Engineering Commons^™

Antimicrobial Resistance Needs To Be Combated At Primary Levels Of Prevention By Nurses, Sarah Oerther, Daniel B. Oerther

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

No abstract provided.

The Challenge Of Calculating U-Factors For Cold-Formed Steel C-Shape Wall Assemblies Using Framing Factors, American Iron And Steel Institute

AISI-Specifications for the Design of Cold-Formed Steel Structural Members

No abstract provided.

Development Of A U-Factor Calculation Procedure For Cold-Formed Steel C-Shaped Clear Wall Assemblies, American Iron And Steel Institute

AISI-Specifications for the Design of Cold-Formed Steel Structural Members

No abstract provided.

Identifying Opportunities For Educators To Pursue Collaboration At The Interface Of Nursing And Engineering -- And A Word Of Caution, Daniel B. Oerther, Patricia Yoder-Wise, Beverly Malone

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

No abstract provided.

Fiber-Optic Micro-Probes For Measuring Acidity Level, Temperature, And Antigens, Yinfa Ma, Honglan Shi, Qingbo Yang, Hai Xiao

Chemistry Faculty Research & Creative Works

A pH micro-probe, a temperature micro-probe, and an immuno-based micro-probe each include a shaft for transmuting an input light signal and a tip for inserting into a cell or other substance for measuring pH, temperature, and/or antigens. The pH micro-probe and the temperature micro-probe each include a luminescent material positioned on the tip of the micro-probe. The light signal excites the luminescent material so that the luminescent material emits a luminescent light signal. The luminescent light signal has a property value dependent on the pH or temperature being measured and reflects back through the shaft for being measured by ...

Non-Contact Air-Coupled Sensing For Rapid Evaluation Of Bridge Decks, Jinying Zhu

INSPIRE Archived Webinars

Elastic wave-based non-destructive testing (NDT) methods are commonly used for evaluation of civil engineering infrastructure, including bridges, dams and buildings. However, most of these methods require coupling (direct contact) between sensors and the test surface, which significantly restricts the testing speed and consistency, especially for large scale concrete structures in civil engineering. The air-coupled sensing technology was developed by Dr. Jinying Zhu as a solution for rapid scanning of concrete infrastructure. In this webinar, Dr. Zhu will review the development of air-coupled sensing technique for civil engineering applications, including fundamental theory and field application of air-coupled sensing on concrete structures ...

Interfacial Shear Bond Strength Between Steel H-Piles And Polymer Concrete Jackets, Mohanad M. Abdulazeez, Kyle Brown, Mohamed Elgawady

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Steel H-piles have been used widely in bridge construction throughout the U.S. because of their relatively large load-carrying capacity while occupying a small area. However, many H-piles suffer from corrosion, which may lead to abrupt collapse. A cost-effective repair technique, including encasing the corroded region of the steel pile into a concrete jacket, which acts as an alternative load path for the applied axial load, has been used by several state Departments of Transportation. Methyl methacrylate polymer concrete (MMA-PC) is a type of concrete that is commonly used as a repair material. However, there is limited research on the ...

Cyclic Regeneration Of Nanostructured Composites For Catalytic Applications, Fatih Dogan

Materials Science and Engineering Faculty Research & Creative Works

A cermet catalyst material, defining a matrix having interconnected open pores, the matrix selected from the group consisting of YSZ and CGO and defining a substrate, a ceramic coating having a general formula A_yB_nO_x at least partially coating the pores, and a plurality of metal particles A at least partially embedded in the ceramic coating. A is selected from the group consisting of Co, Cu, Ce, Ni, Ti, and combinations thereof and B is selected from the group consisting of Mo, W, Ce, and combinations thereof. When the coating is in a first oxidizing atmosphere ...

Re-Crosslinking Particle Gel For Co₂ Conformance Control And Co₂ Leakage Blocking, Yifu Long, Baojun Bai, Thomas P. Schuman

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

The present invention generally relates to the composition of particle gels for CO₂-EOR and CO₂ storage. More particularly, CO₂ resistant particle gels are provided that can re-crosslink at subterranean conditions. These particle gels can be deployed to improve the conformance of CO₂ flooding, CO₂ huff-puff, or Water-Alternative-Gas (WAG). The applications may also involve CO₂ storage, such as the blocking of CO₂ leakage and similar CO₂ processing.

Corrosion-Induced Mass Loss Measurement Under Strain Conditions Through Gr/Agnw-Based, Fe-C Coated Lpfg Sensors, Chuanrui Guo, Liang Fan, Genda Chen

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

In this study, graphene/silver nanowire (Gr/AgNW)-based, Fe-C coated long period fiber gratings (LPFG) sensors were tested up to 72 hours in 3.5 w.t% NaCl solution for corrosion-induced mass loss measurement under four strain levels: 0, 500, 1000 and 1500 µ∈. The crack and interfacial bonding behaviors of laminate Fe-C and Gr/AgNW layer structures were characterized using Scanning Electron Microscopy (SEM) and electrical resistance measurement. Both optical transmission spectra and electrical impedance spectroscopy (EIS) data were simultaneously measured from each sensor. Under increasing strains, transverse cracks appeared first and were followed by longitudinal cracks on ...

Flood Prediction And Uncertainty Estimation Using Deep Learning, Vinayaka Gude, Steven Corns, Suzanna Long

Engineering Management and Systems Engineering Faculty Research & Creative Works

Floods are a complex phenomenon that are difficult to predict because of their non-linear and dynamic nature. Therefore, flood prediction has been a key research topic in the field of hydrology. Various researchers have approached this problem using different techniques ranging from physical models to image processing, but the accuracy and time steps are not sufficient for all applications. This study explores deep learning techniques for predicting gauge height and evaluating the associated uncertainty. Gauge height data for the Meramec River in Valley Park, Missouri was used to develop and validate the model. It was found that the deep learning ...

A Simplified Method For Experimentally Quantifying Crude Oil Swelling During Immiscible Carbon Dioxide Injection, Sherif Fakher, Abdulmohsin Imqam

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

Immiscible carbon dioxide (CO₂) injection is one of the highly applied enhanced oil recovery (EOR) methods due to its high oil recovery potential and its ability to store CO₂ in the reservoir. The main mechanism of immiscible CO₂ injection is oil swelling. Generally, oil swelling is measured experimentally or measured using modeling methods. This research conducts oil swelling experiments using a simplified method in order to easily and accurately measure oil swelling and determines some of the most significant factors that may impact oil swelling during CO₂ injection. The impact of varying CO₂ injection pressure ...

Insights Into The Applications Of Waste Materials In The Oil And Gas Industry: State Of The Art Review, Availability, Cost Analysis, And Classification, Abo Taleb T. Al-Hameedi, Husam H. Alkinani, Hussein W. Albazzaz, Shari Dunn-Norman, Mohammed M. Alkhamis

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

This study investigates different types of waste materials and their applicability in the oil and gas industry as well as analyzing various applications of these waste materials in the petroleum industry. This study also explores the availability of these waste materials by performing a statistical analysis in a good number of countries worldwide. The statistical study was performed starting with a study on which countries generate waste the most overall, followed by examining multiple countries and investigating their top three most available waste. The results showed that the USA is the leading country in terms of municipal solid waste generation ...

The Heuristic Dynamic Programming Approach In Boost Converters, Sepehr Saadatmand, Pourya Shamsi, Mehdi Ferdowsi

Electrical and Computer Engineering Faculty Research & Creative Works

In this study, a heuristic dynamic programming controller is proposed to control a boost converter. Conventional controllers such as proportional-integral-derivative (PID) or proportional-integral (PI) are designed based on the linearized small-signal model near the operating point. Therefore, the performance of the controller during the start-up, the load change, or the input voltage variation is not optimal since the system model changes by varying the operating point. The heuristic dynamic programming controller optimally controls the boost converter by following the approximate dynamic programming. The advantage of the HDP is that the neural network-based characteristic of the proposed controller enables boost converters ...

The Voltage Regulation Of A Buck Converter Using A Neural Network Predictive Controller, Sepehr Saadatmand, Pourya Shamsi, Mehdi Ferdowsi

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, a neural network predictive controller (NNPC) is proposed to control a buck converter. Conventional controllers such as proportional-integral (PI) or proportional-integral-derivative (PID) are designed based on the linearized small-signal model near the operating point. Therefore, the performance of the controller in the start-up, load change, or reference change is not optimal since the system model changes by changing the operating point. The neural network predictive controller optimally controls the buck converter by following the concept of the traditional model predictive controller. The advantage of the NNPC is that the neural network system identification decreases the inaccuracy of ...

Full-Set Measurements Dataset For A Water-Based Drilling Fluid Utilizing Biodegradable Environmentally Friendly Drilling Fluid Additives Generated From Waste, Abo Taleb Al-Hameedi, Husam Hasan Alkinani, Shari Dunn-Norman, Mohammed M. Alkhamis, Justin D. Feliz

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

The oil and gas industry is moving towards more environmentally friendly practices. The environmental regulations regarding drilling waste management and disposal are motivating the industry to be more efficient with drilling operations. Environmentally friendly drilling fluid additives used in drilling operations reduces not only the negative implications on the environment but also reduces costs. This paper provides an experimental dataset of utilizing biodegradable waste materials as environmentally friendly drilling fluid additives. The data were collected through experimental evaluations of several waste materials including Potato Peels Powder (PPP), Mandarin Peels Powder (MPP), Fibrous Food Waste Material (FFWM), Palm Tree Leaves Powder ...

Experimental Investigation Of Bio-Enhancer Drilling Fluid Additive: Can Palm Tree Leaves Be Utilized As A Supportive Eco-Friendly Additive In Water-Based Drilling Fluid System?, Abo Taleb T. Al-Hameedi, Husam H. Alkinani, Shari Dunn-Norman, Mustafa A. Al-Alwani, Waleed H. Al-Bazzaz, Abdullah F. Alshammari, Hussien W. Albazzaz, Rusul A. Mutar

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

Serious problems will be presented due to using conventional chemical additives to regulate the drilling mud properties, as they have health, safety, and environmental side effects. Thus, there is a considerable necessity for alternative multifunctional bio-enhancer drilling mud additives, which can assist in optimizing the drilling fluid specifications and enhance its effectiveness with the least effects on the environment and the drilling personnel safety. The effects of adding two concentrations of palm tree leaves powder (PTLP) to water-based mud were conducted under fresh and aged conditions using standard API drilling fluids testing methods such as rheometer/viscometer, pH meter and ...

A Flood Risk Management Program Of Wadi Baysh Dam On The Downstream Area: An Integration Of Hydrologic And Hydraulic Models, Jizan Region, Ksa, Mazen M. Abu-Abdullah, Ahmed M. Youssef, Norbert H. Maerz, Emad Abu-Alfadail, Hasan M. Al-Harbi, Nasser S. Al-Saadi

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

For public safety, especially for people who dwell in the valley that is located downstream of a dam site, as well as the protection of economic and environmental resources, risk management programs are urgently required all over the world. Despite the high safety standards of dams because of improved engineering and excellent construction in recent times, a zero-risk guarantee is not possible, and accidents can happen, triggered by natural hazards, human actions, or just because the dam is aging. In addition to that is the impact of potential climate change, which may not have been taken into account in the ...

Frequency-Selective Metasurface Integrated Uncooled Microbolometers, Mahmoud Almasri, Edward C. Kinzel

Mechanical and Aerospace Engineering Faculty Research & Creative Works

A metasurface integrated microbolometer having a sensing layer (e.g., SixGeyO1-x-y). The presence of the metasurface provides selectivity with respect to wavelength, polarization and angle-of-incidence. The presence of the metasurface into the microbolometer affects conversion of electromagnetic to thermal energy, thermal response, electrical integration of the microbolometer, and the tradeoff between resistivity and temperature coefficient of resistance, thereby allowing the ability to obtain a sensing with high temperature coefficient of resistance with lower resistivity values than that of films without the metasurface. The presence of the metasurface removes the need for a Fabry-Perot cavity.

The Voltage Regulation Of Boost Converters Using Dual Heuristic Programming, Sepehr Saadatmand, Sima Azizi, Mohammadamir Kavousi

Graduate Student Research & Creative Works

In this paper, a dual heuristic programming controller is proposed to control a boost converter. Conventional controllers such as proportional-integral-derivative (PID) or proportional-integral (PI) are designed based on the linearized small-signal model near the operating point. Therefore, the performance of the controller during start-up, load change, or input voltage variation is not optimal since the system model changes by varying the operating point. The dual heuristic programming controller optimally controls the boost converter by following the approximate dynamic programming. The advantage of the DHP is that the neural network–based characteristic of the proposed controller enables boost converters to easily ...

Autonomous Control Of A Line Follower Robot Using A Q-Learning Controller, Sepehr Saadatmand, Sima Azizi, Mohammadamir Kavousi, Donald C. Wunsch

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, a MIMO simulated annealing (SA)-based Q-learning method is proposed to control a line follower robot. The conventional controller for these types of robots is the proportional (P) controller. Considering the unknown mechanical characteristics of the robot and uncertainties such as friction and slippery surfaces, system modeling and controller designing can be extremely challenging. The mathematical modeling for the robot is presented in this paper, and a simulator is designed based on this model. The basic Q-learning methods are based pure exploitation and the ε -greedy methods, which help exploration, can harm the controller performance after learning ...

Battery-Free Antenna Sensors For Strain And Crack Monitoring: Data Report, Yang Wang, Dan Lin

Project SN-2

A total of 15 data sets are submitted along with the final project report. The submission contains a combination of simulated and experimental data sets. The formats include text files (both *.txt and *.tff), MATLAB data *.mat files, and MATLAB plotting code *.m files.

The simulation and experimental procedures generating each data set is elaborated in detail in the final report, and are thus not repeated herein. Upon unzipping the data package, the 15 data sets can be seen organized in 15 subfolders (some in the first level and some in the second level subfolders).

To help a reader relate ...

Battery-Free Antenna Sensors For Strain And Crack Monitoring: Technical Report, Yang Wang, Dan Lin

Project SN-2

This project studies a wireless patch antenna as a novel strain/crack sensing technique for structural health monitoring (SHM). The strain/crack induced resonance frequency shift of the antenna can be wirelessly detected and utilized to estimate the surface strain and crack propagation. However, temperature fluctuation can generate some unwanted changes in resonance frequency and introduce significant noises in measurement. This project studies a thermally stable patch antenna sensor through both numerical simulations and laboratory experiments. Using a substrate material with a steady dielectric constant, a patch antenna sensor is designed to perform reliably under temperature fluctuations. In addition, a ...

Effect Of Subsurface Microseismicity On The Motion Of Surrounding Dispersed Droplets: Supporting Information, Chao Zeng, Wen Deng

Research Data

The human-induced seismicity has called substantial attention in recent years. The effect of seismicity on the subsurface structure has been extensively studied. However, the effect of seismicity, especially those microseismicity, on surrounding immiscible fluids is rarely investigated. In porous media with two or more immiscible fluids, different amplitudes of vibration induced by seismicity have distinct effects on the dynamic behavior of fluids. Three types of pore-scale models are prevalent in the analysis of the motion of immiscible droplets. The underlying assumptions and accuracy of these models are compared in this study in both frequency domain and time domain. The frequency ...

Effect Of Subsurface Microseismicity On The Motion Of Surrounding Dispersed Droplets -- Data, Chao Zeng, Wen Deng

Effect of Subsurface Microseismicity on the Motion of Surrounding Dispersed Droplets – Data

Spreadsheet - Data plotted in Figure 4 and Figure 5

Supporting information

Measurement Of Sub-2 Nm Stable Clusters During Silane Pyrolysis In A Furnace Aerosol Reactor, Miguel Vazquez-Pufleau, Yang Wang, Pratim Biswas, Elijah Thimsen

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The initial stages of particle formation are important in several industrial and environmental systems; however, the phenomenon is not completely understood due to the inability to measure cluster size distributions. A high resolution differential mobility analyzer with an electrometer was used to map out the early stages of Si particle formation from pyrolysis of SiH4 in a furnace aerosol reactor. We detected for the first time subnanometer stable clusters from silane pyrolysis, and the diameter was measured to be about 0.7 nm. This diameter is within the range of probable sizes that the reported families of critical silane clusters ...

The Ethical Challenges Of Antimicrobial Resistance For Nurse Practitioners, Sarah Oerther, Daniel B. Oerther

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

No abstract provided.

Guest Editorial-Special Issue On Ground Control In Mining In 2019, Michael M. Murphy, Ted Klemetti, Heather Lawson, Brijes Mishra, Kyle A. Perry

Mining and Nuclear Engineering Faculty Research & Creative Works

No abstract provided.

Incremental Cluster Validity Indices For Online Learning Of Hard Partitions: Extensions And Comparative Study, Leonardo Enzo Brito Da Silva, Niklas Max Melton, Donald C. Wunsch

Electrical and Computer Engineering Faculty Research & Creative Works

Validation is one of the most important aspects of clustering, particularly when the user is designing a trustworthy or explainable system. However, most clustering validation approaches require batch calculation. This is an important gap because of the value of clustering in real-time data streaming and other online learning applications. Therefore, interest has grown in providing online alternatives for validation. This paper extends the incremental cluster validity index (iCVI) family by presenting incremental versions of Calinski-Harabasz (iCH), Pakhira-Bandyopadhyay-Maulik (iPBM), WB index (iWB), Silhouette (iSIL), Negentropy Increment (iNI), Representative Cross Information Potential (irCIP), Representative Cross Entropy (irH), and Conn_Index (iConn_Index). This paper ...

Numerical Study Of Paramagnetic Elliptical Microparticles In Curved Channels And Uniform Magnetic Fields, Christopher Sobecki, Jie Zhang, Cheng Wang

Mechanical and Aerospace Engineering Faculty Research & Creative Works

We numerically investigated the dynamics of a paramagnetic elliptical particle immersed in a low Reynolds number Poiseuille flow in a curved channel and under a uniform magnetic field by direct numerical simulation. A finite element method, based on an arbitrary Lagrangian-Eulerian approach, analyzed how the channel geometry, the strength and direction of the magnetic field, and the particle shape affected the rotation and radial migration of the particle. The net radial migration of the particle was analyzed after executing a π rotation and at the exit of the curved channel with and without a magnetic field. In the absence of ...