Other Engineering Commons^™

Diagnosis Of Covid-19 Impact On The Construction Employment: Decline And Recovery, Anil Baral, Abdullah Alnuaimi, Yunping Liang, Baabak Ashuri, Mohsen S. Shahandashti

Durham School of Architectural Engineering and Construction: Faculty Publications

The Coronavirus Disease 2019 (COVID-19) had an unprecedented impact on U.S. construction employment. The assessment of employment declines and recoveries across various construction sectors, workforce demographics, and geographic regions helps develop inclusive long-term plans to overcome the setbacks of natural hazards, such as the COVID-19 pandemic. Existing methods for quantifying the employment decline from sudden shocks do not consider trends and seasonality of construction employment under normal conditions. Hence, it is not clear whether the employment declines are due to the impact of a disaster or associated with trends and seasonal patterns of employment. The objective of this research is …

Somatic Prosthetics For Planetary Resonance, Disha Dharesh Kumar R

Masters Theses

This thesis investigates how industrial design can transcend extractive technological paradigms in favor of relational interfaces that foster planetary attunement. Framing the climate crisis as a 'crisis of imagination', the research challenges the Western bifurcation of nature and culture by drawing on Indic cosmologies- which recognize stones, plants, and ecosystems as conscious at different levels and participants in a shared cosmic field. By synthesizing research in Biosemiotics, Quantum Information Pansycishm, and Neuroscience, the project redefines intelligence as a distributed, more-than-human phenomenon.

The research materializes as a speculative design artifact: a device that functions as a somatic prosthetic for planetary resonance. …

Sustainability Tool Inventory, Robert Moore, James O'Donnell

Tools

The purpose of this inventory is to inform Irish organisations, including the private sector, public agencies and semi-states, about Sustainability Tool

Using Scaffolding, Gamification, And Self Awareness To Create Responsive Ux/Ui In Cad Software To Nurture Metacognition In Novice Users, Obed Ibrahim Gonzalez

Graduate Theses and Dissertations

Computer-aided Design (CAD) software represents a significant shift from manual and analog design processes to digital workflows, offering substantial utility, accuracy, and productivity benefits. However, CAD software often presents a steep learning curve, particularly for novice users who are new to the software or possess only basic knowledge. Traditional CAD curricula have predominantly focused on technical problem-solving—teaching tools and systems—while often neglecting strategic knowledge that encompasses reflection, planning, and refining, which are essential components of metacognition. Metacognition is crucial for transforming novices into experts who use fewer and more complex commands, employ sophisticated planning, and achieve their goals more efficiently. …

Green Project Finance For Infrastructure And Building Construction: Instruments And Benchmarks, Yunping Liang

Durham School of Architectural Engineering and Construction: Faculty Publications

It is counterintuitive that both the practice and research on green project finance for infrastructure and building construction are ascendant and still have limited precedents, considering that individually, the two parts (i.e., project finance and sustainability in the built environment) are both familiar to the communities. To narrow the gap and facilitate the financing of the built environment’s sustainable transformation, this study systematically reviews the common instruments for financing green infrastructure and building projects. Benchmarking questions distinguishing the profile of green project finance from common construction project finance are developed based on the literature review and then are used for …

Association Between In Situ Ventilation And Human-Generated Aerosol Exposure In Meatpacking Plants During The Covid-19 Pandemic, Joshua L. Santarpia, Josephine Lau, Debayan Shom, Shanna A. Ratnesar-Shumate, Eric C. Carnes, Gearge W. Santarpia, Vicki L. Herrera, Danielle N. Rivera, Daniel N. Ackerman, Ashley R. Ravnholdt, John J. Lowe, Athena K. Ramos

Durham School of Architectural Engineering and Construction: Faculty Publications

During the COVID-19 pandemic, meatpacking workers were disproportionately affected by disease. Large outbreaks at meatpacking facilities resulted in loss of life and threatened the well-being of workers across the globe. Much work was done throughout the pandemic to understand and prevent these outbreaks. This study combined ventilation system evaluation and measurement of human-generated respiratory aerosol to investigate and identify areas of highest risk for disease transmission. These findings confirm that improved ventilation reduces exposure to human-generated aerosols in meatpacking facilities, including those that may contain infectious agents, such as SARS-CoV-2. This study suggests areas of greatest risk are likely areas …

Government Construction Projects Stumbling In Saudi Arabia Case Study: Municipal Sector Projects, Nawaf Saleh Altayash Eng, Abdurahman Ibrahim Ammar Dr

Emirates Journal for Engineering Research

Governmental construction projects receive a large proportion of the annual Kingdom budgets. The Kingdom’s government has been interested in addressing the problem of stumbling projects by establishing and launching several programs, initiatives, and projects. Despite this interest, the problem of stumbling government projects still exists.

This study aims to reach recommendations that lead to practical solutions to solve the problem of stumbling municipal sector construction projects in the Kingdom, by identifying the reasons for government construction projects stumbling in general and construction municipal sector projects in particular, classifying the reasons for stumbling of municipal sector construction projects, and arranging them …

Sustainable Sensing With Paper Microfluidics: Applications In Health, Environment, And Food Safety, Sanjay Kumar, Jyoti B. Kaushal, Heow Pueh Lee

Durham School of Architectural Engineering and Construction: Faculty Publications

This manuscript offers a concise overview of paper microfluidics, emphasizing its sustainable sensing applications in healthcare, environmental monitoring, and food safety. Researchers have developed innovative sensing platforms for detecting pathogens, pollutants, and contaminants by leveraging the paper’s unique properties, such as biodegradability and affordability. These portable, low-cost sensors facilitate rapid diagnostics and on-site analysis, making them invaluable tools for resource-limited settings. This review discusses the fabrication techniques, principles, and applications of paper microfluidics, showcasing its potential to address pressing challenges and enhance human health and environmental sustainability.

Modeling And Design Parameter Optimization To Improve The Sensitivity Of A Bimorph Polysilicon-Based Mems Sensor For Helium Detection, Sulaiman Mohaidat, F. M. Alsaleem

Durham School of Architectural Engineering and Construction: Faculty Publications

Helium is integral in several industries, including nuclear waste management and semiconductors. Thus, developing a sensing method for detecting helium is essential to ensure the proper operation of such facilities. Several approaches can be used for helium detection, including based on the high thermal conductivity of helium, which is several times higher than air. This work utilizes the high thermal conductivity of helium to design and analyze a bimorph MEMS sensor for helium sensing applications. COMSOL Multiphysics software (version 6.2) is used to carry out this investigation. The sensor is constructed from poly-silicon and SiO₂ materials with a trenched …

Ace Mentor Program - Central Coast Chapter, Brayden Samuel Groshart

Construction Management

For my senior project, I established a chapter of the ACE (Architecture, Construction, and Engineering) Mentor Program in San Luis Obispo, California. This program provides high school students with hands-on experience and exposure to careers in the architecture, construction, and engineering industries. The program spanned eight weeks, balancing theoretical knowledge and practical application. The curriculum began with sessions on the fundamentals of architecture, engineering, and construction. In order to expose the students to real world practices, we organized tours of an architecture firm, an engineering firm, and an active construction site. These visits allowed students to engage with professionals, observe …

Distribution Fitting And Anova Test To Analyze Pavement Sensing Patterns For Condition Assessments, Dada Zhang, Chun-Hsing Ho

Durham School of Architectural Engineering and Construction: Faculty Publications

Purpose – The purpose of this paper is to investigate the vehicle-based sensor effect and pavement temperature on road condition assessment, as well as to compute a threshold value for the classification of pavement conditions.

Design/methodology/approach – Four sensors were placed on the vehicle’s control arms and one inside the vehicle to collect vibration acceleration data for analysis. The Analysis of Variance (ANOVA) tests were performed to diagnose the effect of the vehicle-based sensors’ placement in the field. To classify road conditions and identify pavement distress (point of interest), the probability distribution was applied based on the magnitude values of …

Evolvement Of Excusable Delay Clauses In Government Contracts Since The Covid-19 Pandemic, Jung Hyun Lee, Yunping Liang, Seyed Mohammad Ehsan Tabatabaee, Bryce Riccitelli

Durham School of Architectural Engineering and Construction: Faculty Publications

Excusable delay clauses in government construction contracts, often considered boilerplate with minimal modifications, have increased in attention since the outbreak of COVID-19. Despite the studies enumerating triggering events of the clause in the background of the pandemic, it is necessary to capture insights into how the unprecedented event is systematically accommodated by contract languages. The overarching goal of this study is to identify changes in contract languages over the pre-and post-pandemic eras by state departments of transportation (DOTs), focusing on excusable delay clauses. This study conducts a content analysis and a comparative analysis of state DOT construction contract documents, including …

Opportunities And Challenges Of Generative Ai In Construction Industry: Focusing On Adoption Of Text-Based Models, Prashnna Ghimire, Kyungki Kim, Manoj Acharya

Durham School of Architectural Engineering and Construction: Faculty Publications

In the last decade, despite rapid advancements in artificial intelligence (AI) transforming many industry practices, construction largely lags in adoption. Recently, the emergence and rapid adoption of advanced large language models (LLMs) like OpenAI’s GPT, Google’s PaLM, and Meta’s Llama have shown great potential and sparked considerable global interest. However, the current surge lacks a study investigating the opportunities and challenges of implementing Generative AI (GenAI) in the construction sector, creating a critical knowledge gap for researchers and practitioners. This underlines the necessity to explore the prospects and complexities of GenAI integration. Bridging this gap is fundamental to optimizing GenAI’s …

Diagnosis Of Disease Affecting Gait With A Body Acceleration‑Based Model Using Reflected Marker Data For Training And A Wearable Accelerometer For Implementation, Mohammad Ali Takallou, Farahnaz Fallahtafti, Mahdi Hassan, Ali Al‑Ramini, Basheer Qolomany, Iraklis I. Pipinos, Sara A. Myers, F. M. Alsaleem

Durham School of Architectural Engineering and Construction: Faculty Publications

This paper demonstrates the value of a framework for processing data on body acceleration as a uniquely valuable tool for diagnosing diseases that affect gait early. As a case study, we used this model to identify individuals with peripheral artery disease (PAD) and distinguish them from those without PAD. The framework uses acceleration data extracted from anatomical reflective markers placed in different body locations to train the diagnostic models and a wearable accelerometer carried at the waist for validation. Reflective marker data have been used for decades in studies evaluating and monitoring human gait. They are widely available for many …

Organic Electronics In Biosensing: A Promising Frontier For Medical And Environmental Applications, Jyoti Bala Kaushal, Pratima Raut, Sanjay Kumar

Durham School of Architectural Engineering and Construction: Faculty Publications

The promising field of organic electronics has ushered in a new era of biosensing technology, thus offering a promising frontier for applications in both medical diagnostics and environmental monitoring. This review paper provides a comprehensive overview of organic electronics’ remarkable progress and potential in biosensing applications. It explores the multifaceted aspects of organic materials and devices, thereby highlighting their unique advantages, such as flexibility, biocompatibility, and low-cost fabrication. The paper delves into the diverse range of biosensors enabled by organic electronics, including electrochemical, optical, piezoelectric, and thermal sensors, thus showcasing their versatility in detecting biomolecules, pathogens, and environmental pollutants. Furthermore, …

Toward Low Carbon Footprint And Lightweight Masonry Alkali-Activated Material, Zina Ebrahim, Mohammad Mastali, Marc Maguire

Durham School of Architectural Engineering and Construction: Faculty Publications

The portland cement concrete industry and the masonry industry are undergoing changes in response to skilled labor shortages and concerns over climate and pollution. There may be interest from parts of the industry in lower carbon footprint and lightweight masonry products. Toward this aim, the use of hemp shiv--the woody core of the hemp plant--in alkali-activated concrete was investigated herein and shown to have a wide range of impacts on the hardened state characteristics of a material suitable for structural concrete masonry units (CMUs) in accordance with ASTM C90 requirements. Hemp shiv is well known for its use in hempcrete, …

Incentivizing Electric Vehicle Adoption Through State And Federal Policies: Reviewing Influential Policies, Joshua Sabata, Subhaditya Shom, Ahmad Almaghrebi, Anne Mccollister, Mahmoud Alahmad

Durham School of Architectural Engineering and Construction: Faculty Publications

All-electric vehicles (EVs), battery-powered EVs (BEVs), and plug-in hybrid EVs (PHEVS) are gaining market share and increasing in popularity with the buying public because the battery range (longer) and cost (lower) have reached sweet spots, the charging infrastructure is more robust, and concern with global cli­mate change is high. In 2013, only 100,000 EVs were sold in the United States, but by 2022, approximately 800,000 have been purchased. A similar growth is seen in EV sup­ply equipment (EVSE), i.e., EV charging stations, with 19,742 documented EV charging station locations in the United States in 2013 to 50,054 documented EV charging …

Out-Of-Plane Flexural Behavior Of Insulatedwall Panels Constructed With Large Insulation Thicknesses, Jacob Luebke, Fray F. Pozo-Lora, Salam Al-Rubaye, Marc Maguire

Durham School of Architectural Engineering and Construction: Faculty Publications

Insulated concrete sandwich wall panels (ICSWPs) are gaining popularity as energy regulations become stricter worldwide. ICSWPs are now being constructed with thinner wythes and thicker insulation to keep up with the changing market, which is reducing material costs and increasing thermal and structural efficiency. However, there is a need for adequate experimental testing to validate the current design methods for these new panels. This research aims to provide that validation by comparing the predictions of four different methods with experimental data obtained from six large-scale panels. The study found that while current design methods adequately predict the behavior of thin …

Energy Efficient Integrated Mems Neural Network For Simultaneous Sensing And Computing, Hamed Nikfarjam, Mohammad Megdadi, Mohammad Okour, Siavash Pourkamali, F. M. Alsaleem

Durham School of Architectural Engineering and Construction: Faculty Publications

Biological systems seamlessly combine multiple functions in lightweight and energy-efficient structures. Such capability in synthetic structures would be desirable in numerous engineering applications such as aerospace, robotics and wearable devices. Here we report an integrated silicon-based structure configured to sense, perform different classification algorithms, and produce an action signal within the same physical layer. The algorithms are coded in the mechanical responses of the sensing elements of multiple coupled micro-electromechanical systems (MEMS), simultaneously capturing acceleration measurements to produce an actuated signal. This all-in-one structure operates with zero circuitry and low power consumption. As a demonstration, we designed and fabricated a …

Reconfigurable Metatiles With Circular Maze-Like Space-Coiling-Based Acoustic Metastructure For Low-To-Mid Frequency Sound Attenuation, Sanjay Kumar, Heow Pueh Lee

Durham School of Architectural Engineering and Construction: Faculty Publications

This study presents a compact, lightweight, and reconfigurable acoustic metatile for sound mitigation applications. The metatile prototype is designed based on a circular maze-like acoustic metastructure, which utilizes a space-coiling technique for enhanced acoustic performance in low-to-mid frequencies. The proposed labyrinthine acoustic metadisk structure comprises a central hollow front face sheet and two coiling-up backing cavities. Experimental results show that the metadisk has high absorption peaks of 0.81 and 0.75 at 574 and 1436 Hz, respectively, and exhibits high sound transmission loss (STL) values (≥25 dB) in separate wide frequency bands between 100–580 Hz and 820–1600 Hz. Based on the …

Structural Testing Of Concrete Walls On-Edge With Combined Axial And Out-Of-Plane Loading, Salam Al-Rubaye, Marc Maguire

Durham School of Architectural Engineering and Construction: Faculty Publications

Full-scale testing of structural components can be time consuming and difficult. The design of full- scale slender concrete walls is highly influenced and controlled by second-order and out-of-plane bending loads. Previous experiments on out-plane bending of slender walls and insulated walls have been performed with bending in the direction of gravity (with or against). Additionally, most of the research considering out-of-plane bending does not include an axial load and suffers from inaccurate results due to not simulating the actual loading and constraining conditions or safety issues. This testing method was developed expressly for the determination of slender wall behavior in …

Relationships Between Residence Characteristics And Nursing Home Compare Database Quality Measures, Brian J. Puckett, Erica E. Ryherd, Natalie Manley, Carey S. Ryan

Durham School of Architectural Engineering and Construction: Faculty Publications

Objective: This study evaluated relationships between physical characteristics of nursing home residences and quality-of-care measures.

Design: This was a cross-sectional ecologic study. The dependent variables were 5 Centers for Medicare & Medicaid Services (CMS) Nursing Home Compare database long-stay quality measures (QMs) during 2019: percentage of residents who displayed depressive symptoms, percentage of residents who were physically restrained, percentage of residents who experienced 1 or more falls resulting in injury, percentage of residents who received antipsychotic medication, and percentage of residents who received anti-anxiety medication. The independent variables were 4 residence characteristics: ownership type, size, occupancy, and region …

Analysis And Design Of Lateral Framing Systems For Multi-Story Steel Buildings, Husam Al Dughaishi, Jawad Al Lawati, Moad Alosta, Shaker Mahmood, Mohamed Faisal Al-Kazee, Nur Izzi Md Yusoff, Abdalrhman Milad

Durham School of Architectural Engineering and Construction: Faculty Publications

This study focused on identifying the most appropriate structural system for multi-story buildings and analyzing its response to lateral loads. The study analyzed and compared the different structural systems to determine the most suitable option. The study aims to utilize three lateral framing systems (moment, braced, and diagrid) in order to investigate which system needs the least amount of steel to meet the design requirements. Thus, in order to determine the estimated steel savings of this system as compared to the moment and braced frames, the four-story and eight-story buildings that are 96' × 96' in the plane and utilize …

Riverine Commons And Institute Framework Plan, Community Design Center

Community Design Center Project Reports

The nonprofit Watershed Conservation Resource Center is restoring a 98-acre riparian wetland landscape near downtown Fayetteville as a River Commons and Institute. The Framework Plan combines watershed restoration with architecture and urban design to house a river education center, a visitor interpretive center, walking trails, passive recreation facilities including bird watching and canoeing, and outdoor heritage exhibitions. The Plan operates at the intersection of anthropology, ecology, and design in developing a lasting and robust riverine knowledge fund across space and time.

A Framework To Predict Variability Characteristics In Building Load Profiles, Sam Moayedi, Andrew Parker, Kevin James, Xiaoyue Cheng, Michael Hempel, Hamid Sharif, Mahmoud A. Alahmad

Durham School of Architectural Engineering and Construction: Faculty Publications

The expansion of Advanced Metering Infrastructure (AMI) has provided building operators and researchers detailed information on building energy consumption. The majority of AMI systems, however, record data at relatively low resolutions of 15, 30, or 60 minutes, due to cost, storage and bandwidth limitations. Emerging applications in power flow analysis, Quasi-Static Time-Series Simulation (QSTS), smart grid integration and load matching, however, require data at higher resolutions. Short-term energy demand can deviate significantly from long-term averages, with an unknown magnitude and frequency when only low-resolution load profile data is available. This paper presents a novel data-driven approach to predict characteristics of …

Integration Of Real-Time Semantic Building Map Updating With Adaptive Monte Carlo Localization (Amcl) For Robust Indoor Mobile Robot Localization, Matthew Peavy, Pileun Kim, Hafiz Oyediran, Kyungki Kim

Durham School of Architectural Engineering and Construction: Faculty Publications

A robot can accurately localize itself and navigate in an indoor environment based on information about the operating environment, often called a world or a map. While typical maps describe structural layouts of buildings, the accuracy of localization is significantly affected by nonstructural building elements and common items, such as doors, appliances, and furniture. This study enhances the robustness and accuracy of indoor robot localization by dynamically updating the semantic building map with non-structural elements detected by sensors. We propose modified Adaptive Monte Carlo Localization (AMCL), integrating object recognition and map updating into the traditional probabilistic localization. With the proposed …

Dissipated Hysteretic Energy Reconstruction For High-Resolution Seismic Monitoring Of Instrumented Buildings, Milad Roochi, Eric M. Hernández, David V. Rosowsky

Durham School of Architectural Engineering and Construction: Faculty Publications

This paper proposes a high-resolution seismic monitoring framework that employs dissipated energy as a feature for damage detection and localization in instrumented building structures. The the methodology consists of (1) implementing a nonlinear state observer to reconstruct the dynamic response at all degrees of freedom (DoF) of a structural model, (2) employing the reconstructed response to estimate element-by-element forces and displacements, and (3) using estimated displacement, forces, and constitutive laws to estimate elementlevel dissipated energy. The main advantages of the proposed energy-based approach are that i) the proposed feature is physically meaningful and correlates well with the level of cyclic …

Integrating Life-Cycle Analysis Into Civil Infrastructure Resilience Decision Making: Illustrative Application To Seismic Resilience Modeling Of Us Communities, Milad Roohi, Jiate Li, W. Van De Lindt

Durham School of Architectural Engineering and Construction: Faculty Publications

This paper aims to integrate life-cycle analysis into civil infrastructure resilience modeling and decision-making in seismic-prone communities. To achieve this aim, the authors present a methodology for modeling seismic life-cycle resilience of interdependent buildings and lifeline systems and subsequently informing resilience decisions directly related to the maintenance and retrofit of interdependent infrastructure to enhance a community’s physical, social, and economic systems. The methodology consists of 1) community data collection, 2) seismic hazard analysis, 3) physical damage analysis, and 4) system-level functionality and restoration analysis, 5) socio-economic impact analysis, 6) life-cycle optimization and retrofit decisionmaking. The methodology begins by developing geospatial …

Applying Unsupervised Machine Learning Clustering Techniques To Early Childcare Soundscapes, Kenton Hummel, Erica E. Ryherd, Iason Konstantzos, Abbie Raikes

Durham School of Architectural Engineering and Construction: Faculty Publications

Early childhood is a critical time period for language, brain, cognitive, and social/emotional development. Out-of-home childcare is a normative, typical experience for millions of young children. Although Indoor Environmental Quality (IEQ) in K-12 settings has received recent, significant attention, the links between IEQ and children’s learning and development in early childcare settings is a less understood topic. This work focuses specifically on the sound aspect of IEQ in early childcare settings to better understand typical noise levels and occupant experience. Standard approaches to analyzing background noise will be presented alongside more detailed statistical analyses utilizing unsupervised machine learning clustering techniques. …

Foreign Object Debris Detection For Airport Pavement Images Based On Self-Supervised Localization And Vision Transformer, Travis Munyer, Daniel Brinkman, Xin Zhong, Chenyu Huang, Iason Konstantzos

Durham School of Architectural Engineering and Construction: Faculty Publications

Supervised object detection methods provide subpar performance when applied to Foreign Object Debris (FOD) detection because FOD could be arbitrary objects according to the Federal Aviation Administration (FAA) specification. Current supervised object detection algorithms require datasets that contain annotated examples of every to-be-detected object. While a large and expensive dataset could be developed to include common FOD examples, it is infeasible to collect all possible FOD examples in the dataset representation because of the openended nature of FOD. Limitations of the dataset could cause FOD detection systems driven by those supervised algorithms to miss certain FOD, which can become dangerous …