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2024

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Articles 1411 - 1440 of 1793

Full-Text Articles in Civil and Environmental Engineering

Feasibility Of Pile Driving Analyzer For Pile On Rock, Tanvir Ahmed Jan 2024

Feasibility Of Pile Driving Analyzer For Pile On Rock, Tanvir Ahmed

College of Graduate Studies: Theses & Dissertations

The purpose of the field verification of piles is to check whether piles can withstand design load. Two commonly used methods are high strain dynamic piles and static load testing. Static load testing is very time-consuming, requires heavy deadloads and much space, and doesn’t have stress monitoring advantages in piles. High strain dynamic has been employed as an alternative in this regard. Pile dynamic analyzer (PDA) is a device which is used during dynamic testing to analyze the measurements from the test. PDA calculates the geotechnical or structural resistance by using wave mechanics algorithm installed in it. Total driving resistance …


Geodatabase And Automation Code Used For Past And Real-Time Dynamic Landslide Hazard Maps In Eastern Kentucky, Nathaniel O'Leary, L. Sebastian Bryson, Jason M. Dortch Jan 2024

Geodatabase And Automation Code Used For Past And Real-Time Dynamic Landslide Hazard Maps In Eastern Kentucky, Nathaniel O'Leary, L. Sebastian Bryson, Jason M. Dortch

Earth and Environmental Sciences Research Data

We developed spatiotemporal landslide hazard maps (LHMs) using soil, hydrologic, and geomorphic parameters from the subaerial infinite slope factor of safety (FS) equation under unsaturated conditions. Soil properties were sourced from the NRCS WSS, while geomorphic variables were derived from a 1.5 m LiDAR-based DEM and ArcGIS Online. Soil moisture from Hydrus-1D, driven by precipitation and evapotranspiration (ET) data from Irrigation Manager, introduced temporal variability. Validation against known landslide sites demonstrated FS accuracy both spatially and temporally, despite some false positives. To reduce false positives and enhance slope stability representation, novel depth-to-bedrock (DTB) and soil root cohesion maps were incorporated …


Crowdsourced Geospatial Data Is Reshaping Urban Sciences, Xiao Huang, Siqin Wang, Tianjun Lu, Yisi Liu, Leticia Serrano-Estrada Jan 2024

Crowdsourced Geospatial Data Is Reshaping Urban Sciences, Xiao Huang, Siqin Wang, Tianjun Lu, Yisi Liu, Leticia Serrano-Estrada

Earth and Environmental Sciences Faculty Publications

For many years, urban sciences relied heavily on traditional, authoritative data sources. However, a paradigm shift has occurred recently with the advent of citizen-driven data contribution. This evolution in data acquisition for urban science is attributable to advancements in positioning and navigation technologies, widespread use of digital devices, the rise of Web 2.0, enhanced broadband communications, and refined data management techniques. The significance of crowdsourced geospatial data in the realm of urban sciences is now widely acknowledged. A diverse array of novel data sources has been increasingly gaining prominence. These include, but are not limited to, social media platforms, street …


A Multi-Life Cycle Assessment Of External Wall Insulation Strategies In An Irish Domestic Retrofit, Sara Carrigan, Patrick Daly, Alberta Congeduti Jan 2024

A Multi-Life Cycle Assessment Of External Wall Insulation Strategies In An Irish Domestic Retrofit, Sara Carrigan, Patrick Daly, Alberta Congeduti

Articles

European Union (EU) policy and initiatives are driving both building renovation and the uptake of low-embodied carbon and circular design in the construction sector. The European Performance of Buildings Directive (EPBD) recast (2021) introduces global warming potential (GWP) methodology, and the future state will likely be embodied carbon targets for which life cycle assessment (LCA) of buildings will be required. External wall insulation (EWI) will have an important role to play in meeting targets. In this context, this paper compares the carbon emission payoff of three alternative EWI strategies that address conventional, low-carbon and circular solutions to EWI respectively, in …


Classification Of Sow Postures Using Convolutional Neural Network And Depth Images, Md Towfiqur Rahman, Tami M. Brown-Brandl, Gary A. Rohrer, Sudhendu R. Sharma, Yeyin Shi Jan 2024

Classification Of Sow Postures Using Convolutional Neural Network And Depth Images, Md Towfiqur Rahman, Tami M. Brown-Brandl, Gary A. Rohrer, Sudhendu R. Sharma, Yeyin Shi

Department of Agricultural and Biological Systems Engineering: Faculty Publications

The United States swine industry reports an average preweaning mortality of approximately 16% where approximately 6% of them are attributed to piglets overlayed by sows. Detecting postural transitions and estimating sows’ time budgets for different postures are valuable information for breeders and engineering design of farrowing facilities to eventually reduce piglet death. Computer vision tools can help monitor changes in animal posture accurately and efficiently. To create a more robust system and eliminate varying lighting issues within a day including daytime/ nighttime differences, there is an advantage to using depth cameras over digital cameras. In this study, a computer vision …


Analysis Of Delta In-Out For Irish Natural Gas Distribution Network, Utkarsha Chavan, Anthony Reynolds, Michael Carr, L. Walsh Jan 2024

Analysis Of Delta In-Out For Irish Natural Gas Distribution Network, Utkarsha Chavan, Anthony Reynolds, Michael Carr, L. Walsh

Articles

This article investigates the issue of Unaccounted for Gas (UAG) in the natural gas distribution network of Ireland, focusing on the DeltaIO (i.e. the difference between the gas entering and leaving the network). The study applies the DeltaIO methodology developed for Italian distribution networks to Gas Networks Ireland (GNI), the sole Distribution System Operator (DSO) in Ireland. The analysis covers the period from 2013 to 2019 and provides insights into the magnitude and trends of UAG in the Irish context. The results show that GNI's DeltaIO ranges from 0.93% to 1.57%, with an average of 1.15%. Comparisons with large Italian …


การปรับปรุงรอยต่อสะพานเหล็กด้วยแผ่นพื้นเชื่อมต่อ, พัชรพล บัวทุม Jan 2024

การปรับปรุงรอยต่อสะพานเหล็กด้วยแผ่นพื้นเชื่อมต่อ, พัชรพล บัวทุม

Chulalongkorn University Theses and Dissertations (Chula ETD)

การออกแบบและก่อสร้างสะพานเหล็กในอดีตมักใช้รอยต่อขยายตัว (Expansion Joint) เพื่อรองรับการเคลื่อนที่จากอุณหภูมิ แต่เมื่อใช้งานไประยะเวลาหนึ่งจะเกิดการเสื่อมสภาพ ทำให้เกิดการกัดกร่อนและความเสียหายสะสม เนื่องจากน้ำและสิ่งสกปรกซึมผ่านลงสู่โครงสร้างส่วนล่างได้ง่าย ส่งผลให้เกิดการเสื่อมสภาพของโครงสร้างบริเวณรอยต่อ เป็นภาระในการบำรุงรักษาและกระทบต่ออายุการใช้งานสะพาน การใช้แผ่นพื้นเชื่อมต่อ (Link Slab) จึงเป็นทางเลือกในการเพิ่มประสิทธิภาพสะพานเหล็กเดิม โดยมีบริเวณไม่ยึดติด (Debonded Zone) เพื่อลดความเค้นภายใน ร่วมกับการใช้คอนกรีตสมรรถนะสูงพิเศษ (UHPC) ที่มีความแข็งแรงทั้งด้านแรงอัดและแรงดึง และทนต่อการยืดตัวหลังแตกร้าว ช่วยเพิ่มประสิทธิภาพให้แผ่นพื้นเชื่อมต่อยิ่งขึ้น การศึกษานี้พิจารณากรณีสะพานเหล็กช่วงพาดเดี่ยวปกติ 25 เมตร พบว่าเมื่อใช้ UHPC กำลังอัด 110 MPa สามารถเปลี่ยนรอยต่อสะพานเป็นแผ่นพื้นเชื่อมต่อได้ต่อเนื่อง 4 ช่วงพาด เพิ่มระยะห่างรอยต่อขยายตัวจาก 25 เมตรเป็น 100 เมตร ผลการวิเคราะห์โครงสร้างพบว่าแผ่นพื้นเชื่อมต่อที่ใช้วัสดุ UHPC ช่วยลดการเสียรูปโดยภาพรวมของสะพานจากน้ำหนักบรรทุกและการเปลี่ยนแปลงอุณหภูมิ อีกทั้งยังสามารถออกแบบเพื่อลดขนาดและปริมาณเหล็กเสริมลงได้ ดังนั้น การเปลี่ยนรอยต่อสะพานเป็นแผ่นพื้นเชื่อมต่อจึงช่วยเพิ่มประสิทธิภาพในการรับแรง ลดต้นทุนบำรุงรักษาในระยะยาว อย่างไรก็ตามพบว่าอาจทำให้ฐานรองรับสะพานบางตำแหน่งต้องรับแรงเพิ่มขึ้นอย่างมีนัยสำคัญ ผู้ออกแบบจึงควรพิจารณาปรับเปลี่ยนฐานรองรับให้เหมาะสมกับภาระที่เพิ่มขึ้นด้วย


Evaluating The External Human-Machine Interface Of Autonomous Vehicles On Pedestrian Safety At Mid-Block Crossings: A Virtual Reality-Enabled Simulation Study, Zizheng Yan, Hong Yang, Junqing Wang Jan 2024

Evaluating The External Human-Machine Interface Of Autonomous Vehicles On Pedestrian Safety At Mid-Block Crossings: A Virtual Reality-Enabled Simulation Study, Zizheng Yan, Hong Yang, Junqing Wang

Kentucky Transportation Center Presentations

No abstract provided.


A Unified Framework For Calculation Of Surrogate Safety Metrics For Autonomous Vehicles In Work Zones, Marcus Putz, Sean Brennan Jan 2024

A Unified Framework For Calculation Of Surrogate Safety Metrics For Autonomous Vehicles In Work Zones, Marcus Putz, Sean Brennan

Kentucky Transportation Center Presentations

No abstract provided.


Multivariate Model Of Road Crashes For Vulnerable Users, Jonathan Agüero-Valverde, Darío Vargas Aguilar Jan 2024

Multivariate Model Of Road Crashes For Vulnerable Users, Jonathan Agüero-Valverde, Darío Vargas Aguilar

Kentucky Transportation Center Presentations

No abstract provided.


Equitable Roadways: Analyzing Rural-Urban Road Safety In Nevada For Informed Strategic Planning, Khandaker Arafin Islam, Shashi Nambisan Jan 2024

Equitable Roadways: Analyzing Rural-Urban Road Safety In Nevada For Informed Strategic Planning, Khandaker Arafin Islam, Shashi Nambisan

Kentucky Transportation Center Presentations

No abstract provided.


Unintended Consequences: Changes In Driver Behavior Associated With The Adoption Of Advanced Driver Assistance Systems, Nischal Gupta, Peter T. Savolainen Jan 2024

Unintended Consequences: Changes In Driver Behavior Associated With The Adoption Of Advanced Driver Assistance Systems, Nischal Gupta, Peter T. Savolainen

Kentucky Transportation Center Presentations

Advanced driver assistance systems (ADAS) are a disruptive precursor to fully autonomous vehicles (AVs), which will have far-reaching impacts on the nature of travel. With various ADAS features becoming increasingly common in vehicles, some unintended changes in driving behavior are expected including engaging in more risk-taking behavior while driving. To that end, the present study utilizes survey-based data of 1,000 Michigan adults and investigates the likelihood of drivers engaging in three different driving behaviors- cell phone use, consumption of alcohol, and tailgating when driving a vehicle with collision alert systems by means of multivariate ordered probit regression analysis. Results showed …


A 3-Step, Open-Data, Ride-Hailing Ridership Model With Pricing Applications, Richard A. Mucci Jan 2024

A 3-Step, Open-Data, Ride-Hailing Ridership Model With Pricing Applications, Richard A. Mucci

Theses and Dissertations--Civil Engineering

Researchers and practitioners studied the effects ride-hailing had in cities before the covid-19 pandemic. Previous research found ride-hailing to produce negative externalities, such as reducing transit ridership and increasing congestion in various cities. Since the pandemic, ride-hailing ridership has nearly recovered to pre-pandemic levels in Chicago. Ride-hailing ridership has grown steadily since the pandemic while a rider’s willingness to share their trip stagnated. Ride-hailing ridership nearly recovering to pre-covid levels in Chicago suggests that transportation planners, and policy makers, will need to continue assessing the impacts ride-hailing trips have in their cities.

Pickup and drop off locations in the Chicago …


Identifying The Job Characteristics Affecting Construction Firm Employee Turnover Intention, Seog Jae Choi Jan 2024

Identifying The Job Characteristics Affecting Construction Firm Employee Turnover Intention, Seog Jae Choi

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Researchers have proved that employees who have the intention to quit the organization, called turnover intention, have decreased productivity and may not fulfill their duties properly. The turnover intention has a negative relationship with the quality of core job characteristics of the organization. As the construction industry has distinctive characteristics compared to other industries, the job characteristics that influence turnover intention need to be explored separately. This study identifies job characteristics of the construction industry that can affect turnover intention. Through the literature review, autonomy, task identity, required skill variety, task significance, justification in assigning work location, and job security …


Achieving Project Objectives And Improving Functions: The Benefits Of Ai And Construction Technologies, Fareed Salih, Islam H. El-Adaway Jan 2024

Achieving Project Objectives And Improving Functions: The Benefits Of Ai And Construction Technologies, Fareed Salih, Islam H. El-Adaway

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The Construction Industry Is Increasingly Incorporating Artificial Intelligence (AI) And Construction Technologies Into Projects. However, It Lags Behind Other Industries In Terms Of Digital Transformation. One Of The Reasons For This Disparity Is The Lack Of Evidence-Based Information On AI And Technologies In Construction Projects. Hence, This Research Aims To Comprehensively Understand The Benefits Of AI Techniques And Construction Technologies And Their Role In Achieving Objectives And Improving Functions. To This End, The Authors Followed A Three-Step Research Methodology. Firstly, An Extensive Literature Review Was Conducted To Identify 4 AI Techniques, 13 Construction Technologies, And 28 Benefits Relevant To Their …


Effect Of Admixtures On Rapid Hardening, Self-Consolidating Concrete, Haley Johnson Jan 2024

Effect Of Admixtures On Rapid Hardening, Self-Consolidating Concrete, Haley Johnson

Theses and Dissertations--Civil Engineering

Self-consolidating, rapid-hardening concrete is a sought-after product in the market now, however the effects of admixtures on fresh and hardened concrete rheology are still uncertain. This study aims to create a self-consolidating concrete (SCC) using calcium sulfoaluminate (CSA) cement for its rapid-hardening properties, and tests two set time retarders and two viscosity-modifying admixtures (VMAs) to determine how they affect the properties of concrete. The properties studied in this thesis are workability, viscosity, set times, air content, compressive strength, and freeze-thaw resistance of self-consolidating concrete. It was found that tartaric acid creates a very workable SCC with consistent results regardless of …


Quantitative Sustainable Design Of Urban Tree Soil Cells For Stormwater Management, Jamaya Wilson Jan 2024

Quantitative Sustainable Design Of Urban Tree Soil Cells For Stormwater Management, Jamaya Wilson

Theses and Dissertations--Civil Engineering

Urban trees are critical assets to cities around the world. They act as a green infrastructure system to provide various environmental, economic and social benefits to their surrounding environments. However, the quality of life of urban trees is severely threatened by uncontrolled urbanization and climate change. The compaction of urban soils to meet the structural stability requirements for buildings and pavements directly restricts tree growth. Soil cells are green infrastructure placed in tree wells to transfer active and static loads to pavements. This allows for reduced soil compaction and increased tree root expansion. However, because the technology is still in …


Understanding The Construction Workforce Needs Of The Future: Technology, Skills, Diversity, Bassam Ramadan Jan 2024

Understanding The Construction Workforce Needs Of The Future: Technology, Skills, Diversity, Bassam Ramadan

Theses and Dissertations--Civil Engineering

The U.S. construction industry stands at a crossroads. The looming age cliff is about to present its most serious challenges yet, coinciding with a shortage of qualified skilled professionals. As the demands of the construction industry continue to grow, it continues to lack the manpower to meet those demands. In order to meet the rising demands of construction needs in the near future, the construction industry needs to focus on improving workforce performance and productivity, and increasing the size of the construction labor force. Existing research highlights the importance of technological adoption and workforce skills, and that gender and ethnic …


Development Of A Particulate Matter Sensor Network For Air Quality Monitoring In Indoor Settings And In Mines, Abdulrahman Bani Jan 2024

Development Of A Particulate Matter Sensor Network For Air Quality Monitoring In Indoor Settings And In Mines, Abdulrahman Bani

Masters Theses

"The importance of indoor air quality (IAQ), especially concerning particulate matter (PM), has become increasingly recognized due to its substantial impact on public health. Individuals spend a significant portion of their time indoors, where PM concentrations can exceed that of outdoors, leading to potential adverse health effects ranging from immediate irritation to long-term respiratory and cardiovascular diseases. The dynamic nature of indoor environments, combined with the diversity of PM sources, presents considerable challenges for effective IAQ monitoring and management. Traditional approaches to IAQ assessment often fall short, lacking the granularity and immediacy required to address these challenges adequately.

This abstract …


Improving Decision-Making Processes In Construction And Infrastructure Bidding: Qualitative And Quantitative Approaches Including Graph Theory, Game Theory, And Machine Learning, Muaz Osman Elzubeir Ahmed Jan 2024

Improving Decision-Making Processes In Construction And Infrastructure Bidding: Qualitative And Quantitative Approaches Including Graph Theory, Game Theory, And Machine Learning, Muaz Osman Elzubeir Ahmed

Doctoral Dissertations

"Construction and infrastructure bidding is a highly competitive process that entails various uncertainties faced by contractors. Contractors weigh various factors to determine the expected benefits of a construction project and decide their bid value. However, the situation is more complex in multi-stage bidding (MSG), where general contractors must account for the bids of their subcontractors and face a greater threat of the winner’s curse (i.e., situation where the winning contractor underestimates the actual cost of the project). As such, bidding-related complexities, risks, and uncertainties, if uncontrolled, can lead to the rise of claims and disputes between stakeholders. Existing research falls …


Evaluating Friction Characteristics Of High Friction Surface Treatment Application Under Varied Polishing And Slippery Conditions, Alireza Roshan, Magdy Abdelrahman Jan 2024

Evaluating Friction Characteristics Of High Friction Surface Treatment Application Under Varied Polishing And Slippery Conditions, Alireza Roshan, Magdy Abdelrahman

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The frictional attributes of high friction surface treatment (HFST) play a crucial role in ensuring optimal traffic safety, particularly in wet weather conditions. Friction consists of two important components: adhesion and hysteresis. This research focuses on evaluating these essential factors in HFST using two different aggregates and two distinct sizes by considering various abrasion and polishing methods. To isolate these components for assessment, testing was carried out under various slippery conditions, including dry, wet with water, and wet with water + soap. The inclusion of liquid hand soap in the test procedure effectively minimized or even eliminated the adhesion component's …


Agent-Based Modeling For Understanding Incentives Associated With Distributed Solar Generation, Gasser Ali, Islam H. El-Adaway Jan 2024

Agent-Based Modeling For Understanding Incentives Associated With Distributed Solar Generation, Gasser Ali, Islam H. El-Adaway

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Distributed solar generation (DSG), such as residential photo-voltaic (PV) solar panels, offers many benefits to consumers and can improve the sustainability and resilience of the electric power infrastructure. As such, many local and national authorities implemented policy incentives, such as rebates and loans with reduced interests, to promote the adoption of DSG. However, the increasing penetration of DSG is creating new obstacles for system operators due to the uncertainty in forecasting electrical power demand. There is a need to investigate how incentives affect DSG adoption. To achieve that goal, a complex system-of-systems (SoS) model is developed using agent-based modeling (ABM). …


System Dynamics Modeling For Investigating The Retention Of Skilled Labor In The Construction Market, Tamima Elbashbishy, Islam H. El-Adaway Jan 2024

System Dynamics Modeling For Investigating The Retention Of Skilled Labor In The Construction Market, Tamima Elbashbishy, Islam H. El-Adaway

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Limited skilled labor has been one of the greatest challenges facing the construction industry, especially after COVID. In 2019, around 80% of contractors in the US reported problems in hiring enough skilled workers. Labor retention has been one of the major contributors to skilled labor shortages in construction. The goal of this paper is to study the impact of key construction industry characteristics and economic conditions on skilled labor shortages. This goal is achieved by simulating the flow of skilled workers throughout the construction industry. To this end, a system dynamics (SD) model was developed to represent skilled labor and …


Investigating Price Fluctuation Transmission Among Construction Materials, Mohamad Abdul Nabi, Islam H. El-Adaway, Rayan H. Assaad Jan 2024

Investigating Price Fluctuation Transmission Among Construction Materials, Mohamad Abdul Nabi, Islam H. El-Adaway, Rayan H. Assaad

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Generally, Fluctuation In One Material's Price Can Cause A Series Of Chain Reactions In The Supply Chain System, Known As Price Fluctuation Transmission, As All Materials Are Interconnected And Interrelated. None Of The Previous Studies Have Investigated Price Fluctuation Transmission Among All Construction Materials. This Paper Aims To Fill This Gap In Knowledge. The Authors Collected Producer Price Index (PPI) Data For 16 Construction Materials, Modeled The Relationship Between Each Pair Of Materials Using Vector Autoregression Technique, And Validated The Causality Using Granger Causality Test. Network Analysis Was Performed To Identify The Price Fluctuation Transmission Capacity, Susceptibility, And Intermediatory Capacity …


Post-Fire Hydrologic Analysis: A Tale Of Two Severities, Kendra Fallon, Shawn J. Wheelock, Mojtaba Sadegh, Jennifer L. Pierce, James P. Mcnamara, Megan Cattau, Victor R. Baker Jan 2024

Post-Fire Hydrologic Analysis: A Tale Of Two Severities, Kendra Fallon, Shawn J. Wheelock, Mojtaba Sadegh, Jennifer L. Pierce, James P. Mcnamara, Megan Cattau, Victor R. Baker

Civil Engineering Faculty Publications and Presentations

Addressing post-fire impacts largely depends on burn “severity.” A singular severity classification that encompasses the holistic effects of fire on all ecosystem processes does not currently exist. Lumping vegetation burn severity and soil burn severity into one metric, or using them interchangeably, can induce large inaccuracies and uncertainties in the intended ecosystem response to forcing. Often, burn “severity” reflects fire impacts on vegetation, which can be measured through remote sensing. Vegetation burn severity is likely more apropos for ecological research, whereas soil burn severity is more relevant for hydrological analyses. This paper reviews different remotely sensed vegetation severity products currently …


Strategies To Mitigate Efflorescence In Walls Constructed Using Clays Bricks; A Review Article, Marwa Abdulkareem. Anber, Soran Abdulrahman Ahmad, Naros Rahman Mahmoud, Kawan Fuoad. Kayani, Mohammed Ali Abdulrehman Jan 2024

Strategies To Mitigate Efflorescence In Walls Constructed Using Clays Bricks; A Review Article, Marwa Abdulkareem. Anber, Soran Abdulrahman Ahmad, Naros Rahman Mahmoud, Kawan Fuoad. Kayani, Mohammed Ali Abdulrehman

Al-Esraa University College Journal for Engineering Sciences

The construction of buildings, especially residential housing for communities, is a significant industry on a global scale. Masonry units such as bricks, blocks, and stones are often utilized materials. Bricks are highly regarded because to their widespread availability, cost-effectiveness, and excellent insulating capabilities. Nevertheless, the presence of efflorescence presents a difficulty in the construction of brick walls. Efflorescence refers to the process in which salts move to the outer layer of the brick, resulting in the formation of white deposits and negatively impacting its visual appeal. Efflorescence is caused by various circumstances, such as the existence of salts in bricks, …


The Importance Of Cryptography In Cloud Computing, Saja Alaam Talib Jan 2024

The Importance Of Cryptography In Cloud Computing, Saja Alaam Talib

Al-Esraa University College Journal for Engineering Sciences

Cloud computing has grown as a widely accepted concept simultaneously, as the alarms for the security of data and information. This paper seeks to establish the comprehensive roles of cryptography in tackling these issues in the Cloud environment. The study begins with the historical background of cryptography and then moves on to analyze trends in information technology before discussing on the challenges to security in cloud computing. The goal of its publication is to highlight the importance of using cryptographic technologies for the protection of information confidentiality, its integrity and compliance. The combination of literature review and the case study …


Investigating Emerging Technologies In Civil Structural Health Monitoring: Generative Artificial Intelligence And Virtual Reality, Furkan Luleci Jan 2024

Investigating Emerging Technologies In Civil Structural Health Monitoring: Generative Artificial Intelligence And Virtual Reality, Furkan Luleci

Graduate Thesis and Dissertation 2023-2024

Condition assessment of civil engineering infrastructure systems is of growing importance as they face aging and degradation due to both human-made activities and environmental factors. Nevertheless, challenges persist in data collection, leading to "data scarcity", and the need for frequent site visits in inspections, presenting significant obstacles in the assessment of the civil infrastructure systems. This dissertation aims to overcome these challenges by exploring the potential of two emerging technologies: Generative Artificial Intelligence (AI) and Virtual Reality (VR). In tackling the issue of data scarcity, the research question revolves around how Generative AI can be utilized to mitigate data collection-related …


Termite Gut Microbe (Tav5) Application To Pulp & Paper Wastewater And Sugarcane Bagasse: Enhancing Lignin Degradation And Methane Generation During Anaerobic Digestion, Doreen Ntiamoah-Asare, Melanie Sattler Ph.D, P.E. Jan 2024

Termite Gut Microbe (Tav5) Application To Pulp & Paper Wastewater And Sugarcane Bagasse: Enhancing Lignin Degradation And Methane Generation During Anaerobic Digestion, Doreen Ntiamoah-Asare, Melanie Sattler Ph.D, P.E.

Civil Engineering Dissertations - Archive

TAV5 is a bacterium strain of the family Opitutaceae from Termite-Associated Verrucomicrobium isolated from the hindgut of Reticulitermes Flavipes, the most common subterranean termite in North America. The genome of TAV5 contains genes coding for enzymes that could structurally modify lignin.

Pulp & paper wastewater and Sugarcane bagasse contain high levels of cellulose (44-46%) and hemicellulose (27-32% ), as well as lignin (17-23%) which is recalcitrant to biodegradation. The lignin tend to shield the cellulose and hemicellulose making them inaccessible for biodegradation.

TAV5 can breakdown lignin, making the cellulose and hemicellulose accessible to microorganisms for biodegradation into methane generation for …


Development Of A Real-Time Warning System For Bridge Icing Using Time Domain Reflectometry, Taryn Dilorenzo Jan 2024

Development Of A Real-Time Warning System For Bridge Icing Using Time Domain Reflectometry, Taryn Dilorenzo

Civil Engineering Dissertations - Archive

Treacherous driving conditions are a safety concern during the winter season where icing on roadways and bridges is of particular concern. The use of sensors to detect the presence or potential of surface ice formation is essential for efficient and effective winter road maintenance. However, there is a lack of ice detection systems that combine robust sensors, active warning signs and an ice detection algorithm that is reliable and economical. This study presents an innovative sensor that uses dielectric sensing to detect the onset of ice formation on a bridge deck. The sensor combines an automatic algorithm for ice detection …