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Thermal Behavior Of Plain And Fiber-Reinforced Rigid Concrete Airfield Runways, Arash Karimi Pour 2023 University of Texas at El Paso

Thermal Behavior Of Plain And Fiber-Reinforced Rigid Concrete Airfield Runways, Arash Karimi Pour

Open Access Theses & Dissertations

The environmental condition and temperature gradient are important factors resulting in concrete airfield runways cracking during the time. Rigid concrete airfield runways experience different thermal gradients during the day and night due to changes in air temperature. Curling and thermal expansion stresses are the main consequences resulting in various types of cracking over the surface and thickness of concrete airfield runways and increasing maintenance costs. The curvature of concrete slabs increases with an increase in the temperature gradient which is amplified when runways open to traffic. Additionally, the combination of the curling and shrinkage stresses, in rare circumstances, can be …


Building Services Engineering May/June 2023, 2023 Technological University Dublin

Building Services Engineering May/June 2023

Building Services Engineering

No abstract provided.


Rattus Norvegicus As A Biological Detector Of Clandestine Remains And The Use Of Ultrasonic Vocalizations As A Locating Mechanism, Gabrielle M. Johnston 2023 University of New Haven

Rattus Norvegicus As A Biological Detector Of Clandestine Remains And The Use Of Ultrasonic Vocalizations As A Locating Mechanism, Gabrielle M. Johnston

Master's Theses

In investigations, locating missing persons and clandestine remains are imperative. One way that first responder and police agencies can search for the remains is by using cadaver dogs as biological detectors. Cadaver dogs are typically used due to their olfactory sensitivity and ability to detect low concentrations of volatile organic compounds produced by biological remains. Cadaver dogs are typically chosen for their stamina, agility, and olfactory sensitivity. However, what is not taken into account often is the size of the animal and the expense of maintaining and training the animal. Cadaver dogs are typically large breeds that cannot fit in …


Photocatalytic Nanoparticle Treatment Of Cyanotoxins In Harmful Algal Blooms, Brian Baird 2023 University of Arkansas, Fayetteville

Photocatalytic Nanoparticle Treatment Of Cyanotoxins In Harmful Algal Blooms, Brian Baird

Civil Engineering Undergraduate Honors Theses

Harmful Algal Blooms (HAB) have the ability to cause detriment to water bodies, ecosystems, and human health. Furthermore, current evidence suggests that these events are becoming increasingly common due to factors such as increased pollution and global warming. While there are current methods to treat water that is negatively impacted by the bacteria and toxins associated with HABs, these methods are often costly and inefficient. The purpose of this research is to explore a potential treatment option that uses titanium dioxide photocatalytic nanoparticles attached to a retractable net to treat toxins produced by HABs in situ. Specifically, the toxin …


Understanding The Bond Strength Of Bcsa Cement Repair Concrete To Portland Cement Concrete, Brenden Simmons 2023 University of Arkansas, Fayetteville

Understanding The Bond Strength Of Bcsa Cement Repair Concrete To Portland Cement Concrete, Brenden Simmons

Civil Engineering Undergraduate Honors Theses

Concrete structures deteriorate over time, and there is an increasing demand for quick repair solutions. Belitic calcium sulfoaluminate (BCSA) cement, a type of rapid setting cement, is thought to be a more sustainable and convenient alternative to portland cement in repair concrete applications. Indicated by the name, rapid setting concrete can set up quicker than traditional portland cement concrete. Because of this, there has been a lot of research about the properties of rapid setting concrete mixes. One of the most popular topics is the strength of the concrete itself. However, there is a need for more research to understand …


Reducing Infiltration And Inflow In Small Collection Systems: Environmental, Economic, And Other Impacts, Andrew Hansen 2023 University of Nebraska-Lincoln

Reducing Infiltration And Inflow In Small Collection Systems: Environmental, Economic, And Other Impacts, Andrew Hansen

Department of Civil and Environmental Engineering: Dissertations, Theses, and Student Research

Wastewater treatment facilities (WWTFs) and the collection systems (CSs) which feed them provide essential services to society by collecting sewage (aka wastewater), biologically treating it, and minimizing risks to human health as well as the impact of waste on the environment. However, as collection systems age, increasing infiltration and inflow (I/I) from groundwater and stormwater can negatively affect the system. I/I is often mitigated to reduce flow and eliminate other negative impacts to the system.

Ten total case studies, seven mechanical water resource recovery facilities (WRRFs) and three lagoon facilities, were examined for the environmental, economic, and other impacts/benefits from …


Sustainable Revitalization Of Asphalt Pavements: An In-Depth Analysis Of Enhancing The Performance Of Asphalt Binder Through The Application Of Rheological And Molecular Dynamics Simulation Techniques, Muhammad Ahmad 2023 University of Nebraska-Lincoln

Sustainable Revitalization Of Asphalt Pavements: An In-Depth Analysis Of Enhancing The Performance Of Asphalt Binder Through The Application Of Rheological And Molecular Dynamics Simulation Techniques, Muhammad Ahmad

Department of Civil and Environmental Engineering: Dissertations, Theses, and Student Research

Vegetable-based oils such as corn and soybean oil have triglycerides and fatty acids that allow them to be considered sustainable and effective recycling agents (RAs) for aged asphalt binder. However, there are concerns about their effect on the recycled asphalt binder's long-term performance, moisture damage resistance, and self-healing characteristics restoration. In this study, crude corn oil (CO) and crude soybean oil (SO) were used as RAs to restore the performance of a reclaimed asphalt binder (RAB) extracted from reclaimed asphalt pavement. The binder extracted from RAB was modified with a neat binder PG64-28 and RAs to restore the high-end performance …


Assessing The Performance Of High-Rap Mixtures Incorporating Crude Vegetable Oils And An Antioxidant From Mechanical, Environmental, And Economic Perspectives, Nitish R. Bastola 2023 University of Nebraska-Lincoln

Assessing The Performance Of High-Rap Mixtures Incorporating Crude Vegetable Oils And An Antioxidant From Mechanical, Environmental, And Economic Perspectives, Nitish R. Bastola

Department of Civil and Environmental Engineering: Dissertations, Theses, and Student Research

Utilization of mixtures with high amounts of reclaimed asphalt pavement (RAP) in the pavement industry is limited because of the adverse effects of aged materials in recycled asphalt materials. To date, numerous approaches have been used to reduce the adversity of RAP in mixtures. One such approach is the use of recycling agents (RAs) from various sources, such as petroleum and bio-oil. However, the current need is to maximize the use of RAP by adopting a sustainable source of RAs. Therefore, this study uses two RAs based on vegetable oils (crude soybean oil and crude corn oil) with high-RAP mixtures …


Machine Learning-Based Data And Model Driven Bayesian Uncertanity Quantification Of Inverse Problems For Suspended Non-Structural System, Zhiyuan Qin 2023 Clemson University

Machine Learning-Based Data And Model Driven Bayesian Uncertanity Quantification Of Inverse Problems For Suspended Non-Structural System, Zhiyuan Qin

All Dissertations

Inverse problems involve extracting the internal structure of a physical system from noisy measurement data. In many fields, the Bayesian inference is used to address the ill-conditioned nature of the inverse problem by incorporating prior information through an initial distribution. In the nonparametric Bayesian framework, surrogate models such as Gaussian Processes or Deep Neural Networks are used as flexible and effective probabilistic modeling tools to overcome the high-dimensional curse and reduce computational costs. In practical systems and computer models, uncertainties can be addressed through parameter calibration, sensitivity analysis, and uncertainty quantification, leading to improved reliability and robustness of decision and …


Analyzing The Effects Of Rejuvenators In Balanced Mix Design With High Percentages Of Recycled Asphalt Pavement, Amanda Jo Mullins 2023 Boise State University

Analyzing The Effects Of Rejuvenators In Balanced Mix Design With High Percentages Of Recycled Asphalt Pavement, Amanda Jo Mullins

Boise State University Theses and Dissertations

Interest in sustainable practices have increased in several industries, including civil engineering pavement materials. The incorporation of Recycled Asphalt Pavement (RAP) into new pavement mix design is a popular method of application for sustainable practice and is accompanied by numerous economic and environmental benefits. There is significant interest in using large amounts of this RAP material in pavement design to maximize the benefits, but several problems arise when utilizing “high” amounts of this material (more than 25% RAP replacement) due to aged and oxidized binder that negatively impacts the properties. The use of rejuvenators (RAs) and Balanced Mix Design (BMD) …


Preferences Toward Augmented Reality Technologies For Pedestrian Navigation, Victoria Alejandra Diaz Mejia 2023 Florida Institute of Technology

Preferences Toward Augmented Reality Technologies For Pedestrian Navigation, Victoria Alejandra Diaz Mejia

Theses and Dissertations

This research investigates the demand for pedestrian navigation supported by augmented reality (AR) via headset and mobile technologies by evaluating factors specific to each technology and the decision makers. Recent advances in digital engineering systems, e.g., digital twins and smart cities, are enabling new services like AR-supported wayfinding for pedestrians. Still, it is unknown whether American pedestrians would use AR, the type devices and feature that add value to their navigation, the demographic profiles more inclined to AR wayfinding, and the sensitivity of such demand to software and hardware cost. As the first investigation addressing the demand for AR pedestrian …


Development Of Design Method For Fiber Reinforced Slab On Ground, Abdullah Albogami 2023 Florida Institute of Technology

Development Of Design Method For Fiber Reinforced Slab On Ground, Abdullah Albogami

Theses and Dissertations

All the present methods of designing the slab-on-ground (SOG) are based on the flexural slab capacity (FSC) to determine the required thickness by calculating the modulus of rupture (MOR) of the concrete beam, depending on ASTM C78 or AASHTO T 97 specifications. All previous experimental results have confirmed that the MOR is much lower than the FSC and it cannot be used to predict FSC accurately. Hence, using the MOR to predict the FSC would lead to the underestimation of FSC and require more unnecessary thickness. Therefore, this study aims to develop accurate equation for estimating the FSC based on …


Field Application Of A High-Power Density Electromagnetic Energy Harvester To Power Wireless Sensors In Transportation Infrastructures, Anil Agrawal, Mohsen Amjadian, Wai Yan Tun, Hani Nassif, Hongfan Wang 2023 The University of Texas Rio Grande Valley

Field Application Of A High-Power Density Electromagnetic Energy Harvester To Power Wireless Sensors In Transportation Infrastructures, Anil Agrawal, Mohsen Amjadian, Wai Yan Tun, Hani Nassif, Hongfan Wang

Civil Engineering Faculty Publications

Finding an efficient source of energy has always been a big challenge for humans on Earth. Fossil fuels, such as coal and oil, have traditionally been considered as major sources of energy. These energy sources are not only nonrenewable but are also harmful to our health and environment. A large portion of this energy is consumed by vehicles moving daily in big cities, causing significant pollution of the environment. However, the motion of vehicles through the transportation infrastructures can also be a significant source of kinetic energy, which can be harvested to power transportation system components, such as sensors, street …


Development Of A Unified Personal And Commercial Residential Hurricane Vulnerability Model Including Sensitivity And Uncertainty Studies, Roberto Vicente Silva de Abreu 2023 Florida Institute of Technology

Development Of A Unified Personal And Commercial Residential Hurricane Vulnerability Model Including Sensitivity And Uncertainty Studies, Roberto Vicente Silva De Abreu

Theses and Dissertations

As the population and properties in the state of Florida increase, there is an increase in hurricane losses. Hurricane winds and debris can impact the exterior components of a building envelope. The envelope breaches and defects of these components provide a pathway to hurricane wind-driven rain into the building, which causes interior and contents damage. Loss models, such as the Florida Public Hurricane Loss Model (FPHLM), estimate hurricane insured losses for portfolios of buildings. The vulnerability component of the FPHLM has a personal residential module (PR), for single family homes, and a commercial residential module (CR-LR), for apartment buildings. They …


Upgrading The Performance Of Steel Beams Using Fastened Advanced Composite Materials, Omnia Ragab Abouelhamd 2023 United Arab Emirates University

Upgrading The Performance Of Steel Beams Using Fastened Advanced Composite Materials, Omnia Ragab Abouelhamd

Dissertations

Bonding Fiber-Reinforced Polymers (FRP) is commonly used to enhance the structural performance of existing steel beams; however, the brittle failure at the adhesive risks the effectiveness of the bonded system. Fastening FRP is recently proposed to avoid the brittle failure of the adhesive. Promising outcomes of few studies on fastened FRPsteel system provoked the interest to investigate the effects of various fastening parameters on the performance of fastened FRP-steel beams.

This study investigates, experimentally and numerically, the impact of various fastening parameters on the performance of fastened FRP-steel beams. The proposed method involves fastening carbon-glass hybrid FRP (HFRP) strips to …


Using Metal-Organic Frameworks (Mofs) In Producing Self-Curing Concrete, Lama Fathi Allan 2023 United Arab Emirates University

Using Metal-Organic Frameworks (Mofs) In Producing Self-Curing Concrete, Lama Fathi Allan

Theses

Curing of concrete is the presence of adequate moisture content in concrete throughout its early stages to produce the desired properties, as it is significant in improving the concrete microstructure and pore structure and hence in developing its performance and durability. However, good curing is not always practical in several cases, such as in hot weather regions and areas of water inadequacy. For that reason, the need to develop self-curing concrete attracted several researchers. The use of self-curing agents minimizes the water evaporation from concrete and consequently increases its water retention capacity compared to conventional concrete. This thesis is concerned …


Machine-Learning-Based Model For Hurricane Storm Surge Forecasting In The Lower Laguna Madre, Cesar E. Davila Hernandez, Jungseok Ho, Dong-Chul Kim, Abdoul Oubeidillah 2023 The University of Texas Rio Grande Valley

Machine-Learning-Based Model For Hurricane Storm Surge Forecasting In The Lower Laguna Madre, Cesar E. Davila Hernandez, Jungseok Ho, Dong-Chul Kim, Abdoul Oubeidillah

Civil Engineering Faculty Publications

During every Atlantic hurricane season, storms represent a constant risk to Texan coastal communities and other communities along the Atlantic coast of the United States. A storm surge refers to the abnormal rise of sea water level due to hurricanes and storms; traditionally, hurricane storm surge predictions are generated using complex numerical models that require high amounts of computing power to be run, which grow proportionally with the extent of the area covered by the model. In this work, a machine-learning-based storm surge forecasting model for the Lower Laguna Madre is implemented. The model considers gridded forecasted weather data on …


Service-Learning For Infrastructure Improvements In Herald Square - Accuracy, Gabriela Funes, Tanvir Ahmed, Annie Benson, William A. Loyed 2023 Georgia Southern University

Service-Learning For Infrastructure Improvements In Herald Square - Accuracy, Gabriela Funes, Tanvir Ahmed, Annie Benson, William A. Loyed

Eagle Showcase: Excellence in Service-Learning (Archived)

Generation of Terrestrial LiDAR model to assist in the design of public infrastructure.


Service-Learning Modeling For Infrastructure Improvements In Herald Square, Shane M. Henry, Hayden A. Holder, Joel Juarez, Teresa M. Macias, Zenan C. Merritt, Luke H. Ward, Aniya A. Williams 2023 Georgia Southern University

Service-Learning Modeling For Infrastructure Improvements In Herald Square, Shane M. Henry, Hayden A. Holder, Joel Juarez, Teresa M. Macias, Zenan C. Merritt, Luke H. Ward, Aniya A. Williams

Eagle Showcase: Excellence in Service-Learning (Archived)

Use of terrestrial LiDAR scanner in Service-Learning project to assist the design of public infrastructure.


Investigating The Severity And Rate Of Occurrence Of Motorcycle Crashes Across Different Land Uses In Georgia, Robert Edwards 2023 Kennesaw State University

Investigating The Severity And Rate Of Occurrence Of Motorcycle Crashes Across Different Land Uses In Georgia, Robert Edwards

Symposium of Student Scholars

In 2020, motorcycle crashes reached their highest number of fatalities nationally since 1975, when 5,579 motorcyclists were killed. Georgia, in recent years, has seen an increase in the number of fatal multi-vehicle crashes involving motorcycles. This would be indicative of the general trend and nothing more if the number of motorcycle crashes reported outside of urban populations did not increase—despite lockdown measures—by 1.7% in 2020. In this investigation, employing a thorough examination of the Georgia Department of Transportation’s Crash Data (GDOT) compiled from the last ten years and the Fatality Analysis Reporting System (FARS) compiled from the last five years, …


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