Engineering Commons^™

Sustain Water Conservation Behaviors Using Nonparametric Ranking And Social Marketing, Mahmudur Rahman Aveek

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

Circulation of water use feedback and conservation messaging are strategies implemented to reduce water demand on a short-term (seasonal) basis. Often considered a less impactful strategy than other tactics such as price increments and usage restrictions, authorities mostly use feedback in informational campaigns with a focus to apprise users about their water use. Such conservation programs have had limited success that has been attributed to the fact that the information provided with the feedback campaigns was generic and did not motivate users enough to sustain their water-saving behaviors. However, the advent of disaggregation technologies that can provide appliance-wise water use …

Advancing The Cyberinfrastructure For Smart Water Metering And Water Demand Modeling, Nour A. Attallah

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

With rapid growth of urban populations and limited water resources, achieving an appropriate balance between water supply capacity and residential water demand poses a significant challenge to water supplying agencies. With the recent emergence of smart metering technology, where water use can be monitored and recorded at high resolution (e.g., observations of water use every 5 seconds), most existing research has been aimed at providing water managers with detailed information about the water use behavior of their consumers and the performance of water using fixtures. However, replacing existing meters with smart meters is expensive, and effectively using data produced by …

Cuo Nanoparticles Solubility As Influenced By Soil Pore Water, Native Microorganisms, And Wheat Rhizosphere Chemistry In A Sand Matrix, Dakota Sparks

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

Nanoparticles (NPs) are particles less than 100 nm (~4 millionths of an inch) in a direction. NPs, due to their small size, are used in a variety of products, such as silver (Ag) NPs as an antimicrobial in clothes. Copper Oxide (CuO) NPs are used in electronics as semiconductors and other fields as antimicrobials and purposefully or accidentally end up in the environment. Copper (Cu) is a necessary nutrient for plants, but at higher amounts is toxic to plants and beneficial soil microbes.

In order to understand how the CuO NPs interacts with plants, wheat seedlings were grown in sand …

Passage Probability Of Woody Debris Elements And Accumulations At I- And V-Shaped Rock Weirs, Kathryn Margetts

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

The transport and accumulation of driftwood or large woody debris (LWD) in mountain streams is a natural part of catchment health and river connectivity. At hydraulic structures, the presence of LWD may impact flow efficiency and influence upstream water depth. LWD has been studied at a variety of spillways and weir types, however, little is known about its interaction at rock weirs. This study investigated factors affecting the passage of individual LWD elements and any LWD accumulations at rock weirs, as well as potential impacts upstream of LWD accumulations through field-informed scaled model testing. Observations of LWD at rock weirs …

Highly Variable Rainfall-Runoff Patterns Across Burned Mountainous Watersheds In The Colorado River Headwaters, Haley Anne Canham

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

Wildfires can contribute to enhanced flooding, erosion, debris flows, sediment transport, and water quality changes that impact downstream infrastructure, water users, and aquatic habitat. With increasing wildfire risk in the western U.S. due to a changing climate, understanding post-wildfire rainfall-runoff patterns and controls is critical for continued water resources security. To improve understanding of post-wildfire rainfall-runoff patterns and controls, we developed a transparent, repeatable analysis framework to collect precipitation and streamflow data, identify paired rainfall-runoff events, and analyze these events to evaluate post-wildfire rainfall-runoff patterns and controls. To automate the rainfall-runoff event identification, the Rainfall-Runoff Event Detection and Identification (RREDI) …

Pedestrian Behavior At Signalized Intersections Throughout Utah, Sadie Boyer

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

Pedestrians and vehicles interact with each other all over the world. Pedestrian-vehicle interactions are most likely to occur at intersections. One way to streamline these interactions and reduce the number of potential conflicts is by using traffic signals. Signalized intersections were developed to increase the overall safety and efficiency of movements involving motorists and, later, pedestrians (Clark, 2022). The number of signalized intersections is increasing across the country as vehicle volumes increase. This means that pedestrian-vehicle conflicts are also increasing. Pedestrian-vehicle conflicts can have serious, even fatal, consequences if not appropriately managed.

This study was a sponsored project by the …

Optimal Scheduling Of Connected And Autonomous Vehicles At A Reservation-Based Intersection., Muting Ma

Electronic Theses and Dissertations

Reservation-based intersection control has been evaluated with better performance over traditional signal controls in terms of intersection safety, efficiency, and emission. Controlling connected and autonomous vehicles (CAVs) at a reservation-based intersection in terms of improving intersection efficiency is performed via two factors: trajectory (speed profile) and arrival time of CAVs at the intersection. In an early stage of the reservation-based intersection control, an intersection controller at the intersection may fail to find a feasible solution for both the trajectory and arrival time for a CAV at a certain planning horizon. Leveraging a deeper understanding of the control problem, reservation-based intersection …

A Comparable Analysis Of Civilian And Military Airfield Runway Design Procedures, Jacob Wessel

Open Access Theses & Dissertations

In the United States there are two primary agencies that regulate, approve, and aid in airfield runway designs. These two agencies are the Federal Aviation Administration (FAA) and the Department of Defense (DOD), and they both have different design procedure for design and construction of their prospective airfield runways. It is important to have a closer look at the design procedures, the reliance of software and how these compare to each other. The primary objective of this research was to conduct a sensitivity analysis of the FAA and the DOD airfield design programs used to aid in the design of …

Fabrication Of Lab-Scale Polymeric And Silicon Dioxide Nanoparticle-Enabled Thin Film Composite Reverse Osmosis Membranes For Potable Reuse Applications, Timothy J. Dinh

Master's Theses

Reverse osmosis (RO) is widely used for water reclamation and is one of the most feasible technologies for addressing water scarcity around the world. RO membrane fabrication procedures are continually being optimized and modified to enhance the treatment performance and efficacy of the RO process. A review of the existing literature published on membrane fabrication revealed that a detailed and reproducible methodology consistent among prior studies was not available. Therefore, the primary objective of this study was to utilize techniques from prior research to develop a reliable lab-scale membrane fabrication process for studying the potable reuse applications of TFC RO …

Thermal Properties Of Water Repellent Sands: Experimental And Theoretical Evaluation, Gang Lei

Civil Engineering Dissertations - Archive

ABSTRACT: Unsaturated hydrophobic soils, induced by the decomposition of plant roots or chemical or oil contamination et al., may have potentially negative effects on soil thermal behaviors and further influence the performance of shallowly buried energy systems, including ground heat exchangers, borehole energy geo-storage systems, and buried power cable systems, etc. This research focused on the fundamental understanding of soil thermal behaviors in relation to surface wettability. Surface wettability alteration was conducted in the laboratory by applying dimethyldichlorosilane (DMDCS) on dry sands, which generated a thin hydrophobic layer on the sand particle surface. Several surface characterizations using scanning electron microscopy …

A Sustainable And Equitable Transportation System Design Under Connected Vehicle And Big Data Driven Environment, Farzana Rahman Chowdhury

Civil Engineering Dissertations - Archive

As the population increases day by day, several cities are having trouble dealing with the increasing demand for a sustainable and equitable transportation system. At the same time, application of newer technology is also increasing . By definition, a sustainable transportation system indicates a method that includes the needs of each individual road user and mode of transportation. A sustainable transportation system also supports the compatibility of the system with the change in demand, regional development, and available resources. In a sustainable and equitable transportation system, integrating the virtual world and the physical world is crucial since it makes the …

Model Development For User Behavior While Adopting Autonomous Vehicles As Their On-Demand Transportation Mode, Ronik Ketankumar Patel

Civil Engineering Dissertations - Archive

Shared autonomous vehicles (SAVs) are a new technology that allows passengers to skip hailing a cab using a smartphone app to summon an autonomous shuttle that does not require a human operator. SAVs are anticipated to improve the efficiency, mobility, safety, and affordability of transportation systems. However, consumers will determine the success of SAV technology. Researchers have studied the associations between individuals' attitudes, preferences, and adoption of self-driving services focusing mainly on potential riders with no actual ridership experience. However, the literature lacks empirical assessments of riders' adoption and acceptance of SAVs. Therefore, this study aims to develop two models …

Data Fusion For Non-Motorized Volume Estimation: A Machine Learning Approach, Md. Mintu Miah

Civil Engineering Dissertations - Archive

ABSTRACT: Despite increased awareness at the state and federal levels of the design and policy concerns associated with nonmotorized infrastructure, communities typically develop strategies to estimate network-wide nonmotorized traffic. However, past research fails to provide the same level of estimation sophistication as motor vehicles due to a lack of investment, which limits increased understanding and capability among communities in network-wide nonmotorized traffic volume estimation. Although previous studies introduce machine learning, Neural Networks, and feature engineering to motorized traffic volume estimation, nonmotorized traffic estimation experiences limited attempts to use these advanced techniques. This dissertation addresses this deficiency in bicycle volume estimation …

Physical And Mental Health Challenges Of Construction Workforce Active In Extreme Weather Conditions, Sanjgna Karthick

Civil Engineering Dissertations - Archive

Construction sites continue to operate despite inclement weather, exposing workers to unpleasant working circumstances that can lead to various physical and mental health challenges. A thorough literature review yielded 21 challenges for hot weather conditions such as heat stroke, kidney disease, heat cramps, anxiety, depression and 20 challenges for cold weather conditions like asthma, frostbite, Musculo-Skeletal disorders, hallucination. Workers vulnerable to hot and cold weather based on demographic characteristics were identified. The study also provides 27 strategies to address the challenges experienced in hot and cold weather conditions. Some of these include ensuring that workers stay hydrated, scheduling sufficient rest …

Performance Evaluation And Retrofitting Options Of A Precast Prestressed Concrete Bridge With Deck Panel Failure, Ahmed Abdullah Alateeq

Civil Engineering Dissertations - Archive

Bridges play a crucial role in the worldwide transportation infrastructure. According to the 2021 America’s Infrastructure Report Card, there are more than 617,000 bridges across the Nation, of which, 42% are at least 50 years old, and 7.5% are rated as structurally deficient. Repetitive loading from heavy trucks is one of the reasons that could compromise the structural integrity of bridges. The heavy trucks have a negative impact on the bridge deck as a bridge’s first line of defense is to resist the applied load. The Las Lomas Bridge [Eastbound (EB) and Westbound (WB)] carrying IH-20 over Las Lomas Pkwy, …

Measurement Of Enantiomer Percentages For Five Monoterpenes From Six Conifer Species By Cartridge-Tube-Based Passive Sampling Adsorption–Thermal Desorption (Ps-Atd), Ying Wang, Wentai Luo, Todd Rosenstiel, James F. Pankow

Civil and Environmental Engineering Faculty Publications and Presentations

Many monoterpenes have at least two different stereochemical forms, and many biosynthetic pathways are known to favor one product over the other(s). A rapid method was developed and used in the determination of the (-/+" role="presentation" style="box-sizing: border-box; border-radius: 0px; display: inline; line-height: normal; word-spacing: normal; overflow-wrap: normal; white-space: nowrap; float: none; direction: ltr; max-width: none; max-height: none; min-width: 0px; min-height: 0px; border: 0px; padding: 0px; margin: 0px; position: relative;">)-enantiomeric distributions for α-pinene, β-pinene, camphene, limonene, and β-phellandrene as emitted by plant material from six conifer species. The six species included the two pine species Pseudotsuga …

Evaluation Of Fresh And Hardened Properties Of 3d-Printed Engineered Cementitious Composites (Ecc) Designed For Sustainable And Resilient Infrastructure Systems, Maryam Hojati, Muhammad Saeed Zafar, Amir Bakhshi

Data

3D concrete printing is a cutting-edge construction technique that has the potential to revolutionize the construction industry due to cost-saving in terms of labor and formwork costs, efficiency in construction, lower safety-related risks, and a higher degree of automation. However, several issues still make its adoption relatively slower on a large scale. Engineered cementitious composites (ECC), a class of ultra-high-strength concrete, can be a potential solution to some problems, such as reinforcement and durability. The preliminary phase of a Tran SET project focused on the design of 3D printable ECC, considering the concrete mix design proportions and their potential effects …

Evaluation Of Fresh And Hardened Properties Of 3d-Printed Engineered Cementitious Composites (Ecc) Designed For Sustainable And Resilient Infrastructure Systems, Maryam Hojati, Muhammad Saeed Zafar, Amir Bakhshi

Publications

3D concrete printing is a cutting-edge construction technique that has the potential to revolutionize the construction industry due to cost-saving in terms of labor and formwork costs, efficiency in construction, lower safety-related risks, and a higher degree of automation. However, several issues still make its adoption relatively slower on a large scale. Engineered cementitious composites (ECC), a class of ultra-high-strength concrete, can be a potential solution to some problems, such as reinforcement and durability. The preliminary phase of a Tran SET project focused on the design of 3D printable ECC, considering the concrete mix design proportions and their potential effects …

Alternative Supplementary Cementitious Materials In Ultra-High Performance Concrete, Craig Newtson, Seyedsaleh Mousavinezhad, Gregory J, Gonzales, William K. Toledo, Judit M. Garcia

Data

Ultra-high performance concrete (UHPC) is an emerging material with remarkable mechanical and durability properties that contains large amounts of cementitious materials. Silica fume is a main supplementary cementitious material (SCM) in UHPC, however, it is more expensive than cement and other SCMs, so it is often substituted with inexpensive class F fly ash. Unfortunately, future availability of fly ash is uncertain as the energy industry moves toward renewable energy. Fly ash shortages create an urgent need to find cost-effective and environmentally-friendly alternatives for fly ash. This study investigated replacing cement, fly ash, and silica fume in UHPC mixtures with ground …

Effectiveness Assessment Of E-Ticketing Technology In Construction Of Transportation Projects, Sharareh Kermanshachi, Karthik Subramanya

Data

The construction of highway infrastructure has devoted significant resources towards e-Construction to reduce the paperwork and automate the tasks in daily operations. Electronic Ticketing (e-Ticketing) is one such component of e-Construction that aids in the digital transfer of material tickets such as asphalt and concrete which accounts for more than fifty per cent of construction costs. Despite the benefits of e-Ticketing, many state departments and agencies are unwilling to transition into this technology. No studies have identified the cause of the delay in the implementation process, developed a framework to comprehend the platform's full potential, quantified savings, and suggested strategies …

Development Of A Machine Learning-Based Model To Determine The Optimum And Safe Restriping Timing Of Thermoplastic Pavement Markings In Hot And Humid Climates, Momen R. Mousa, Marwa Hassan

Publications

Due to limited budget, most transportation agencies restripe their thermoplastic pavement markings based on a fixed schedule or based on visual inspection instead of monitoring the retroreflectivity and restriping when the retroreflectivity drops below a pre-determined threshold. These strategies are questionable in terms of efficiency and economy. Therefore, previous studies proposed degradation models to predict the retroreflectivity of thermoplastic markings based on key variables. Yet, most of these studies reported low R² (as low as 0.1), which placed little confidence in these models. Therefore, the objective of this study was to evaluate and predict the field performance of thermoplastics …

Development Of A Machine Learning-Based Model To Determine The Optimum And Safe Restriping Timing Of Thermoplastic Pavement Markings In Hot And Humid Climates, Momen R. Mousa, Marwa Hassan

Data

Due to limited budget, most transportation agencies restripe their thermoplastic pavement markings based on a fixed schedule or based on visual inspection instead of monitoring the retroreflectivity and restriping when the retroreflectivity drops below a pre-determined threshold. These strategies are questionable in terms of efficiency and economy. Therefore, previous studies proposed degradation models to predict the retroreflectivity of thermoplastic markings based on key variables. Yet, most of these studies reported low R² (as low as 0.1), which placed little confidence in these models. Therefore, the objective of this study was to evaluate and predict the field performance of thermoplastics …

Alternative Supplementary Cementitious Materials In Ultra-High Performance Concrete, Craig Newtson, Seyedsaleh Mousavinezhad, Gregory J. Gonzales, William K. Toledo, Judit M. Garcia

Publications

Ultra-high performance concrete (UHPC) is an emerging material with remarkable mechanical and durability properties that contains large amounts of cementitious materials. Silica fume is a main supplementary cementitious material (SCM) in UHPC, however, it is more expensive than cement and other SCMs, so it is often substituted with inexpensive class F fly ash. Unfortunately, future availability of fly ash is uncertain as the energy industry moves toward renewable energy. Fly ash shortages create an urgent need to find cost-effective and environmentally-friendly alternatives for fly ash. This study investigated replacing cement, fly ash, and silica fume in UHPC mixtures with ground …

A Deep Learning Tool For The Assessment Of Pavement Smoothness And Aggregate Segregation During Construction, Mostafa Elseifi, Ramchandra Paudel, Md Tanvir Ahmed Sarkar, Hossam Abohamer, Nirmal Dhakal

Data

Pavement construction monitoring and quality assurance (QA) practices are mostly based on costly, discrete, and destructive methods. Most quality assurance programs are based on pavement construction procedures encompassing in-situ coring for layer thickness determination, density measurements, laboratory testing to measure volumetric properties, and smoothness measurements in case of the availability of a profiler. The main objective of this study was to develop a machine learning-based classifier for predicting pavement roughness and aggregate segregation based on digital image analysis, image recognition, and deep learning machine models. The developed Convolution Neural Networks (CNN) models were trained, tested, and validated using 600-pavement surface …

Using Rice Husk Ash (Rha) As Stabilizing Agent For Problematic Subgrade Soils And Embankments, Zahid Hossain, Rifat Bulut, Fares Tarhuni, Hussein Al-Dakheeli

Data

Arkansas produces the most of the rice in the United States. About 20% of poddy is rice husk (RH), which is burnt under controlled conditions to produce rice rusk ash (RHA). The RHA is considered an environmental hazard and a significant challenge for rice millers. However, RHA is rich in pozzolanic material, which is mainly silica. In this study, RHA is used to stabilize poor soils. Another commonly used stabilizer, hydrated lime (HL), has also been evaluated for comparison purposes. Thus, this study aimed to determine the optimum percentages of RHA, HL, or a combination of these two agents by …

Performance Monitoring Leveraging Advanced Ai Technique With Cnn, Suyun Ham Ph.D, Stefan Romanoschi, Yin Chao Wu, Dafnik Saril Kumar David, Sanggoo Kang

Publications

The main goal of this project is to study and develop a reliable nondestructive testing (NDT)-based structural performance prediction model framework leveraging the advanced machine learning convolutional neural network (CNN) technique and rapid crack evaluation system. There are two steps of application CNN technique in this project: 1) the first step is to identify delamination, noise, and the unexpected signal produced by the existing damage identification algorithm to improve the accuracy of NDT results. The input image or training data of NDT data for CNN is comprehensively studied with several features, such as the duration of the signal, the starting …

Increasing Bridge Durability And Service Life With Lidar Enhanced Unmanned Aerial Systems (Uas), Fernando Moreu, Mahsa Sanei, Chris Lippitt

Data

Bridge construction inspections require quantitative measurements and location information. The conventional approach is visual inspection, which in general, is rather time-consuming, expensive due to traffic closure, subjective, and needs special access. Therefore an automated rebar layout detection algorithm was developed to quickly extract quantitative rebar layout information from the LiDAR data. This systematic method can automatically cluster the bridge elements from a 3D point cloud by using LiDAR-equipped UAS data collection and unsupervised machine learning techniques. A new automated inspection system using a LIDAR-equipped UAS can eventually if developed and tested be more reliable as well as less expensive. In …

Performance Monitoring Leveraging Advanced Ai Technique With Cnn, Suyun Ham Ph.D, Stefan Romanoschi, Yin Chao Wu, Dafnik Saril Kumar David, Sanggoo Kang

Data

The main goal of this project is to study and develop a reliable nondestructive testing (NDT)-based structural performance prediction model framework leveraging the advanced machine learning convolutional neural network (CNN) technique and rapid crack evaluation system. There are two steps of application CNN technique in this project: 1) the first step is to identify delamination, noise, and the unexpected signal produced by the existing damage identification algorithm to improve the accuracy of NDT results. The input image or training data of NDT data for CNN is comprehensively studied with several features, such as the duration of the signal, the starting …

Development Of Distress Index Prediction Models For Rehabilitation Treatments In Louisiana Using Advanced Machine Learning Techniques, Momen R. Mousa, Marwa Hassan

Data

Performance prediction models are used by state agencies to predict future trends in distress indices, hence, determining the required maintenance and/or rehabilitation treatment as well as the deterioration rate and remaining pavement service life. However, most of these models are based on a limited number of parameters and cannot predict the performance distress indices reliably. Such limitation resulted in having, most of the time, a maximum prediction period of five years. As a solution and coping with the ever-increasing size of pavement data, machine learning techniques have become a promising alternative. The objective of this study was to develop a …

Covid-19 And Traffic Safety: Exploring Exposure, Crash Frequency And Severity, And Roadway And Network Design, Nicholas N. Ferenchak Ph.D

Publications

Early COVID-19 lockdowns in the first half of 2020 largely kept people at home, thereby reducing motor vehicle traffic levels. Theoretically, reduced traffic exposure should have resulted in reduced motor vehicle crashes. However, a variety of factors may have complicated this relationship. In order to better understand the impact of COVID-19 lockdowns on traffic safety outcomes, we explore fatalities, injuries, and total crashes before and during the lockdowns on both the national and state levels. We provide descriptive statistics and create negative binomial regressions exploring the role of vehicle, user, and built environment factors on traffic safety outcomes. Findings suggest …