Civil and Environmental Engineering Commons^™

Use Of Alaçatı Stone Aggregate In Conventional And Self-Consolidating Concretes, Tahir Kemal Erdem

Journal of Sustainable Construction Materials and Technologies

Alaçatı stone or Alapietra stone is widely used mostly for building cladding. However, its production and use in the construction sites generate high amounts of waste (debris), causing environmental pollution in Çeşme which is a touristic district. This study investigated the reuse of Alaçatı stone as lightweight aggregate (LWA) in both conventional and self-consolidating concrete (SCC) mixtures. The concretes were prepared to have three different water-to-cement ratios (w/c), which were 0.38, 0.42 and 0.48. For each w/c, a conventional concrete mixture and two SCC mixtures with 60 or 70 cm slump flow were produced by varying the superplasticizer SP content. …

A Decision Support Model For Building Material And Component Reuse In The Context Of Circular Buildings, Havva Aksel

Journal of Sustainable Construction Materials and Technologies

Construction activities cause significant environmental impacts such as waste generation, pollution, resource consumption, and land use, which are expected to increase with global construction demands. To mitigate these environmental problems, the circular building occurs as an emerging concept depending on in the circular economy, which aims to minimize waste and redefine the “end-of-life” concept by reducing, reusing, recycling, and recovering materials. The reuse of building materials and components (BMCs) from existing structures represents a crucial strategy for achieving circularity in the built environment. Within this framework, design plays a key role. However, designing with reclaimed BMCs remains complex due to …

Integrated Chitosan-Based Coagulation And Microbubble Pre-Treatment For Improved Microplastic Fibre Removal From Water, Nimesha Thathsarani, Mohadeseh Najafi, Mehdi Khiadani, Muhammad Rizwan Azhar, Masoumeh Zargar

Research outputs 2022 to 2026

Microplastic fibres (MPFs) dominate treatment plant influents but are difficult to remove due to their morphology, composition and low density, limiting the effectiveness of coagulation flocculation pre-treatment. Integrating coagulation-flocculation with microbubble introduction offers a sustainable route to improve MPF removal, yet conventional inorganic coagulants often require high dosages, show strong pH dependence, and pose environmental risks. Chitosan is a biodegradable and non-toxic green alternative, but its application is limited due to its low solubility and pH sensitivity. In this study, two amphoteric derivatives of Chitosan have been successfully developed: CMC-CTA, produced by modifying carboxymethyl Chitosan (CMC) with 3-chloro-2-hydroxypropyl trimethyl ammonium …

Flood Prediction With Sentinel-1 Synthetic Aperture Radar From Hurricane Helene, Jingyu Xiao, Jessica Li

The Journal of Purdue Undergraduate Research

Floods are the most common natural disaster globally, causing thousands of deaths every year. Timely and accurate flood forecasts are crucial for developing early warning systems, evacuation plans, and effective strategies to enhance community resilience. Soil moisture is an important parameter in flood forecasting. Unfortunately, existing soil moisture sensor networks and optical remote sensing–based techniques for soil moisture estimation lack the spatial resolution needed for accurate flood forecasting. This study presents an approach for flood prediction using Sentinel-1 C-band synthetic aperture radar (SAR) data. SAR offers high spatial resolution and operates day and night under all weather conditions, making it …

From Test Tracks To Carbon Tracks: Evaluating The Carbon Emissions Of Autonomous Vehicle Development, Sarah Deniz

The Journal of Purdue Undergraduate Research

Autonomous vehicle (AV) development has seen a sharp increase in the past 10 years, and there is a significant energy cost of training AVs to meet safety regulations. The training process includes virtual simulation training as well as physical training on public roads and within private testing facilities. The high energy expenditure associated with AV training has a respective environmental cost that can be quantified as a lifetime “carbon debt” of released carbon emissions. The environmental sustainability of AVs has not been thoroughly studied in currently available literature, and this paper showcases a model that quantifies the total “carbon debt” …

Evaluation And Calibration Of Coupled Low-Cost Particulate Matter Sensors, Tyler Cargill

McKelvey School of Engineering Graduate Student Theses & Dissertations

Low-cost sensors (LCS), if used appropriately, are useful instruments to elucidate human exposure to particles suspended in the air (i.e. particulate matter, PM). Characterizing this exposure is crucial, as exposure to PM2.5 (i.e. particles with aerodynamic diameter ≤ 2.5 μm) negatively affects the respiratory, cardiovascular, and other organ systems and is the leading environmental burden for global mortality. Similarly, exposure to particles with aerodynamic diameters greater than 2.5 μm and less than or equal to 10 μm, here forth termed as PMCoarse, is known to cause health ailments for the upper respiratory system. This dissertation focuses on the MODULAIRTM-PM (MOD-PM), …

Global Carbon Mitigation From Bacnet Adoption In Commercial Building Automation Systems 1995-2030, Fei Han, Weiwei Mo

Faculty Publications

Building Automation Systems (BAS) play a critical role in improving energy efficiency in commercial buildings, yet their long-term carbon mitigation potential has not been comprehensively quantified at a global scale. As the dominant open communication standard enabling interoperability in modern BAS, BACnet has played a central role in expanding automation adoption worldwide. This study develops a cohort-based modeling framework to estimate historical (1995–2025) and projected (2026–2030) CO₂e mitigation from BACnet-based BAS adoption across four regions: the United States, Canada, Europe, and the Rest of World (ROW). The model combines regional commercial floor area, baseline electricity and natural-gas energy intensity, BAS …

An Integrated Multivariate Econometric Modeling Framework For Risky Driving Behavior Related Crashes: Evaluating Crash Risk And Severity Across Zones, Pabitra Kumar Roy

Dissertations and Theses

Rapid advancements in crash modeling have yet to fully integrate multiple behavior-driven crash types and their severity outcomes within a single, scalable framework, specially in a way that captures the sequential nature of these behaviors where one risky action may amplify another. This study proposed an integrated multivariate econometric framework to jointly model crash frequency and severity outcomes for three major behaviorally driven crash types: alcohol-related, distraction-related, and aggressive-driving-related crashes. Specifically, using Oregon's 2022 census block group-level crash data, we propose an Integrated Multivariate Negative Binomial – Generalized Ordered Probit Fractional Split (IMNB–GOPFS) model to analyze these dimensions simultaneously while …

Traffic Study, Kennedy Case, Koryn Harms, Min Kaung, Abel Assefa, Eli Lockert, Dj Church

Student Scholar Symposium

No abstract provided.

Nashville Bus System Efficiency, Koryn Harms

Student Scholar Symposium

Nashville’s recently approved “Choose How You Move” plan creates a dedicated funding source for transportation improvements in the city. A key component of the plan is to increase transit service throughout Nashville to make it more accessible and reliable. In order to optimize the use of the funding, an analysis of existing conditions would allow officials to locate and target specific areas in need of improvement. The aim of this research is to determine the efficiency of different bus routes in Nashville based on ridership and on-time rates. The analysis will focus on the eight primary bus routes in the …

Gaylord Opryland Congestion Reduction, Kennedy Case

Student Scholar Symposium

Lipscomb University’s College of Engineering is working collaboratively with Gaylord Opryland Resort and Convention Center to explore potential solutions to its traffic congestion problem, particularly during peak times such as the holiday season. This research aims to identify strategies that can alleviate congestion in the resort area. With over one million visitors during the holiday season each year and limited parking capacity, the traffic congestion poses a significant challenge to both operational efficiency and visitor experience. The primary objective of this research is to identify strategies that optimize parking usage, reduce congestion, and improve the overall visitor experience. Beginning with …

Green Roof, Elizabeth Fulton

Student Scholar Symposium

Green roofs, a concept dating back over 100 years, offer a sustainable solution to urban environmental challenges such as poor air quality, the urban heat island effect, and increased stormwater runoff. This study focuses on green roofs as an effective way to address these issues in cities like Nashville, which are experiencing rapid urbanization. By transforming rooftops into green spaces, green roofs can improve air quality, manage stormwater, and reduce urban heat, while also enhancing the aesthetic value of urban environments. The research explores the integration of green roofs, considering factors like substrate composition, plant selection, and environmental conditions. Key …

Smart Traffic Lights, Roa Ghanem

Student Scholar Symposium

Nashville is quickly growing, and as a result, traffic congestion is becoming a bigger challenge for commuters. Longer travel times and increased vehicle emissions are major concerns. This research examines how smart traffic lights can improve traffic flow and reduce congestion in the city. By analyzing peer-reviewed journal articles, this study explores how AI, IoT, and machine learning can optimize traffic signal timing in real time. In particular, simulation models illustrate how these technologies adapt dynamically to changing traffic patterns in cities similar to Nashville. Furthermore, this research compares the cost-effectiveness of smart traffic lights with other solutions, such as …

Ai In Construction, Samuel Gilbert

Student Scholar Symposium

No abstract provided.

Leed Certified Building Remodel And Addition, Ruth Fessehaye, Elizabeth Fulton, Roa Ghanem, Samuel C. Gilbert, Juan Henriquez-Hernandez, Jackson Stephens

Student Scholar Symposium

Engineering practices are increasingly adopting sustainable methods, with Leadership in Energy and Environmental Design (LEED) being a widely recognized standard. LEED ensures environmental health and efficiency in building projects. This project focuses on renovating an existing building and adding a warehouse for the PENCIL Foundation, a local non-profit. The design includes structural, mechanical, and HVAC drawings along with stormwater and indoor water use evaluations, and EPSC (Erosion Prevention and Sediment Control) plans. This project allowed Lipscomb University students to gain hands-on experience in client-based design while adhering to site regulations and ASHRAE standards. The project aims to achieve a Gold …

Ai Photography-Based Gradation Feasibility Study For Streams And Rivers In Davidson County, Tn, Nolen Ritzel, Lauren Baker

Student Scholar Symposium

Artificial Intelligence (AI) has demonstrated significant potential in engineering applications, specifically in soil gradation analysis using two-dimensional imagery. While studies have shown experimental success, AI-based soil gradation methods are not widely used in industry due to the lack of field research performed. Moreover, the current methodology is suitable but lacks advancement. The motivation behind the research was to aid in bridging this gap between experimental research and industry application by determining whether existing AI tools can and/or should be applied to bank soil in streams and rivers in the Greater Nashville Area. Several locations next to streams and rivers distributed …

Xibalbay, Guatemala Water Distribution System Design, Nolen Ritzel, Lauren Baker, Robert Trey Owen, Jessamine Reckard, Joelle Noble, Sara Berry-Brown

Student Scholar Symposium

This study presents the design and validation of a water distribution system for Xibalbay, Guatemala, in collaboration with the Peugeot Center and a local Guatemalan engineering firm, ADICAY. The project aimed to ensure reliable water access while maintaining residual pressures to the US standard, between 20 to 120 psi. The proposed design was a two pressure-zone system with pumps in series. A comprehensive hydraulic model was developed using WaterGEMS to analyze system pressures, pump performance, and tank levels under various conditions. Limited on-site testing was performed by this team due to construction delays and electricity issues at the time of …

Blast Resistant Structure, Juan Henriquez-Hernandez

Student Scholar Symposium

No abstract provided.

Evaluating Traffic Safety And Geometric Characteristics Using Machine Learning Ensemble Techniques: A Case Study Of Egyptian Rural Multi-Lane Divided Roads, Sania R. Elagamy, Ahmed N. Awaad, Usama E. Shahdah, Sherif M. El-Badawy, Marwa E. Elbany, Eman K. Ali

Mansoura Engineering Journal

Crash prediction models are essential for evaluating traffic safety by analyzing crash occurrence, frequency, or severity. Recently, machine learning techniques have gained prominence in statistical regression modeling and data analysis. This study assesses the effectiveness of machine learning in predicting crashes on Egyptian rural multi-lane divided roads using limited regional data. Supervised machine learning ensemble techniques were applied to predict crash-prone segments (classification) and estimate the total number of crashes per segment (regression). A comparative analysis aims to identify the most suitable method. The Synthetic Minority Oversampling Technique (SMOTE) addressed data imbalance, while K-means Clustering (KC) enhanced regression model accuracy, …

Evaluating The Impact Of Precast Vs. Cast-In-Place Concrete: A Life Cycle Assessment Of A Parking Garage In Nashville, Robert Trey Owen

Student Scholar Symposium

Concrete is one of the most widely used building materials in the construction industry, generating $64 billion in revenue, according to the Concrete Financial Insights Index. Given the material’s extensive use, construction professionals seek ways to optimize construction project budgets and schedules. Precast concrete, which is manufactured offsite and then transported to the project when needed, is a potential solution for these goals. This research aims to quantify the benefits of precast concrete over typical cast-in-place methods using a life cycle analysis for a parking garage structure located in Nashville Tennessee.

The data for the two materials will be compared …

Improving Home Affordability In Greater Nashville Through Construction Efficiency And Innovations, Nate Mclain

Student Scholar Symposium

Engineering Greater Nashville Home Affordability

Long Term Financial Analysis For Opry Mills Hotel And Resort, Eli Lockert

Student Scholar Symposium

In 2024 a Lipscomb Senior Design team completed a design project for the Opryland Hotel. The project, aimed at reducing humidity levels in the large greenhouse-like atrium and overall power usage, included multiple phases and equipment. This research continues the work of that team in an effort to determine whether the proposed system is a cost-effective approach. The research specifically evaluates the system outlined in the Opryland Final Design Report, completed in April of 2024. Using a holistic approach, this study employs life-cycle cost analysis (LCCA) to assess the economic feasibility of the proposed system through various empirical methods. A …

Recent Advancements Of Applied Robotics In Construction Project Management: A Life Cycle Perspective, Yifan Wang, Xiaoyu Hou, Tan Chen, Bo Xiao

Michigan Tech Publications

Robotic applications in the architecture, engineering, construction, and operation (AEC/O) industry have advanced rapidly, driven by innovations in sensing, artificial intelligence (AI), and automation. Yet, despite notable progress, existing studies are often confined to isolated systems, specific technologies, or individual project phases. This fragmentation has resulted in a diverse but disjointed body of knowledge, underscoring the need for a comprehensive synthesis that connects emerging practices into a holistic perspective. This study presents a systematic review of 315 peer-reviewed publications from 2016 to 2025, examined through a life cycle lens. A mixed-methods approach combining quantitative analysis with qualitative discussion is employed …

Comparative Analysis Of Machine Learning And Statistical Models For Railroad–Highway Grade Crossing Safety, Erickson Senkondo, Deo Chimba, Masanja Madalo, Afia Yeboah, Shala Blue

Civil and Architectural Engineering Faculty Research

Railroad-highway grade crossings (RHGCs) are critical points of conflict between roadway and rail systems, contributing to over 2000 crashes and 250 fatalities annually in the United States. This study applied machine learning methods (ML) techniques to model and predict crash frequency at RHGCs, using a comprehensive dataset from the Federal Railroad Administration (FRA) and Tennessee Department of Transportation (TDOT). The dataset included 807 validated crossings, incorporating roadway geometry, traffic volumes, rail characteristics, and control features. Five ML models—Random Forest, XGBoost, PSO-Elastic Net, Transformer-CNN, and Autoencoder-MLP—were developed and compared to a traditional Negative Binomial (NB) regression model. Results showed that ML …

Enhancing Aerosol Scattering Measurements: Performance Evaluation And Quality Assurance Of Airphoton Integrating Nephelometers In The Surface Particulate Matter Network, Kamlendra Singh Pathak

McKelvey School of Engineering Graduate Student Theses & Dissertations

Integrating nephelometers are key instruments for quantifying aerosol light scattering, a fundamental parameter governing the direct radiative effect of aerosols on climate and visibility, and for interpreting satellite observations of aerosol optical depth. The AirPhoton integrating nephelometer quantifies aerosol light scattering by measuring total scattering from the sample air and subtracting a clean-air reference that represents Rayleigh scattering, instrument wall scattering, and detector background noise. Measurement accuracy depends on rigorous calibration and regular performance evaluation to account for instrumental drift and environmental influences. This study presents a field performance evaluation of the AirPhoton integrating nephelometer within the global Surface Particulate …

Information Management / Bim Public Sector Adoption Business Case, Robert Moore

Tools

This business case sets out the value of adopting Information Management and BIM in line with ISO 19650 and the Irish CWMF. It shows how a structured approach to managing information across the asset lifecycle can improve collaboration, reduce risk and rework, and deliver measurable returns on investment. Evidence indicates that early adoption delivers the greatest benefit, supporting better cost control, compliance, and long-term asset performance. Overall, Information Management and BIM are positioned as essential enablers for efficient, sustainable, and future-ready delivery of public works

Morphological Test Of Areca Nut Fiber Ceramic Membrane Using Scanning Electron Microscopy Energy Dispersive X-Ray Mapping Spectroscopy, Amelia Marzain, Siti Umi Kalsum, Marhadi Marhadi, Ahmad Nabil Shahab

Journal of Materials Exploration and Findings

This study investigates the potential of ceramic membranes derived from areca nut fiber as a cost-effective and environmentally sustainable material for the removal of iron (Fe) and manganese (Mn) from groundwater. Two types of membranes were fabricated: one without activation and one chemically activated using 10% sodium hydroxide (NaOH). The morphological and elemental characteristics of both membranes were analyzed using Scanning Electron Microscopy (SEM) and Energy Dispersive X-ray (EDX) mapping. The concentrations of Fe and Mn before and after treatment were measured using Atomic Absorption Spectroscopy (AAS). The NaOH-activated membrane exhibited a more porous surface structure and higher oxygen content, …

Quantifying Biocrust Evaporation In Arid Lands By Combining Thermal Imaging And Lysimeter Measurements, Rebekah C. Magness

UNLV Theses, Dissertations, Professional Papers, and Capstones

Biological soil crusts (biocrusts) are miniature ecosystems of living organisms incorporated within the soil matrix and established in the topmost millimeters of the soil surface. Biocrust plays a critical role in the hydrologic processes in arid lands, yet the extent to which it increases or decreases evaporation remains unclear. To gain a better understanding of the impact of biocrust on evaporation compared to bare soil, I studied a cyanobacteria-dominated biocrust patch surrounded by bare soil atop a lysimeter in the Mojave Desert near Las Vegas, Nevada. Using high-resolution thermal imaging, and the known latent heat flux from the lysimeter, I …

Durability Of Alkali-Activated Concretes Under 5% Sulfuric Acid Environment, Celal Karabaş, Anıl Niş

Journal of Sustainable Construction Materials and Technologies

The investigation focused on the resistance to 5% sulfuric acid degradation of the alkali-activated concretes (AAC). The AAC was manufactured using a blended binder of 50% slag and 50% F-type fly ash. The AAC was activated using a blend of 14 M sodium hydroxide and sodium silicate, with a hydroxide-to-silicate ratio of 1/2,5. Six AAC were produced against a 5% sulfuric acid environment, varying the binder amounts (400–500–600 kg/m3) and activator-binder (A/B) ratios (0,45–0,55). The chemical resistance of AAC was evaluated by visual appearance, variation in weight and compressive strengths. The findings pointed out that more gypsum and higher weight …

Comprehensive Risk Assessment For Construction Site Managers In Kosovo: A Mixed-Method Approach, Muhamet Ahmeti, Besian Sinani

Journal of Sustainable Construction Materials and Technologies

This study developed and validated a hybrid ISO 31000:2018 Kosovo-compliant risk assessment framework tailored for construction site managers operating within transitional economies. The research employed audits of 20 ISO-certified contractors in Pristina, Kosovo, along with field observations, interviews, and quantitative risk matrices. The findings indicate a critical concentration of risk, with 70% of firms classified as "High" or “Very High” risk. The most prevalent hazards identified were working at height without collective protection, unprotected electrical systems, and manual handling of heavy materials. Regression analysis revealed that firms with a designated safety champion achieved significantly lower risk scores, whereas those with …