Engineering Commons^™

Impact Of Owners’ Early Decisions On Project Performance And Dispute Occurrence In Public Highway Projects, Sogand Hasanzadeh, Behzad Esmaeili, Ghada M. Gad, Douglas D. Gransberg

Durham School of Architectural Engineering and Construction: Faculty Publications

Disputes are common in the construction industry and lead to unnecessary cost and schedule overruns in projects. It is commonly believed that owners’ early decisions regarding the selection of delivery methods, procurement methods, and contract types impact the frequency and severity of project disputes; however, no previous study has empirically tested this hypothesis, particularly in highway public projects. Therefore, this study empirically investigated the impact of owners’ early decisions regarding project organization (i.e., delivery methods, procurement, and contract types) on performance measures (e.g., cost and schedule growth), specifically dispute performance metrics (e.g., frequency and severity of disputes), in public highway …

Method For Radon Measurement In Residential Sewer Connections, David Yuill

Durham School of Architectural Engineering and Construction: Faculty Publications

Radon gas is the most deadly indoor air pollutant. In the US, it is responsible for over 20,000 deaths per year. Residential exposure is typically the largest portion of a person’s annual exposure, so a great deal of research has been done to understand the pathways that radon can follow to enter a house. Since radon emanates from the ground, it is present in high concentration in soil gas. Recent research on the vapor intrusion of volatile organic compounds from subsurface sources into a test house concluded that the sewer line is an important preferential pathway. Despite the potential for …

Utilizing Wearable Devices To Design Personal Thermal Comfort Model, Mostafa Rafaie, Mehari Tesfay, Fadi Alsaleem

Durham School of Architectural Engineering and Construction: Faculty Publications

have confirmed that thermal comfort significantly depends on internal personal parameters such as metabolic rate, age, and health status. This is manifested as a difference in comfort levels between people residing under the same roof, and hence no general comprehensive comfort model satisfying everyone. Current and newly emerging advancements in state of the art wearable technology have made it possible to continuously acquired biometric information. This work proposes to access and exploit this data to build personal thermal comfort model. Relying on various supervised machine-learning methods, a personal thermal comfort model will be produced and compared to a general model …

Localized Indoor Temperature Estimation Using Smartphone And Laptop Internal Sensors, Mostafa Rafaie, Mehari Tesfay, Fadi Alsaleem

Durham School of Architectural Engineering and Construction: Faculty Publications

This paper investigates a mechanism in which indoor air temperature can be predicted using the temperature sensor on the battery and the CPU of smartphones or laptops, where data is easily accessible and ubiquitous. As a case study, several machine-learning methods were used to build models from a laptop data and the measured surrounding air temperature. The effects of the machine learning type and input feature size (by including other parameters such as CPU processing usage and battery charge percentage) on the model accuracy were investigated. The goal is to determine a set of feature combinations that can be used …

Comfort-Based Optimal Temperature Setpoint Calculation, Andrew Holthaus, Mostafa Rafaie, Fadi Alsaleem

Durham School of Architectural Engineering and Construction: Faculty Publications

General practice in current building HVAC control is to select building temperature setpoints that comply with ASHRAE Standard 55. By meeting this standard, based on the PMV comfort model, 80% of building occupants should be satisfied with their thermal environment. However, unfortunately, this is rarely the case. One possible reason for this is the variation in occupant activity and clothing that are usually assumed default values using this standard. In this work, we present an iterative-based algorithm to solve this problem. The algorithm solves the PMV inverse model equation to determine the optimal temperature setpoint while inferring human activity level …

Sdnet2018: An Annotated Image Data Set For Non-Contact Concrete Crack Detection Using Deep Convolutional Neural Networks, Sattar Dorafshan, Robert J. Thomas, Marc Maguire

Durham School of Architectural Engineering and Construction: Faculty Publications

SDNET2018 is an annotated image data set for training, validation, and benchmarking of artificial intelligence based crack detection algorithms for concrete. SDNET2018 contains over 56,000 images of cracked and non-cracked concrete bridge decks, walls, and pavements. The dataset includes cracks as narrow as 0.06 mm and as wide as 25 mm. The data set also includes images with a variety of obstructions, including shadows, surface roughness, scaling, edges, holes, and background debris. SDNET2018 will be useful for the continued development of concrete crack detection algorithms based on deep convolutional neural networks (DCNNs), which are a subject of continued research in …

Comprehensive Evaluation Of A Novel Eor Method-Coupling Low Salinity Water Flooding And Preformed Particle Gel To Enhance Oil Recovery In Fractured Reservoirs, Ali K. Alhuraishawy

Doctoral Dissertations

"Excess water production in oil fields is becoming a challenging economic and environmental problem as more reservoirs are maturing. Water channeling, one of the primary reservoir conformance problems, is caused by reservoir heterogeneities that lead to the development of high-permeability streaks. The recovery of oil from carbonate reservoirs is usually low due to their extreme heterogeneity caused by natural fractures and the nature of oil-wet matrix. Also, oil recovery from fractured sandstone reservoirs is often low due to areal heterogeneity. Gel treatments have proven to be a successful and inexpensive fluid diversion method when used to plug the thief zones …

Analyzing Factors Affecting Patient Satisfaction Using The Kano Model, Tejaswi Materla

Doctoral Dissertations

"Customer needs associated with the healthcare sector are constantly evolving with the technological advancements, rising costs, and shifts in patient demographics. Challenges associated with understanding patient needs impact the quality of care and life, safety, and satisfaction. The objective of this research was to develop a methodology to collect and analyze the needs associated with healthcare units that differ based on the type of care and services and patient perceptions over time. The proposed methodology provides insights into the voice of the customer through visualization of the relationship between the performance of quality attributes and customer satisfaction. Cronbach's alpha is …

Carbon Black Production, Analyzing And Characterization, Shadha Khalid Jebur

Masters Theses

"Carbon black (CB) plays a significant function in the development of the electrical and mechanical properties of high performance for a tough elastic polymeric substance such as rubber materials. Thus, CB is widely used to manufacture a massive number of products such as reinforcing and pigment phase in automobile tires due to its high ability to increase tire life by reducing the thermal damage. This material is also used in belts, hoses, and other non-tire rubber goods. Before use in valuable materials. CB should first be analyzed and characterized by different instruments to obtain its mechanical properties. A new thermal …

Advanced Process To Embed Optical Fiber Sensors Into Casting Mold For Smart Manufacturing, Raghavender Reddy Jakka

Masters Theses

"Optical fiber sensors embedded in metals with distributed sensing can sense temperature at multiple points with single fiber. This is useful for smart manufacturing like structural health monitoring in aerospace industry and smart molds in manufacturing plants. There is a huge difference in thermal coefficient of expansion for fiber and metal. This is the reason for the increase in sensitivity for embedded fiber sensors. However, at high temperatures, the stress on the fiber increases, eventually damaging the sensor. The fiber-metal interface determines the sensor performance. A tight interface results in high sensitivity and a gap in the interface enhances sensing …

Bifunctional Porous Polymeric Fiber As A Catalyst For N-Phenylglycine Synthesis And Carbonation Of Propylene Oxide To Propylene Carbonate, Ahmed Abdulghani Almuslem

Masters Theses

"In this study, development of a polymeric bi-functional porous catalyst that can be used in various applications such as batch, packed-bed, and continuous flow reactors and the formation of highly important chemicals that have many applications in the industry. With this material many homogenous reactions can be conducted in heterogeneous environment which is more efficient and profitable. The catalyst was formed by grafting hollow fiber with APS then immobilized with Br using 1,2-dibromoprobane (Br/APS/PAI-HFs). The formed catalyst was tested with BET and FTIR to confirm the immobilization of Br. A porous polymeric material Br/APS/PAI-HFs provides the ability for ring opining …

Fluid Flow In A Krogh Cylinder: A Model For A Single Capillary And Surrounding Tissue, Xianjie Qiu

Masters Theses

"A model describing the flow of plasma from the capillaries to the interstitial space in the extravascular tissue and back into the capillaries is constructed and solved. The flow through the tissue or the interstitial spaces is described by the Brinkman equation for porous medium, modified to account for the presence of cells considered as spheres. The flow of blood through the capillaries is considered to be that of a Newtonian fluid. The flow between capillary and tissue is coupled by the permeability of the capillary wall. The nature of flow and its magnitude was found to be highly dependent …

An Investigation Of The Economic Order Quantity Model With Quantity Discounts Under An Environmental Objective, Tiffanie Marie Toles

Masters Theses

"In a sustainable supply chain, retailers are the direct link between customers and products. Retailers play an important role by relaying feedback such as customer satisfaction, inventory improvement, or product improvement to the other key players in a supply chain. Their overall goal is to reduce supply chain costs, such as the cost of ordering product, transporting product, or holding product in inventory. Other costs associated in a supply chain can include environmental and operations costs. It is important to consider these costs due to the impact environmental operations play in the role of how sustainable a supply chain can …

Characterization Of Free-Radical Solution Polymerizations Of Acrylamide Initiated By Persulfate Initiator Systems, Yashu Chen

Masters Theses

”In order to reduce the water production and improve the oil recovery of mature reservoir, various conformance control technologies have been extensively developed. Preformed particle gel (PPG), a cost-effective plugging agent, has been successfully applied to block the high permeability zone and thus to displace the water to up-swept zone.

A common PPG based on polyacrylamide hydrogel have been wildly used. Identifying the parameters that affect gelation performance and understand how these parameters affect the performance is very useful to predict and manipulate the gelation time and to control the performance of gels.

The objective of this research is to …

Monobore Completion Design: Classification, Applications, Benefits And Limitations, Anwar Khaled Al-Fadhli

Masters Theses

"A monobore completion is a simple completion design that uses the same internal diameter from the bottom of the well to surface. This may be accomplished by cementing a string of casing in a well, or by having tubing stabbed into a polished bore receptacle on a casing liner the same size as the tubing. Monobore completions have been applied extensively in oil and gas fields around the world, both onshore and offshore, from very low reservoir flow to extremely high production rates, since the late 1980s. They have proven beneficial due to their simplicity and cost savings. This study …

Data Analysis Of Low-Salinity Waterflooding To Enhance The Oil Recovery In Sandstone Reservoirs, Nadia Ariani

Masters Theses

"The lack of a single reasonable general mechanism to describe how low-salinity waterflooding can improve oil recovery in both laboratory and field pilot projects has increased the interests of many researchers and stakeholders. There has not been observed the relationship of formation brine salinity and injected brine salinity to see how much salinity is reduced to produce the maximum enhanced oil recovery by LSWF. There is no guidance in what EOR stage the LSWF is best implemented. This work collects data from various published literature to develop a comprehensive data set regarding low-salinity waterflooding in sandstone reservoirs. The LSWF mechanisms …

New Wellbore-Integrity Classification For Gas Migration Problems And New Cement Formulations Using Graphene Nano Platelets To Prevent Gas Migration Through Cement, Mohammed Mousa M. Alkhamis

Masters Theses

"Gas migration, one of the primary problems related to the integrity of oil wells, is caused by cement failures. Gas migration can result in costly well repairs and may endanger personal, equipment, and result in severe operational difficulties and environmental issues. The ultimate objectives of this research were to provide a comprehensive review of the problem and to provide a solution to the problem using Graphene Nano Platelets (GNPs).

An intensive review was performed to understand the cement failures. The reasons behind these failures were analyzed and classified with respect to their locations in the wellbore. Recommendations and potential solutions …

A Novel Power Integrity Modeling Method Based On Plane Pair Peec, Siqi Bai

Masters Theses

"A low impedance power distribution network (PDN) is essential for high frequency integrated circuits. A novel modeling mothed, i.e. the plane pair PEEC method is proposed in this thesis to model the PDN of the multi-layered printed circuit board. The modeling results agrees favorably with full wave simulation and measurement. A PDN tool is develop based on this method"--Abstract, page iii.

Thermal Analysis And Control Of Small Satellites In Low Earth Orbit, Katelyn Elizabeth Boushon

Masters Theses

"Small satellites are becoming more popular in the space sector, primarily due to their lower cost and shorter development time. Much of the information available about satellite thermal analysis and control refers to larger spacecraft. Sorting through this information to find the practices specifically applicable for small satellites can be a daunting task, particularly for inexperienced engineers. This thesis study is intended to inform the reader about basic thermal control and analysis methods that relate specifically to small satellites in low Earth orbit. A case study involving a satellite designed by the Missouri University of Science and Technology Satellite Research …

An Integrated Method For Understanding The Fluid Flow Behavior And Forecasting Well Deliverability In Gas Condensate Reservoirs With Water Aquifer Drive, Abdulaziz Mustafa Em. Ellafi

Masters Theses

"Gas condensate reservoirs constitute a significant portion of global hydrocarbon reserves. In these reservoirs, as bottomhole pressure falls below the dew point, liquid develops in the pore space. This results in the formation of a liquid bank near the wellbore region that decreases gas mobility, which then reduces gas inflow. Some gas condensate reservoirs have bottom aquifer drive, which also negatively impacts gas production. This research used a field case study to demonstrate an integrated workflow for forecasting well deliverability in a gas condensate field in Libya. The workflow began with the interpretation of open-hole log data to identify the …

Computational Intelligence Methods For Predicting Fetal Outcomes From Heart Rate Patterns, Vinayaka Nagendra Harikishan Gude Divya Sampath

Masters Theses

"In this thesis, methods for evaluating the fetal state are compared to make predictions based on Cardiotocography (CTG) data. The first part of this research is the development of an algorithm to extract features from the CTG data. A feature extraction algorithm is presented that is capable of extracting most of the features in the SISPORTO software package as well as late and variable decelerations. The resulting features are used for classification based on both U.S. National Institutes of Health (NIH) categories and umbilical cord pH data. The first experiment uses the features to classify the results into three different …

Effect Of Variation Of Parameters On Biogas Production Using Aspen Plus & Dynamic Simulation Using Mimic, Shruti Shrikant Karambelkar

Masters Theses

"Design and management for Biogas production have gained significance in growing dependency on Renewable energy resources. This would need a detailed information on steady state and dynamic behavior of systems. In order to make this process environmentally ecofriendly, its needs a lot of improvisation on process simulation. Anaerobic digestion helps treat this inefficient water to be converted into water fit for effluent purposes.

Byproducts contain consists of organic, inorganic and wastes which lead to a high COD content and thus, cannot be discarded into the outlets. The anaerobic digestion process. A study of these effects with simulation need to be …

Characterization Of Ionic Liquid Monopropellants For A Multi-Mode Propulsion System, Alex J. Mundahl

Masters Theses

"Multi-mode micropropulsion is a potential game-changing technology enabling rapidly composable small satellites with unprecedented mission flexibility. Maximum mission flexibility requires one shared propellant between the chemical and electric systems. A deep eutectic 1:2 molar ratio mixture of choline-nitrate and glycerol ([Cho][NO₃] - glycerol) is investigated as a fuel component in a binary mixture propellant for such a multi-mode micropropulsion. Specifically, binary mixtures of the novel ionic liquid fuel with hydroxyl-ammonium nitrate (HAN) and ammonium nitrate (AN) are considered and compared against the previously investigated propellant [Emim][EtSO₄]-HAN. Chemical rocket performance simulations predict this new propellant to have …

Cellulose And Sulfate Degradation In A Biochemical Reactor During Treatment Of Mine Drainage, Sweta Ojha

Masters Theses

"Seventy-two biochemical reactors were set up, and operated using a mixture of chip-bark, horse manure, and gravel as the biochemical treatment substrate. The simulated mine water containing sulfate (1000 mg/l) was pumped into each reactor at a flow rate of 0.5 ml/minute (approximate), giving an empty bed contact time of 8 days. The main idea is that the microorganisms present in horse manure would convert the cellulose in chip-bark into volatile fatty acids. The produced volatile fatty acid would enhance the metabolism of sulfate-reducing bacteria (SRB) initially present in horse manure, which would degrade (and eventually remove) the sulfate from …

Controlling Phase Fractions Of 304l-Ss In Selective Laser Melting Using Cooling Rate, Eberechukwu Anthony Okoro

Masters Theses

"This study examines the thermal profile and the ferrite-austenite phase fractions upon heating and cooling of 304- stainless steel powder via Selective Laser Melting (SLM). Experiments were performed to validate the ABAQUS finite element model, while the phase transformation simulation was performed using MatCalc and ThermoCalc. A correlation between the thermo-mechanical changes in ABAQUS and the microstructural changes from MatCalc was obtained by matching their cooling rates. The result indicates that cooling rate has a significant effect on the phase fractions of FCC and BCC formed in 304L stainless steel via the SLM process. The results also indicate that for …

Generalized Adaptive Variable Bit Truncation Model For Approximate Stochastic Computing, Keerthana Pamidimukkala

Masters Theses

"Stochastic computing as a computing paradigm is currently undergoing revival as the advancements in technology make it applicable especially in the wake of the need for higher computing power for emerging applications. Recent research in stochastic computing exploits the benefits of approximate computing, called Approximate Stochastic Computing (ASC), which further reduces the operational overhead in implementing stochastic circuits. A mathematical model is proposed to analyze the efficiency and error involved in ASC. Using this mathematical model, a new generalized adaptive method improving on ASC is proposed in the current thesis. The proposed method has been discussed with two possible implementation …

Fuel Burnup Simulation And Analysis Of The Missouri S&T Reactor, Joshua Hinkle Rhodes

Masters Theses

"The purpose of this work is to simulate the fuel burnup of the Missouri S&T Reactor. This work was accomplished using the Monte Carlo software MCNP. The primary core configurations of MSTR were modeled and the power history was used to determine the input parameters for the burnup simulation. These simulations were run to determine the burnup for each fuel element used in the core of MSTR.

With these simulations, the new predicted isotopic compositions were added into the model. New core configurations were determined, and the burnup corrected model was used to predict the excess reactivity and control rod …

Investigation Of The Information Provided By Light Touch For Balance Improvement In Humans, Anirudh Saini

Masters Theses

"This study investigates the information provided by Light Touch (LT) in improving human postural stability without mechanical assistance. Light Touch, an interaction force with a magnitude about 1 N, is known to improve postural stability in humans during quiet standing. However, the nature of the information from LT that helped improve balance is yet unknown. In this work, we hypothesized that LT provides information about one's body kinematics. We used a haptic robot to provide modulated, measurable light interaction force on the high back haptic location of humans to provide body kinematics-dependent information through LT. Standing balance experiments were performed …

Numerical Simulation Study Of Factors Affecting Production Well Gel Treatment Using Linear Models With Crossflow, Kewei Shi

Masters Theses

"Conformance control is an inevitable topic related to water-flooding. Polymer gel has been proved to enhance oil recovery by blocking the existing water-breakthrough channels. Water that is injected subsequently will be directed to the unswept portion of the reservoir, replacing part of the remaining oil and increasing the oil-recovery factor. Prior to pilot tests of polymer gel treatment, laboratory experiments and numerical simulations are used to design the tests. Understanding physical meanings of key parameters that affect polymer gel treatment and relating the parameters from lab data and the simulator benefit field operation design.

This thesis study tries to evaluate …

Cellular Hitchhiking Via Injectable Microparticles, Daniel Smith

Masters Theses

"Tissue engineering is a process of developing new tissues in a host. Tissue engineering draws upon revitalizing damaged tissues that otherwise would not heal completely from the body's natural response. To augment the body's natural response to impairment, cells can be transplanted to the afflicted area to boost the healing response. Implementing these cells onto scaffolds and transplanting them into the body improves the healing response dramatically. Tissue regeneration improves when a biodegradable scaffold is used in conjunction with cells to augment the body's healing response. Microparticles provide a surface that can mimic the environment cells perceive in vivo, …