Shm For Incipient Buckling Detection In Overloaded Structures Using Nonlinear System Identification Algorithms On Redundant Data Sets,
2026
Michigan Technological University
Shm For Incipient Buckling Detection In Overloaded Structures Using Nonlinear System Identification Algorithms On Redundant Data Sets, Padmanabh Shridhar Desai
Dissertations, Master's Theses and Master's Reports
Structural health monitoring (SHM) detects and characterizes damage to predict failure, but failures such as buckling, which are not predicated on traditional damage modalities, are harder to detect. Direct load measurements are costly and difficult to implement (especially for dead loads) as they require copious numbers of sensors, which must be installed before loading is present. Vibration-based detection is a good alternative because it can infer global structural characteristics with relatively few sensors. This dissertation presents an SHM approach for detecting incipient buckling in structures under excessive loads based on non-linear models fit from measurements of small lateral vibrations due …
Sustainable Nutrient Management Opportunities For Small Communities In The U.S. With Lagoon Wastewater Treatment Systems,
2026
West Virginia University
Sustainable Nutrient Management Opportunities For Small Communities In The U.S. With Lagoon Wastewater Treatment Systems, Denis Sigei Ruto
Graduate Theses, Dissertations, and Problem Reports (ETD)
Lagoon wastewater treatment systems are among the most widely used secondary treatment technologies serving small and rural communities in the United States due to their low capital and operating costs, minimal energy requirements, and operational simplicity. While effective for removal of organic matter and suspended solids, most lagoon systems were not designed to achieve advanced nutrient removal. As regulatory priorities increasingly emphasize control of total nitrogen and total phosphorus to protect receiving waters and public health, lagoon-dependent communities face growing compliance challenges. These challenges are exacerbated by aging infrastructure, limited technical capacity, financial constraints, and insufficient infrastructure data, highlighting the …
Workshop Outcomes Report: 2nd International Workshop On Seismic Resilience Of Arctic Infrastructure And Social Systems,
2026
University of New Hampshire - Main Campus
Workshop Outcomes Report: 2nd International Workshop On Seismic Resilience Of Arctic Infrastructure And Social Systems, Majid Ghayoomi, Daniela Morganti
Faculty Publications
The report provides an overview of the second international workshop on Seismic Resilience of Arctic Infrastructure and Social Systems. The report discusses agenda, workshop activities, interdisciplinary working groups, and results. It ends with several strategic questions and investigation plans that were developed as part of the workshop activities.
Smart Dynamic Concrete: Effect Of Coarse Aggregate Size Distribution On Fresh, Mechanical And Durability Properties,
2026
Department of Civil Engineering, JB Institute of Engineering & Technology (UGC Autonomous), Hyderabad, India
Smart Dynamic Concrete: Effect Of Coarse Aggregate Size Distribution On Fresh, Mechanical And Durability Properties, Venu Sipelli, Kamineni Aditya, Shravya Sripadapu
Mansoura Engineering Journal
SDC is a self-flowing concrete that demonstrates improved material efficiency through optimized aggregate gradation. Unlike SCC, which relies on high powder content for improved flowability, SDC provides improved flowability by optimized aggregate gradation, making it a promising alternative to SCC. This paper presents the fresh, mechanical, and durability performance of M40-grade SDC using OPC 53 grade cement, GGBS, CRF, and polycarboxylate-based superplasticizer. A constant cementitious content of 470 kg/m³ and water–cement ratio of 0.38 were maintained. The fresh, mechanical, and durability performances of SDC using three types of coarse aggregate combinations, namely, 70% 10 mm + 30% 20 mm, 75% …
Roadway Runoff Impacts To Trout Streams Studies For Ms4 Permit,
2026
Georgia Southern University
Roadway Runoff Impacts To Trout Streams Studies For Ms4 Permit, Jobayed Hossain Badhan
College of Graduate Studies: Theses & Dissertations
Roadway runoff from Georgia Department of Transportation (GDOT) highway infrastructure poses measurable, but temporally constrained threats to cold-water trout ecosystems in northern Georgia. This study investigates temperature and dissolved oxygen (DO) dynamics in three secondary trout streams receiving GDOT roadway discharges, with the primary objective of evaluating compliance with Georgia Rule 391-3-6-.03(6)(ii),(v) under the Municipal Separate Storm Sewer System (MS4) permit framework. Field monitoring was conducted from April 2024 through October 2025 across two consecutive summer seasons using a tiered, multi-instrument approach: YSI ProDSS handheld grab sampling provided regulatory-grade reference measurements; HOBO MX-801 optical DO dataloggers recorded continuous 5-minute-interval temperature …
Feasibility Study Of Concurrent Removal Of Organics And Ammonium Using An Iron Dosed Upflow Anaerobic Sludge-Blanket Bioreactor,
2026
West Virginia University
Feasibility Study Of Concurrent Removal Of Organics And Ammonium Using An Iron Dosed Upflow Anaerobic Sludge-Blanket Bioreactor, Morgan Elizabeth Amos
Graduate Theses, Dissertations, and Problem Reports (ETD)
Aerobic microbial reactions have commonly been utilized in treatment processes to oxidize and remove organics and nitrogen through aeration, using processes such as nitrification that converts ammonium (NH4+) into nitrite (NO2-) and nitrate (NO3-). Anoxic microbial reactions like denitrification often require organic compounds as an external source to chemically reduce the oxidized nitrogen (NO3- and NO2-) to nitrogen gas (N2) for nitrogen removal from the liquid phase. These mainstream processes have a high chemical cost and energy footprint which results in an increased release …
Concord Public Transportation Improvement Project,
2026
University of New Hampshire, Durham
Concord Public Transportation Improvement Project, Jacob Holt
Honors Theses and Capstones
The capital city of Concord, New Hampshire, has been served by Concord Area Transit (CAT) since 1989. Despite continued population growth and economic development within the city, CAT’s fixed route bus system has remained unaltered since 2011. The purpose of this project is to rework the CAT system to provide service that better aligns with Concord resident’s current needs. A public survey was conducted to gather data regarding Concord resident’s needs, habits, and perception of the existing system, which was used in the development of the revised system. The project includes suggestions for both system-wide and route-specific modifications. Key changes …
Probability Of Detection For Corrosion-Induced Mass Loss And Yield Strain In Metal Structures Using Fe-C Coated Long Period Fiber Gratings Sensors And Electroresistive Strain Gauges,
2026
Missouri University of Science and Technology
Probability Of Detection For Corrosion-Induced Mass Loss And Yield Strain In Metal Structures Using Fe-C Coated Long Period Fiber Gratings Sensors And Electroresistive Strain Gauges, Ying Zhuo
Doctoral Dissertations
"Graphene-based, Fe-C coated long-period fiber grating (LPFG) sensors individually reveal a causal relation between LPFG wavelength change and Fe-C mass loss. Their correlation parameters vary significantly between the sensors mainly because hydrophobic multilayer graphene and graphene oxide make sensor fabrication inconsistent. This study explores MXene-based, Fe-C coated LPFG sensors due to MXene’s inherent hydrophilic property in the presence of surface functional groups such as hydroxyl and oxygen and the probability of detection (POD) for mass loss from Fe-C coated LPFG sensors when deployed at a fixed location. A novel fabrication process incorporating Piranha solution pretreatment is proposed to ensure uniform …
A Real-Time Autonomous Mobile Robotic System For Crack Detection And 3d Laser Profiling In Construction Using Two-Stage Deep Learning,
2026
Georgia Southern University
A Real-Time Autonomous Mobile Robotic System For Crack Detection And 3d Laser Profiling In Construction Using Two-Stage Deep Learning, Emmanuella Ogun
College of Graduate Studies: Theses & Dissertations
This thesis presents an autonomous mobile robotic system that integrates real-time visual crack detection with laser-based three-dimensional profiling for building inspection. The system coordinates SLAM-based navigation, deep learning perception, and manipulator-guided measurement within a unified ROS 2 framework, enabling scan-on-demand workflows where laser profiling occurs selectively at visually detected defect locations. The detection pipeline employs a two-stage architecture combining U-Net semantic segmentation with Pix2Pix residual refinement, achieving 73.9% mean intersection-over-union and 76.4% F1-score on the CrackSeg9k benchmark while maintaining 16 frames-per-second real-time throughput. Real-world validation demonstrated 95% detection success on 80 campus images under challenging conditions. The profiling subsystem utilizes …
Pile Setup Effects On Driven Piles In Southeastern Coastal States,
2026
Georgia Southern University
Pile Setup Effects On Driven Piles In Southeastern Coastal States, Peya Sharif
College of Graduate Studies: Theses & Dissertations
The resistance of driven piles typically increases with time after installation, a phenomenon known as pile setup. This behavior is primarily associated with the dissipation of excess porewater pressure and the progressive reconsolidation of soil surrounding the pile shaft, particularly it is observed in cohesive soils. Although several empirical and analytical models have been proposed to estimate pile setup, their practical implementation in foundation design remains limited due to uncertainties associated with soil conditions, pile geometry, resistance variability, and time dependent behavior. To address some of these uncertainties, this study collected 221 pile load test data at the End of …
Assessing Dissolved Organic Matter Sources And Dynamics In Urban Stormwater: Implications For Greenhouse Gases,
2026
Wilfrid Laurier University
Assessing Dissolved Organic Matter Sources And Dynamics In Urban Stormwater: Implications For Greenhouse Gases, Harper W. Schmalz
Theses and Dissertations (Comprehensive)
Stormwater management ponds (SWMPs) are important aspects of land-use planning and increasingly recognized as active sites of biogeochemical processing that influence carbon cycling; however, little research has investigated the controls on dissolved organic and dissolved inorganic carbon (DOC and DIC) within these systems. This thesis examined the processing and transformations of dissolved carbon between three compartments to support the development of a greenhouse gas (GHG) box-model for urban stormwater ponds, including SWMP sediment, surface water, and vegetation. The objective of this thesis was to assess the biogeochemical processes that govern the rate and transformation of DOC and DIC between these …
Prediction Of Maximum Local Scour Depth Due To Horizontal Jets Of Flushing Gate Using Artificial Neural Network,
2025
Department of Civil Engineering, Faculty of Vocational School, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia
Prediction Of Maximum Local Scour Depth Due To Horizontal Jets Of Flushing Gate Using Artificial Neural Network, Adhy Kurniawan, Muhammad Sulaiman, Agus Maryono, Bambang Agus Kironoto, Amalia Ula Hazhiyah
Makara Journal of Technology
Local scour is a serious concern for hydraulic engineers. To maintain the reservoir capacity, flushing accumulated sediment is necessary, resulting in a turbulent and scouring jet from the flushing gate. Predicting the maximum scour depth from these water jets is crucial for civil engineers. Despite many proposed equations, one have shown consistent applicability due to the complex nature of the process. Ensuring accurate prediction between hydraulic parameters and the geometry of the scour hole in prototype experiments remains a key issue. To address this issue, this paper examines the use of artificial neural network (ANN) analysis as a computing device …
Compression Forming Of Basic Oxygen Furnace Slag-Gypsum Blocks: Performance Enhancement And Environmental Assessment,
2025
Universiti Malaya
Compression Forming Of Basic Oxygen Furnace Slag-Gypsum Blocks: Performance Enhancement And Environmental Assessment, Fengyi Zhang
Student Works (2020-2029)
The construction industry plays a crucial role in global development but faces significant environmental challenges, particularly CO2 emissions from cement production. Gypsum blocks provide a sustainable alternative to traditional cement concrete blocks. However, the low mechanical strength and water resistance of gypsum materials limit the widespread adoption of gypsum-based materials in the construction industry. This study initially produced gypsum-based blocks using compression forming, adding supplementary cementitious materials (SCMs), and subjecting accelerated carbonation curing (ACC). It was found that compression forming addressed the shortcomings of traditional block manufacturing (high energy consumption and long production time), and the addition of SCMs generated …
Flood Prediction With Sentinel-1 Synthetic Aperture Radar From Hurricane Helene,
2025
Purdue University
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 …
An Integrated Multivariate Econometric Modeling Framework For Risky Driving Behavior Related Crashes: Evaluating Crash Risk And Severity Across Zones,
2025
Portland State University
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,
2025
Lipscomb University
Traffic Study, Kennedy Case, Koryn Harms, Min Kaung, Abel Assefa, Eli Lockert, Dj Church
Student Scholar Symposium
No abstract provided.
Gaylord Opryland Congestion Reduction,
2025
Lipscomb University
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,
2025
Lipscomb University
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,
2025
Lipscomb University
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 Photography-Based Gradation Feasibility Study For Streams And Rivers In Davidson County, Tn,
2025
Lipscomb University
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 …
