Network During Anisotropic Grain Growth, Jose Nino

Theses and Dissertations

The grain boundary network (GBN) of polycrystalline materials changes during grain growth, affecting the material's properties. This research presents the results of fully anisotropic grain growth simulations. We perform simulations using three GB energy functions: an energy function that considers a GB's 5 degrees of freedom, the Read-Shockley model, and isotropic. We analyze the impact of these energy functions on the morphological evolution and various microstructural statistics, such as crystallographic texture and triple junction distribution. The results demonstrate that while individual grain evolution varies with GB energy function, certain microstructural statistics reach similar steady states across different models. In addition, …

Applications Of Computer Vision In Biomechanics And Orthopaedics, William Stewart Burton Ii

Electronic Theses and Dissertations

Machine learning has emerged as a key technology for enabling advanced computer vision systems. These systems now permeate many industries, and have enhanced traditional processes through autonomous interpretation of visual data. In the field of orthopaedics, the increasing prevalence of imaging highlights a need for similar tools. In many cases, however, direct translation of available frameworks fails to resolve the complex problems currently facing this field. Stringent performance requirements, complex visual environments, data scarcity, and implications for patient safety represent domain-specific factors which pose unique challenges to proven techniques. Novel approaches are needed to realize the full benefits of visual …

An Ai-Driven Framework To Enhance The Quality And Sustainability Of Manufacturing Systems, Purvee Bhatia

USF Tampa Graduate Theses and Dissertations

Sustainability in manufacturing is emerging to be a key factor to minimize waste and enhance resource efficiency while maintaining product quality. Sustainability and quality are intertwined and have an impact on each other wherein sustainable practices for surface quality assessment play a pivotal role in waste management and process optimization. Advanced technologies such as machine learning have gained prominence in manufacturing and the availability and ubiquity of diverse data streams allows for the enhancement of manufacturing systems across metrics critical to the sectors in which they are employed such as performance and quality. However, many challenges remain in the effective …

Integrated Sustainability Analysis Of A Shared Micro-Mobility System In University Campus: Life-Cycle Assessment And User Impact Study Of Electric Scooters, Md Afif Rahman Chowdhury

LSU Master's Theses

The objective of this study is to evaluate the environmental, economic, and social impacts of implementing e-scooter technology on the LSU campus. The study is structured into three main parts: (1) an environmental life-cycle assessment of e-scooters, (2) a comparative environmental and economic impact assessment of e-scooters, cars, and campus shuttle buses, and (3) a comprehensive survey of e-scooter users to assess their characteristics, satisfaction levels, and comfort while using e-scooters on the LSU campus.

To achieve the objectives of the study, a life-cycle assessment (LCA) was conducted to assess the environmental sustainability of e-scooters, encompassing all stages from raw …

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 …

Dynamic And Harmonic Studies Of Inverter Based Resources, Rabi Shankar Kar

USF Tampa Graduate Theses and Dissertations

As the inverter-based generation is the primary technology driving renewable energy sources such as solar photovoltaic and wind turbines, its penetration is increasing rapidly. Due to the high penetration, there are multiple situations of IBR misoperation due to any type of grid contingency. This dissertation focuses on exploring the response of IBR towards grid contingency.

The primary objectives of the study are as follows: 1. Conducting a harmonic analysis of inverter-based resources when subjected to balanced and unbalanced grid conditions, 2. The use of a circuit simplification method to streamline the analysis process and study the dynamic response of IBR …

Can The Effluent From Wastewater Stabilization Ponds Be Effectively Managed For Health And Nutrient Recovery?, Michael Glass

USF Tampa Graduate Theses and Dissertations

Wastewater stabilization ponds, such as facultative and maturation lagoons, have been shown to be effective processes to manage conventional water quality parameters found in domestic wastewater. The main goal of this thesis is to explore whether wastewater stabilization ponds can simultaneously reduce pathogens to safe levels while supporting agricultural activities through nutrient recovery. A large dataset for water quality of wastewater lagoon effluent in the U.S. was obtained at the state level and combined into regional southern and northern locations. Analysis of data showed there was significant difference in lagoon effluent concentration between northern and southern states for the water …

Compliant Structures Facilitate Less Invasive And Biomechanically Improved Lumbar Spinal Implants, Daniel J. Orr

Theses and Dissertations

Implants used in lumbar spinal fusion and lumbar total disc replacement procedures have improved substantially over the years, however, the opportunity remains to improve either the adjustability, durability, motion, or minimally invasive characteristics which could aid in achieving optimal surgical outcomes. It is hypothesized that the inherent advantages of compliant mechanisms specifically Deployable Euler Spiral Connectors (DESCs) and a new mechanism known as the interior contact aided rolling element (I-CORE) are well suited for each of these applications and will be explored and utilized as the basis of these proposed designs. By addressing these challenges, the research endeavors to improve …

Understanding Contributing Factors To Injury Severity And Improper Driver Actions In Work Zone Crashes And Evaluating Smart Work Zone Applications For Safety Improvement, Rakesh Rangaswamy

USF Tampa Graduate Theses and Dissertations

A work zone can be described as a roadway designated for construction, maintenance, or other activities that temporarily disrupt the normal traffic flow. Due to this disrupts in traffic conditions, work zones may bring sudden shifts in driving experience, depending on the sort of work zone present, creating unpredictable maneuvers, and putting both motorists and workers at risk. To understand these issues, this study uses work zone accident data obtained from Florida and uses several methodological techniques, including the mixed logit model with variance and mean heterogeneity, temporal instability test, log-likelihood test, out-of-sample analysis, and ANOVA test.

Firstly, this study …