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2025

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Full-Text Articles in Civil Engineering

Structural Performance Of High-Rise Rc Buildings With Sfrc Columns And Shear Walls Subjected To Seismic Loading, Ali Azzawi Jan 2025

Structural Performance Of High-Rise Rc Buildings With Sfrc Columns And Shear Walls Subjected To Seismic Loading, Ali Azzawi

Civil Engineering Theses - Archive

To investigate the seismic performance of high-rise RC buildings with steel fiber reinforced concrete (SFRC) columns and shear walls, a detailed numerical analysis was established using RISA-3D software on twelve-story RC buildings subjected to earthquakes. The variables included in this research are steel fiber volume fraction (SFVF), number of stories with SFRC columns and shear walls, and concrete strength grade. The mechanical properties of the concrete for each mix are evaluated experimentally. Three types of concrete mix designs were performed in the Civil Engineering Laboratory Building (CELB) using different dosages of steel fibers (0, 25lb/cy, and 70lb/cy). The properties of …


Investigation Of Aluminum Hollow Shapes Subject To Torsion, Nora Frederick Jan 2025

Investigation Of Aluminum Hollow Shapes Subject To Torsion, Nora Frederick

Honors Theses

This research investigates the torsional strength of hollow aluminum shapes, specifically fairly stocky square and circular cross-sections made from 6061-T6 alloy. A total of six cross-sections were tested, with six specimens for each cross-section, resulting in 36 tests. Torque and angular deformation data were recorded for each specimen to determine the torque corresponding to full- yield of the cross-section. Additionally, Strand7 finite element models were created to simulate the experimental results and assess whether the torsional behavior could be accurately replicated through numerical analysis. This allows for future research to be conducted using Strand7 or similar finite element software.

The …


In-Plane Shear Stiffness Of Stay-In-Place Forms And Bracing Effects On The Torsional Stability Of Press-Brake-Formed Tub Girders, Ethan L. Host Jan 2025

In-Plane Shear Stiffness Of Stay-In-Place Forms And Bracing Effects On The Torsional Stability Of Press-Brake-Formed Tub Girders, Ethan L. Host

Graduate Theses, Dissertations, and Problem Reports (ETD)

Press-brake-formed tub girders have welded internal angle bracing that is believed to be necessary for torsional stability under eccentric loading. However, this bracing creates fatigue weld hotspots overtime, which are subject to cracking. This study was performed to assess the torsional behavior of the Valmont U12 press-brake-formed tub girder (PBFTG) under various configurations using finite element analysis (FEA) modeling and experimental laboratory testing. The primary objective was to (1) determine the necessity of various angle bracing throughout the beam, and the effects removing said braces has on the torsional stiffness of the girder and (2) investigate the use of stay-in-place …


Performance And Economic Evaluation Of Asphalt-Based High Friction Surface Treatment (Hfst) Applications, Alireza Roshan, Magdy Abdelrahman Jan 2025

Performance And Economic Evaluation Of Asphalt-Based High Friction Surface Treatment (Hfst) Applications, Alireza Roshan, Magdy Abdelrahman

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

High Friction Surface Treatments (HFSTs) are recognized for enhancing friction between tires and road surfaces, with reduced road accidents being a key benefit. Epoxy-based HFSTs, though widely used, come with challenges like compatibility issues with existing pavements, higher installation and removal costs, and reduced durability tied to substrate quality. Recently, state agencies have increasingly focused on developing asphalt-based alternative binders for HFST applications as highlighted in the National Cooperative Highway Research Program (NCHRP) RFP #NCHRP 10-145. This study introduces asphalt-based HFSTs as an alternative to traditional epoxy-based treatments. Various aggregate types were examined for friction performance and the effect of …


Mitigation Of Antibiotic Resistance Using Ultraviolet Light-Emitting Diodes For Water Treatment, Nicole Heyniger, Patrick J. Mcnamara, Anthony D. Kappell, Brandon Schultz, Troy Skwor, Brooke K. Mayer Jan 2025

Mitigation Of Antibiotic Resistance Using Ultraviolet Light-Emitting Diodes For Water Treatment, Nicole Heyniger, Patrick J. Mcnamara, Anthony D. Kappell, Brandon Schultz, Troy Skwor, Brooke K. Mayer

Civil and Environmental Engineering Faculty Research and Publications

The presence of antibiotic-resistant bacteria (ARB) and antibiotic resistance genes (ARGs) in the environment is a growing issue, which has been exacerbated by the overuse and misuse of antibiotics in health care and agricultural systems. One means of mitigating antibiotic resistance is through drinking water and wastewater treatment, specifically during disinfection processes. Ultraviolet light-emitting diodes (UV-LEDs) are an emerging disinfection technology featuring adjustable peak wavelength emissions. We assessed the use of UV-LED for treating waterborne ARB (Escherichia coli and Aeromonas hydrophila) and ARGs (intracellular and extracellular) compared to conventional low-pressure UV (LP-UV). Overall, less efficient reduction (bacterial inactivation and/or gene …


Quantifying Subsurface Pavement Temperatures Subject To Future Climates And Implications For Pavement Resilience, Austin Michael Jarrell Jan 2025

Quantifying Subsurface Pavement Temperatures Subject To Future Climates And Implications For Pavement Resilience, Austin Michael Jarrell

Graduate Theses, Dissertations, and Problem Reports (ETD)

Assessment of anthropogenic climate change impacts in pavement design and analysis remains limited within engineering practice, despite growing recognition of the need for climate-resilient roadway infrastructure. Research efforts have increasingly focused on integrating future climate projections into mechanistic-empirical pavement design, which represents the leading edge of the state of practice. However, a lack of consensus persists regarding the optimal methods for incorporating climate projections, particularly in the selection of downscaling techniques and global climate models (GCMs) to ensure accuracy and applicability for pavement performance analysis. This research investigates the impact of statistical downscaling methodologies and GCM selection routines on subsurface …


Framework To Guide The Review And Update Of Wvdoh Schedule Review Practices And Specifications, Myles Joshua Avery Jan 2025

Framework To Guide The Review And Update Of Wvdoh Schedule Review Practices And Specifications, Myles Joshua Avery

Graduate Theses, Dissertations, and Problem Reports (ETD)

Roadway and bridge construction projects are often complex, necessitating high quality schedules to ensure the work is completed on time and within budget. The West Virginia Division of Highways (WVDOH) utilizes scheduling procedures and policies outlined within the Prosecution and Progress section of its Standard Specifications for Roads and Bridges to ensure timely and cost-effective project deliveries. Recently, concern has risen that the existing language within this section is outdated and fails to cater to modern scheduling techniques, technologies, and industry practices. In turn, WVDOH personnel question whether schedules that follow the existing specifications align with the complexities, types, values, …


The Impact Of Skew On The Flexural Behavior Of Press-Brake-Formed Tub Girders, Matthew Allan Weatherholt Jan 2025

The Impact Of Skew On The Flexural Behavior Of Press-Brake-Formed Tub Girders, Matthew Allan Weatherholt

Graduate Theses, Dissertations, and Problem Reports (ETD)

The Short Span Steel Bridge Alliance (SSSBA) is a group of bridge and buried soil steel structure industry leaders who have joined together to provide educational information on the design and construction of short span steel bridges in installations up to 140 feet in length. Press-brake-formed-tub-girders (PBFTGs) were developed by a technical working group within the SSSBA in response to a rising demand for rapid infrastructure replacements for short span bridge applications. PBFTGs are produced from structural steel plate and can be finished as weathering steel or galvanized. After being cold bent to the appropriate shape, shear studs are welded …


A Durability Evaluation Of Class B Concrete Bridge Substructures Under West Virginia Freeze–Thaw Conditions, Nathaniel Wayne Dunbar Jan 2025

A Durability Evaluation Of Class B Concrete Bridge Substructures Under West Virginia Freeze–Thaw Conditions, Nathaniel Wayne Dunbar

Graduate Theses, Dissertations, and Problem Reports (ETD)

This study evaluates whether the West Virginia Division of Highways (WVDOH) Class B concrete specification for bridge substructures remains adequate under modern durability and design-life expectations. The current specification, which permits a minimum compressive strength of 3,000 psi, reflects practices established when shorter service lives were generally assumed. Modern AASHTO LRFD provisions are based on a 75-year design life, raising concern that this lower-strength concrete may not provide sufficient durability under West Virginia’s climatic conditions.

To address this issue, bridge inspection data, regional climate mapping, and durability modeling were used to assess the condition and performance of concrete substructures across …


Software Literacy In Construction, Aidan Cazares Jan 2025

Software Literacy In Construction, Aidan Cazares

Williams Honors College, Honors Research Projects

The construction industry increasingly relies on software like Bluebeam Revu for their quantity takeoff, document management, and collaboration needs. This project will outline pertinent information obtained through their Bluebeam professional training program and reflect it with a detailed estimate of a real life construct project.


Structural Analysis And Design Methodologies Of Roller Coasters, Benjamin Komar Jan 2025

Structural Analysis And Design Methodologies Of Roller Coasters, Benjamin Komar

Williams Honors College, Honors Research Projects

This project explores the structural analysis behind the design of roller coaster tracks and supports as practiced by modern engineers. It also examines various roller coaster design methods currently in use. This research will be used to craft a detailed explanation of the roller coaster design process. Additionally, a 3D model of a roller coaster was developed based on the researched design procedures, featuring three track sections with different loading conditions to create a supporting structure for 2D truss analysis. The results of the truss analysis were then compared to those obtained using RISA-3D, a finite element structural design software.


Experimental And Simulation Of Compression After Impact (Cai) Tests For Thermoplastic Composite Materials, M. M. Shahzamanian, Sydney Houck, Li Ai, Md Mushfiqur Rahman Fahim, Sourav Banerjee, Wout De Backer, Paul Ziehl Jan 2025

Experimental And Simulation Of Compression After Impact (Cai) Tests For Thermoplastic Composite Materials, M. M. Shahzamanian, Sydney Houck, Li Ai, Md Mushfiqur Rahman Fahim, Sourav Banerjee, Wout De Backer, Paul Ziehl

Civil Engineering Faculty Publications

Damage caused by low velocity impacts in composite materials may go undetected, resulting in significant damage being unnoticeable. This phenomenon has been studied using experiments and simulations on a typical composite material, Toray T1225 LM-PAEK UD Tape, following impacts with varying energy levels. To the authors’ knowledge, there is a lack of information on thermoplastics and compression after impact (CAI) in the publicly available literature, and there have been insufficient results and discussions regarding CAI tests on thermoplastic composite materials at the relatively high levels of impact used, especially with the rise in the use of thermoplastic materials for the …


Drone-Based Multimodal Sensing On Vegetations And Data Analytics For Early Detection Of Gas Leakage From Underground Pipelines, Pengfei Ma Jan 2025

Drone-Based Multimodal Sensing On Vegetations And Data Analytics For Early Detection Of Gas Leakage From Underground Pipelines, Pengfei Ma

Doctoral Dissertations

"This study explored the feasibility of using multimodal remote sensors in the early detection of natural gas leaks from underground pipelines, as vegetation situated above pipelines can discern microbial changes in soil when affected by gas and exhibit physiological stress symptoms on leaves. Three sensors (RBG, thermal, and hyperspectral cameras) were utilized to monitor vegetation stress as an indicator of gas leaks. A laboratory experiment was conducted to evaluate the workability of vegetation for gas leak detection. Regular hyperspectral imagery was collected from test vegetations to identify gas stress and distinguish it from other environmental stressors such as salinity impact, …


Flexural Post-Cracking Performance Of Macro Synthetic Fiber Reinforced Super Workable Concrete Influenced By Shrinkage-Reducing Admixture, Jingjie Wei, Nima Farzadnia, Kamal H. Khayat Jan 2025

Flexural Post-Cracking Performance Of Macro Synthetic Fiber Reinforced Super Workable Concrete Influenced By Shrinkage-Reducing Admixture, Jingjie Wei, Nima Farzadnia, Kamal H. Khayat

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Most literature has focused on the effect of shrinkage-reducing admixture (SRA) in shrinkage mitigation resistance of concrete. This study aims to examine the impact of SRA on the efficiency of macro synthetic fibers (MSF) in enhancing the flexural post-cracking behavior of fiber-reinforced super workable concrete (FR-SWC). A comparative analysis of the influence of fiber combinations on the flexural post-cracking behavior of beams is also included. Results showed that a higher dosage of SRA, particularly at 5 % by mass of binder, had a noticeable negative impact on flexural post-cracking performance of beams while exhibiting positive effect on workability and shrinkage …


Class-Wise Histogram Matching-Based Domain Adaptation In Deep Learning-Based Bridge Element Segmentation, Tarutal Ghosh Mondal, Zhenhua Shi, Haibin Zhang, Genda Chen Jan 2025

Class-Wise Histogram Matching-Based Domain Adaptation In Deep Learning-Based Bridge Element Segmentation, Tarutal Ghosh Mondal, Zhenhua Shi, Haibin Zhang, Genda Chen

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

This study focused on the problem of domain shift in deep learning-based bridge element segmentation. The impracticability of accounting for all possible variabilities vis-à-vis structural shape, size, color, texture, illumination, and other operational conditions in the training process leads to the deterioration in the model performance when applied to test data from novel unseen domains. In such situations, rebuilding the model with labeled training data from the target domain becomes prohibitively expensive and time-consuming in many practical cases. Recent advancements in unsupervised domain adaptation techniques are known to provide viable solutions to this problem. However, it was observed in this …


Effect Of Gluconate Molecules On The Reaction Kinetics Of C-(N)-A-S-H And N-A-S-H Gel Formation, Jiafeng Kong, Chao Sun, Zuhua Zhang, Chenglong Cai, Yubin Cao, Yanru Wang, Hongyan Ma, Xuesen Zeng, Hao Wang Jan 2025

Effect Of Gluconate Molecules On The Reaction Kinetics Of C-(N)-A-S-H And N-A-S-H Gel Formation, Jiafeng Kong, Chao Sun, Zuhua Zhang, Chenglong Cai, Yubin Cao, Yanru Wang, Hongyan Ma, Xuesen Zeng, Hao Wang

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Organic ligands are widely used to regulate setting in cementitious binders, yet their chemistry-selective action in geopolymers (GPs) remains unclear. Here we isolate the role of sodium gluconate (SG) in early reaction kinetics across a Ca-rich GP that forms a calcium-(sodium)-aluminosilicate hydrate (C-(N)-A-S-H) gel and a Ca-poor GP that forms a sodium-aluminosilicate hydrate (N-A-S-H) gel. Four GPs spanning Ca/Si ≈ 1.01 to 0.01 were prepared with identical activator chemistry and dosages of SG up to 5 wt.% of precursors. Setting time, isothermal calorimetry, pore-solution speciation (TOC, ICP-OES, and pH), selective dissolution (reaction extent), low-field1H NMR, XRD, FTIR, SEM-EDS, …


Influence Of Deck Area And Average Daily Traffic On The Deterioration Of Bridge Superstructures., Faysal Ahamed Jan 2025

Influence Of Deck Area And Average Daily Traffic On The Deterioration Of Bridge Superstructures., Faysal Ahamed

Graduate Theses, Dissertations, and Problem Reports (ETD)

State Departments of Transportation (DOTs) are responsible for maintaining approximately 623,000 bridges across the United States. Effective bridge management requires a comprehensive understanding of the factors influencing structural deterioration. Numerous studies have explored the effects of average daily traffic (ADT) and deck area (DA) on bridge deck deterioration. Given the interdependence between bridge decks and superstructures, it is plausible that ADT and DA significantly influence superstructure condition ratings and deterioration trends. However, their impact on superstructures remains insufficiently studied. In addition, existing studies primarily focus on overall bridge deterioration without adequately differentiating between superstructure designs and materials and maintenance authorities. …


Artificial Intelligence’S Role And Impact On The Engineering Discipline, Andrew Angelini Jan 2025

Artificial Intelligence’S Role And Impact On The Engineering Discipline, Andrew Angelini

Williams Honors College, Honors Research Projects

The purpose of this Honors Research project was to explore the impact of Artificial Intelligence (AI) on the Engineering Discipline as a whole. Specifically, civil engineering’s discipline of transportation was used to display the effectiveness of AI in engineering. This discipline was used due to its wide use in engineering and overall designs that can be created within this discipline. These designs include maintenance of traffic plans, engineering plan sets, horizontal and vertical curve design, intersection design, traffic signaling, highway material design, and phasing of intersections and traffic accounting for pedestrians. Through similar prompts that were given to a publicly …


Analysis Of Lava Flow Paths Using Remote Sensing And Geomorphological Techniques, Oluwatosin Oluyemisi Ayo Jan 2025

Analysis Of Lava Flow Paths Using Remote Sensing And Geomorphological Techniques, Oluwatosin Oluyemisi Ayo

Dissertations, Master's Theses and Master's Reports

Lava flows have severe impacts on the Earth’s surface, communities, and natural habitats. Accurate modeling of lava flow paths is crucial for volcanic hazard assessment and risk mitigation. This research integrated remote sensing, geographic information systems, geomorphological techniques, and hydrologic analysis to numerically determine the optimal ground sample distance (GSD) of digital elevation models (DEMs) for delineating lava flow paths. Two volcanic regions were analyzed: the Afar Region of Ethiopia (Alu, Dalaffilla, and Erta Ale volcanoes) and the Reykjanes Peninsula of Iceland (Fagradalsfjall volcano). Forward and backward modeling methods were used to simulate potential lava flow paths. Remote sensing data, …


Centralized Deep Reinforcement Learning For Homogeneous Multi-Component Maintenance Optimization, Joseph W. Wittrock Jan 2025

Centralized Deep Reinforcement Learning For Homogeneous Multi-Component Maintenance Optimization, Joseph W. Wittrock

Theses and Dissertations

This thesis explores an application of reinforcement learning (RL) in maintenance optimization. Recent advances in hardware-accelerated computation and deep learning have made RL a powerful tool for solving optimization problems which are too complex for traditional methods. Maintenance optimization involves improving the efficiency and effectiveness of maintenance activities through data-driven approaches, ultimately reducing costs and increasing asset availability. Making informed maintenance decisions is crucial to long-term sustainability.

A desirable maintenance policy maximizes a utility signal while minimizing the cost of maintenance. Techniques in sequential decision making such as dynamic programming (DP) and RL have found success in optimizing these maintenance …


A First Model Foundation Design Of Wood Pillar In Banjarmasin Swampland, Nursyarif Agusniansyah, Gusti Novi Sarbini, Akbar Rahman, Muhammad Tharziansyah Jan 2025

A First Model Foundation Design Of Wood Pillar In Banjarmasin Swampland, Nursyarif Agusniansyah, Gusti Novi Sarbini, Akbar Rahman, Muhammad Tharziansyah

ASEAN Journal on Science and Technology for Development

Banjarmasin's swampland presents distinct characteristics that make it suitable for constructing homes, but it also requires special attention, especially concerning the foundation. The soil in this area often has extremely low carrying capacity, which poses a significant challenge for construction. Mistakes in choosing construction materials, coupled with mismatched building loads and inadequate foundation functions, often result in foundation failures—a common cause of building collapses. As the complexity and functionality of buildings increase, the need for more thoughtful house design becomes more crucial. The commonly used wooden pile foundation, while popular, has limited load-bearing capacity, necessitating modifications to enhance its strength. …


Analyzing The Safety Effects Of Edge Lane Roads For Motor Vehicle Users, John Yang Jan 2025

Analyzing The Safety Effects Of Edge Lane Roads For Motor Vehicle Users, John Yang

Master's Theses

This thesis builds upon a prior study that analyzed the safety effects of Edge Lane Roads (ELRs) within the U.S. context, addressing gaps related to collision, traffic volume, and speed data. An ELR is a roadway configuration that accommodates two-way automobile traffic within a single center lane while providing edge lanes for vulnerable road users (VRUs), i.e., bicyclists or pedestrians. Although the concept of a single shared lane for opposing traffic often raises safety concerns among the public, ELRs have demonstrated potential to control speeds, optimize roadway space, and improve traffic operations on low-volume roads.

To evaluate safety outcomes, this …


Long-Term Assessment Of The Morphological Behavior Of The Beaches North Of Sebastian Inlet, Florida, Aidan O'Gorman Jan 2025

Long-Term Assessment Of The Morphological Behavior Of The Beaches North Of Sebastian Inlet, Florida, Aidan O'Gorman

UNF Graduate Theses and Dissertations

The morphological behavior of the beaches north of Sebastian Inlet, Florida is investigated by applying Empirical Orthogonal Function (EOF) analyses to a series of beach surveys conducted semi-annually (winter and summer) over a period of fifteen years (2005-2019), with the primary objectives being to 1) determine the extent to which the inlet’s influence to the north typically fluctuates on a short-term basis (e.g. annually), and 2) identify any long-term trends of accretion or erosion that might exist. Each survey is comprised of thirty-one cross-shore profiles that are referenced to permanently installed range monuments (“R-monuments”) that are spaced nominally 305 …


Assessment Of Surface Area Application Ratios For Beach Sand Treated Via Surface Percolated Micp-Bioslurry For Erosion Mitigation, Connor J. Marlin Jan 2025

Assessment Of Surface Area Application Ratios For Beach Sand Treated Via Surface Percolated Micp-Bioslurry For Erosion Mitigation, Connor J. Marlin

UNF Graduate Theses and Dissertations

Rapid shoreline erosion associated with sea-level rise is an ongoing threat to coastal infrastructure. Traditional stabilization techniques, such as revetments, seawalls, and periodic nourishment, often prove costly, ecologically disruptive, or provide only temporary protection. Microbially Induced Calcite Precipitation (MICP) and its operational variant, bioslurry, present a biologically inspired alternative capable of forming a cemented surface crust that reduces soil erodibility. Previous laboratory studies typically prescribed a solution dosage as a percentage of pore volume (%PV). While geotechnically sound, this metric is poorly suited to field deployment across a large area. This thesis evaluates surface-area-based dosing (L/m²) as the primary dosage …


Dynamic Modulus Of Sbs-Modified Asphalt Mixtures Added With Ground Tire Rubber Content, Azharul Islam Jan 2025

Dynamic Modulus Of Sbs-Modified Asphalt Mixtures Added With Ground Tire Rubber Content, Azharul Islam

College of Graduate Studies: Theses & Dissertations

The study investigates the improvement of the dynamic shear modulus in the base and styrene butadiene styrene (SBS) modified asphalt mixture by accumulating varying amounts of ground tire rubber through an Asphalt mixture performance tester (AMPT). This thesis specifically explores how different percentages of ground tire rubber (GTR) influence the mechanical properties and durability of the asphalt mixture articulated with two grades, PG 64-22 and PG 76-22. The experimental framework consisted of preparing asphalt mixtures blended with 10% to 15% of the binder for PG 64-22 and 3% to 8% of GTR for PG 76-22. The laboratory testing involved using …


Data Driven Bridge Deck Deterioration Modeling And Maintenance Intervention Scheduling, Deepak Kumar Jan 2025

Data Driven Bridge Deck Deterioration Modeling And Maintenance Intervention Scheduling, Deepak Kumar

Dissertations and Theses

Majority of over 617,000 bridges across the United States are significantly impacted by environmental factors, aging materials, and heavy traffic loads. According to the 2021 Infrastructure Report, nearly 231,000 bridges require repair or preservation work, with 46,154 (7.5%) being classified as structurally deficient, thereby posing risks for mor than 178 million daily trips across these bridges. Despite recent improvements, 42% of U.S. bridges are at least 50 years old, underscoring an urgent need for increased investment to meet repair demands. The nation’s backlog of bridge repairs is estimated at $125 billion, with a 58% increase in annual spending required to …


Deep Learning Architectures For Improving Weather Research And Forecasting (Wrf) Precipitation Estimates And Landslide Susceptibility Mapping: A Case Study Of Puerto Rico, Said A. Mejia Manrique Jan 2025

Deep Learning Architectures For Improving Weather Research And Forecasting (Wrf) Precipitation Estimates And Landslide Susceptibility Mapping: A Case Study Of Puerto Rico, Said A. Mejia Manrique

Dissertations and Theses

Precipitation is a critical factor in the Earth’s hydrological cycle and has a profound impact on various environmental and socioeconomic systems, including management of water resources, flood forecasting, and the evaluation of natural hazards, particularly those associated with rainfall-induced landslides. For the latter, obtaining precise precipitation estimates is essential, as intense rainfall events can trigger landslides that pose significant risks to human life, infrastructure, and ecosystems, particularly in mountainous regions. Puerto Rico (PR), with its mountainous terrain, tropical climate, and vulnerability to hurricanes, provides a unique environment for studying precipitation patterns and the need for accurate rainfall estimates. The complex …


Geospatial Analysis For Urban Resilience: Green Space, Flood Susceptibility, And Wetland Restoration Potential, Jessica Lareaux Jan 2025

Geospatial Analysis For Urban Resilience: Green Space, Flood Susceptibility, And Wetland Restoration Potential, Jessica Lareaux

Dissertations, Master's Theses and Master's Reports

Through the integration of high-resolution geospatial data, hydrologic modeling, and spatial statistics, this research addresses three interrelated topics that are critical to sustainable, equitable, and climate-resilient urban planning. The overall objective of this dissertation is to provide data-driven and machine learning-based geospatial analysis frameworks that enhance our understanding of environmental inequities, flood exposure, and the potential for wetland restoration, with a focus on urban contexts. The study presented in Chapter Two examines the distribution and accessibility of urban green spaces in Detroit, Michigan, using high-resolution geospatial data and geospatial analysis methods, including geographically weighted regression (GWR) and network-based analyses. This …


Bond Behavior Of Magnesium Potassium Phosphate Cement (Mkpc) Coating For Steel Reinforcement, Eric Williams Jan 2025

Bond Behavior Of Magnesium Potassium Phosphate Cement (Mkpc) Coating For Steel Reinforcement, Eric Williams

Masters Theses

"This research investigates the bond behavior of magnesium potassium phosphate cement (MKPC) coated mild steel deformed bars in conventional concrete and concrete repair materials. For typical steel reinforcement in concrete, a thin “passive layer” develops around the reinforcement, which protects the reinforcement from corrosion. The concrete carbonates over time, reducing the protection of the passive layer and allowing chlorides, which corrode the reinforcement, to penetrate at an increasing rate. In some cases, to combat this corrosion, a protective layer is added to the reinforcement prior to installation. Common protective layers include epoxy coatings or zinc galvanization. MKPC is a novel …


System Design For Highly Accurate And Efficient Target Detection In Triaxial Testing, Qingqing Fu Jan 2025

System Design For Highly Accurate And Efficient Target Detection In Triaxial Testing, Qingqing Fu

Masters Theses

Accurate and automated recognition of coded targets is crucial for high-precision photogrammetry-based measurements in triaxial testing. Traditional recognition methods, including those based on deep learning and table decoding, often struggle with issues such as perspective distortion, rotation, and variable lighting, leading to unreliable results. While deep learning approaches offer some improvements, they remain computationally intensive and sensitive to environmental factors.

This thesis introduces an innovative system that replaces deep learning algorithms with a blob analysis-based method for efficient and robust recognition of coded targets. The system also employs newly designed solid points of varying sizes and patterns, eliminating the need …