Civil and Environmental Engineering Commons^™

Pedestrian Evacuation: Vulnerable Group Member Influence On The Group Leaders’ Decision-Making And The Impact On Evacuation Time, Terra Lynne Elzie

Computational Modeling & Simulation Engineering Theses & Dissertations

As pedestrian evacuations of buildings, outdoor venues, and special events occur, dynamic interactions between pedestrians and vehicles during egress are possible. To model pedestrian and vehicle evacuations, simulation models have evolved to incorporate more realistic crowd characteristics and behaviors to provide improved results. Past studies using modeling and simulation, specifically agent-based modeling, have explored pedestrian behaviors such as decision-making, navigation within a virtual environment, group formations, intra-group interactions, inter-group dynamics, crowd behaviors such as queuing and herding, and pedestrianvehicle interactions. These studies have led to relevant insights helpful to improving the accuracy of evacuation times for normal and emergency egress …

Data-Driven Framework For Understanding & Modeling Ride-Sourcing Transportation Systems, Bishoy Kelleny

Civil & Environmental Engineering Theses & Dissertations

Ride-sourcing transportation services offered by transportation network companies (TNCs) like Uber and Lyft are disrupting the transportation landscape. The growing demand on these services, along with their potential short and long-term impacts on the environment, society, and infrastructure emphasize the need to further understand the ride-sourcing system. There were no sufficient data to fully understand the system and integrate it within regional multimodal transportation frameworks. This can be attributed to commercial and competition reasons, given the technology-enabled and innovative nature of the system. Recently, in 2019, the City of Chicago the released an extensive and complete ride-sourcing trip-level data for …

Application Of Lanthanides In Wastewater Treatment And Water Reuse, George William Kajjumba

UNLV Theses, Dissertations, Professional Papers, and Capstones

Much of the world’s population feed on grains (wheat, rice, and corn). Corn is as sensitive as it is productive. This thirsty, fast-growing plant goes into thermal shock in drought. In 2014, California lost over $2.2 billion in crop production due to drought. The Horn of Africa (in 2011) and Sahel (in 2012) faced humanitarian disasters due to food and water scarcity. The higher frequency of climate change and the erratic nature of rain, combined with underlying economic and social vulnerabilities, has meant that food and water scarcity is here to stay. To improve food and water scarcity, water reclamation …

Contaminants Of Emerging Concern Behavior Within Water Renewal Facilities, Joshua C. Baker

Boise State University Theses and Dissertations

Emerging constituents (ECs), also called contaminants of emerging concern (CECs) are defined by the United States Environmental Protection Agency (U.S.EPA) as: “…pharmaceuticals and personal care products.” This also includes per- and polyfluoroalkyl substances (PFAS), which are used in waterproofing and non-stick cooking products. It is highly likely that regulatory limits will be placed on many ECs because they tend to accumulate in the environment and biological tissues with little to no transformation. ECs pose a threat to the ecological systems of our nation and the fundamental need for clean water by all life on earth. Clean water is essential for …

Evaluating Plant Uptake Of 4,4'-Methylenedianiline, Jeff Wight

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

4,4’-Methylenedianiline (MDA) is an important industrial chemical used primarily in the production of polyurethane. It is toxic and a suspected human carcinogen. Polyurethane is used in a wide variety of applications such as furniture cushioning, coatings, adhesives, sealants, and elastomers. Polyurethane in soil may degrade and release MDA. This is concerning due to some models predicting a high potential for MDA to be taken up by plants and stored in edible tissue, creating a possible route of exposure for humans and animals. In this project, the potential for MDA to be take up by plants was investigated in order to …

Improving Flood Inundation And Streamflow Forecasts In Snowmelt Dominated Regions, Irene Garousi-Nejad

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

Much effort has been dedicated to expanding hydrological forecasting capabilities and improving understanding of the continental-scale hydrological modeling used to predict future hydrologic conditions and quantify consequences of climate change. In 2016, the National Oceanic and Atmospheric Administration’s (NOAA) Office of Water Prediction implemented the National Water Model (NWM) to provide nationally consistent, operational hydrologic forecasting capability across the continental U.S. The primary goal of this research was to develop hydrological tools that include modeling of flood inundation mapping and snowmelt contributions to river flow in snowmelt-dominated regions across the Western U.S. This dissertation first presents terrain analysis enhancements developed …

Advancing Data Collection, Management, And Analysis For Quantifying Residential Water Use Via Low Cost, Open Source, Smart Metering Infrastructure, Camilo J. Bastidas Pacheco

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

Urbanization, climate change, aging infrastructure, and the cost of delivering water to residential customers make it vital that we achieve a higher efficiency in the management of urban water resources. Understanding how water is used at the household level is vital for this objective.Water meters measure water use for billing purposes, commonly at a monthly, or coarser temporal resolutions. This is insufficient to understand where water is used (i.e., the distribution of water use across different fixtures like toilets, showers, outdoor irrigation), when water is used (i.e., identifying peaks of consumption, instantaneous or at hourly, daily, weekly intervals), the efficiency …

Evaluation Of Human And Ecological Water Management Tradeoffs In A Seasonal Watershed With Spatially-Distributed Demands, Jesse Lee Rowles

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

River managers must balance the needs of the ecosystems that rely on the river by leaving water instream, often while also considering human demands. It is especially difficult to balance these water needs in systems that are highly seasonal and have no instream storage (e.g., reservoirs) since water cannot be stored for use throughout the year. An example of a watershed that has both of these characteristics is the South Fork Eel River in coastal northern California. In order to evaluate tradeoffs between human and ecological demands in this system, a water allocation model with water management scenarios and environmental …

Assessing The Role Of Magnetite In Municipal Wastewater Treatment, Patricia Ayaa

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

Some municipal wastewater treatment (MWWT) facilities have adopted magnetite in their treatment processes through a technology called BioMag® to meet effluent regulatory requirements for total nitrogen and total phosphorus. However, there is limited information on the mechanisms and efficiency of magnetite in the removal of nitrogen (N) and phosphorus (P) from wastewater. This research, therefore, estimated its effectiveness in the removal of these nutrients, with a case study of the Marlay-Taylor Water Reclamation Facility in Maryland. The intervention analysis model was used, but a new forecasting approach to the model was proposed to fit the data in this study and …

Advances In Process Understanding And Methods To Support River Temperature Modeling In Large Regulated Systems, Bryce A. Mihalevich

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

River temperatures play a key role in determining the suitability of habitat for aquatic ecosystems. While thermal regimes are influenced by many factors, flow and temperature patterns in large rivers are often shaped by water development. As such, water management associated with large reservoirs and diversions have also altered aquatic ecosystems. As climate change introduces new climate and hydrologic patterns, the decisions water managers make to address changes in runoff may further impact aquatic ecosystems. This calls for robust modeling tools that can predict river and reservoir temperature responses to water management decisions over large regions. However, highly variable topography …

Evaluation Of Hydrograph Separation Techniques With Uncertain End-Member Composition, Eileen Page Lukens

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

Changes to precipitation and temperature occurring as a result of climate change can influence water sources (such as groundwater or snowmelt) that contribute to stream flow in a watershed. This is significant, as shifts in the amount of water coming from different water sources can shape watershed management decisions. One technique often used to investigate changes in water sources is hydrograph separation, a mathematical tool that allows for the quantification of the amount of water that came from different water sources. However, it can be difficult to perform hydrograph separations in remote watersheds as there may be insufficient infrastructure, i.e. …

Using Experiments, 3d Scanning, And Computational Fluid Dynamics To Analyze Variance In Minor Loss Coefficients, Adam B. Pack

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

As water moves through pipes, it loses energy. The energy losses are due to friction and the minor losses associated with various pipe fittings, which change the direction of flow. Pipe bends, or elbows, are a common pipe fitting and a significant source of energy loss in piping systems. This research was performed to better understand the variability of energy loss due to different pipe elbow designs and to investigate methods to replicate these losses using numerical simulations.

Eight pipe elbows, all 3-inch, 90-degree, schedule 40 PVC elbows that vary by radius of curvature and/or end connection type, were tested …

Exploring The Effects Of Upstream Disturbances On Elbow Meter Performance With Numerical Modeling Applications, Riley D. Manwaring

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

Physical data was collected for a 6-in. long-radius elbow meter in order to determine the effects of certain upstream disturbances on its metering performance. Discharge coefficients are calculated for each of the three tested configurations at various installation distances between the upstream disturbance and the elbow meter. Computational Fluid Dynamics (CFD) software was used to determine which turbulence models most accurately modeled the observed physical results in order to provide a base from which to model the effects of additional upstream disturbances not modeled in this study.

Long Term Feasibility Of Inductive Power Transfer Systems Embedded In Concrete Pavement Panels, Nathan J. Raine

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

Electric vehicles (EVs) have a variety of issues that prevent widespread acceptance. Range limitations, charging times, and lack of accessible locations are all viable concerns when considering the future of EVs. This research seeks to address lack of useable infrastructure and battery life by embedding wireless chargers directly into roadway concrete. These embedded chargers would make it possible to charge an EV while it is in transit, addressing many concerns associated with owning an EV.

Embedding a wireless charger, or Inductive Power Transfer System (IPTS), can cause premature failure in the concrete. To determine the long-term feasibility of the technology, …

Factors Affecting United States Geological Survey Irrigation Freshwater Withdrawal Estimates In Utah, J. Levi Manley

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

Utah is, on average, one of the driest states in the United States, second only to Nevada, and drier conditions are projected. Irrigation is the largest water user in the state, representing about 80% of the total freshwater withdrawn each year. Withdrawals are obtained from sources like reservoirs or streams, or underground water from wells and springs, and supplied for use. The United States Geological Survey, a reputable federal science agency, has provided irrigation freshwater withdrawal estimates every five years since 1950. Understanding what factors affect irrigation withdrawals can better inform water resource planning to reduce withdrawals and conserve surface …

Detailing Of Carbon Fiber Reinforced Polymer Anchorage For Shear Strengthening, Paul Joseph Ryan

Theses and Dissertations

Carbon Fiber Reinforced Polymers (CFRP) have increased in popularity in the repair and strengthening of reduced shear capacity of concrete bridges. Significant design challenges arise when using CFRP to repair or strengthen bridge girders as the top faces of girders are in contact with decking (i.e. the members cannot be fully wrapped). A full wrap laminates all faces with CFRP and ensures that the failure mode is governed by shear fracture combined with, or followed by, fracture of the CFRP. The Florida Department of Transportation (FDOT) Structural Design Manual permits three-sided wrapping schemes (i.e. U-wraps), but the CFRP must be …

Quantifying Responsiveness In The Vaccine Industry To Evaluate And Improve Pandemic Response, Connor Hill

Theses and Dissertations

In the wake of the pandemic Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) we can look at many aspects of the global response, including social, scientific, and governmental. Current research in the areas of vaccine development and manufacturing find the process of developing a new vaccine takes an especially long time and is unresponsive. Understanding the factors that influence responsiveness can help organizations be better prepared to address the needs of society should another pandemic strike. Responsiveness can be linked to product, process, and volume. The vaccine development and manufacturing process historically takes years to reach distribution for public use. …

Protecting Our Community From The Hidden Vulnerabilities Of Today’S Intelligent Transportation Systems, Shahab Tayeb

Mineta Transportation Institute

The ever-evolving technology interwoven into the transportation industry leaves it frequently at risk for cyber-attacks. This study analyzes the security of a common in-vehicle network, the Controller Area Network (CAN), standard in most vehicles being manufactured today. Like many other networks, CAN comes with inherent vulnerabilities that leave CAN implementations at risk of being targeted by cybercriminals. Such vulnerabilities range from eavesdropping, where the attacker can read the raw data traversing the vehicle, to spoofing, where the attacker can place fabricated traffic on the network. The research team initially performed a simulation of CAN traffic generation followed by hardware implementation …

Analyzing Vulnerabilities In The Northwest Arkansas Highway Network Using Mathematical Optimization, Brandon Jerome

Industrial Engineering Undergraduate Honors Theses

The highway and bridge network is a critical infrastructure that allows for the free transportation of citizens and enables truck-borne freight transportation. Disruption of this system could be caused by a terrorist attack, natural disaster, growth of population, required repairs and upgrades, or collapse caused by old age or malfunction. In the event of a disruption cities and regions can experience increased traffic and supply chain shortages, thus causing cascading effects throughout surrounding areas. With this motivation, we develop a network interdiction optimization model to identify a limited subset of roads that, if disrupted, causes the greatest increase in the …

Investigating The Resilience Of Accessibility To Emergency And Lifesaving Facilities Under Natural Hazards, Chih-Hao Wang, Na Chen

Mineta Transportation Institute

Studying accessibility, including the resilience of city transportation networks, is critical to understand how these networks influence individuals’ mobility and lives. This study developed an analytical research framework to examine the resilience of accessibility to emergency and lifesaving facilities under the threats of natural hazards such as earthquakes and wildfires. With a cumulative-opportunity approach, the authors measured accessibility by counting emergency and lifesaving facilities (including parks, schools, hospitals, roads, and fire stations) that can be reached by driving at the census tract level in San Fernando Valley, CA. With the calculated accessibility, the authors run simulations to collect data showing …

Semi-Annual Progress Report #10, Missouri University Of Science And Technology. Inspire - University Transportation Center

Semi-Annual Progress Reports

No abstract provided.

Mechanical Behavior Of Clay Soil Stabilized With Fly Ash And Bottom Ash, Soewignjo Agus Nugroho, Azra Zulnasari, Ferry Fatnanta, Andius Dasa Putra

Makara Journal of Technology

Soil is one of the most important aspects of an infrastructure given its functions of receiving and holding structural loads. However, not all soils have good physical and mechanical properties. To overcome those conditions, stabilization of the soil is practiced to meet the technical requirements. This study aims to determine the behavior of high plasticity clay stabilized with lime, fly ash, and bottom ash. These additives can be used as a stabilizing agent to increase soil strength. The percentage of additives varied from 5%–25% then mixed with clay and were tested through the (Unconfined Compression Strength (UCS) test. The UCS …

Enhancement Of Biogas Production Through Solid-State Anaerobic Co-Digestion Of Food Waste And Corn Cobs, Lukhi Mulia Shitophyta, Anisa Salsabila, Firanita Angraini Putri, Siti Jamilatun

Makara Journal of Technology

Although biogas has been primarily produced through liquid anaerobic digestion, this method leads to the floating and stratification of fibers and non-homogeneous mixing, which can reduce the biogas yield. Alternatively, biogas can be produced by the solid-state anaerobic digestion (SS-AD) of organic material with a high solid content, such as corn cobs. We investigated the co-digestion of food waste and corn cobs as a biomass feedstock for SS-AD in biogas production. We measured the effects of the total solid (TS) content, percentage of food waste, and reduction in volatile solids (VS), from which we determined its appropriate kinetic model. We …

Control Strategy For Solar Energy-Saving Lamps For Optimized Energy Utilization And Sustainability Of Operation Durability: Indonesia Case, Burhanuddin Halimi, Agus Purwadi, Nana Heryana

Makara Journal of Technology

To solve the electrification ratio issue, the Indonesian government has promoted the use of solar energy-saving lamps. This study proposes a control strategy that adopts current reference time-based profiling for solar energy-saving lamps. For optimal energy consumption, the current reference profile is determined according to users’ daily energy requirements. From the aspect of user comfort, a gradual step reference profile is also introduced to provide a subtle change in lighting intensity level. The proposed control strategy can minimize energy consumption and optimize the operation durability of the system. The concept is verified by simulating four scenarios, the results of which …

Structural Health Monitoring: From Virtual Shakers To Machine Learning, Ahsan Kareem

Abbett Distinguished Seminar Series

Structural health monitoring (SHM) is a critical means of assessing the performance of aging civil infrastructure. Earlier studies used heavy dynamic shakers to assess the dynamics of structures, which are unwieldy and reliance has been shifted to ambient vibration of structures to extract dynamic features. This study introduces a “virtual shaker” concept that effectively replaces the physical shaker and provides all the desired features for SHM. Examples are provided along with an App that facilitates the use of this concept to identify dynamic features. A traditional structural health monitoring (SHM) operation requires a wired system, which is often termed “hub …

Regularized Inversion Of Aerosol Hygroscopic Growth Factor Probability Density Function: Application To Humidity-Controlled Fast Integrated Mobility Spectrometer Measurements, Jiaoshi Zhang, Yang Wang, Steven Spielman, Susanne Hering, Jian Wang

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Aerosol hygroscopic growth plays an important role in atmospheric particle chemistry and the effects of aerosol on radiation and hence climate. The hygroscopic growth is often characterized by a growth factor probability density function (GF-PDF), where the growth factor is defined as the ratio of the particle size at a specified relative humidity to its dry size. Parametric, least-squares methods are the most widely used algorithms for inverting the GF-PDF from measurements of the humidified tandem differential mobility analyzer (HTDMA) and have been recently applied to the GF-PDF inversion from measurements of the humidity-controlled fast integrated mobility spectrometer (HFIMS). However, …

Machine Learning-Based Bridge Load Posting Prediction, Sai Naga Sasi Aditya Bandaru

LSU Master's Theses

1600 (12%) of Louisiana's 13,000 bridges that allow the passage of people, goods, and services are load posted, meaning they are deemed incapable of securely carrying all legal loads. A machine learning framework for estimating the number of load-posted bridges within a regional bridge portfolio would be extremely valuable in the future for allocating essential resources during long-term planning. A framework of this type is necessary since a significant proportion of the bridges are load posted. Furthermore, deterioration due to aging and future increases in legal loads can compound this situation. In this setting, there is a lack of data-driven …

Machine Learning-Based Bridge Load Posting Prediction, Sai Naga Sasi Aditya Bandaru

LSU Master's Theses

1600 (12%) of Louisiana's 13,000 bridges that allow the passage of people, goods, and services are load posted, meaning they are deemed incapable of securely carrying all legal loads. A machine learning framework for estimating the number of load-posted bridges within a regional bridge portfolio would be extremely valuable in the future for allocating essential resources during long-term planning. A framework of this type is necessary since a significant proportion of the bridges are load posted. Furthermore, deterioration due to aging and future increases in legal loads can compound this situation. In this setting, there is a lack of data-driven …

Powering A Sustainable Electric Vehicle Future, Harmony Ruth, Jordan Brickman

Undergraduate Research Symposium Posters

Electric vehicle sales account for roughly 20% of total sales world wide and are projected to be 80% by 2050. China's electric vehicle market holds a 13.3% market share. China exported 550,000 electric vehicles in 2021. China represents a 54% share of the world's coal consumption as of 2020. Why study China on this issue? China is a major player in the World Economy.

Using Cost Simulation And Computer Vision To Inform Probabilistic Cost Estimates, Shu Jing Ding

Department of Construction Engineering and Management: Dissertations, Theses, and Student Research

Cost estimating is a critical task in the construction process. Building cost estimates using historical data from previously performed projects have long been recognized as one of the better methods to generate precise construction bids. However, the cost and productivity data are typically gathered at the summary level for cost-control purposes. The possible ranges of production rates and costs associated with the construction activities lack accuracy and comprehensiveness. In turn, the robustness of cost estimates is minimal. Thus, this study proposes exploring a range of cost and productivity data to better inform potential outcomes of cost estimates by using probabilistic …