Engineering Commons^™

External Direct Sum Invariant Subspace And Decomposition Of Coupled Differential-Difference Equations, Keqin Gu, Huan Phan-Van

SIUE Faculty Research, Scholarship, and Creative Activity

This article discusses the invariant subspaces that are restricted to be external direct sums. Some existence conditions are presented that facilitate finding such invariant subspaces. This problem is related to the decomposition of coupled differential-difference equations, leading to the possibility of lowering the dimensions of coupled differential-difference equations. As has been well documented, lowering the dimension of coupled differential-difference equations can drastically reduce the computational time needed in stability analysis when a complete quadratic Lyapunov-Krasovskii functional is used. Most known ad hoc methods of reducing the order are special cases of this formulation.

Enhancing Wettability Prediction In The Presence Of Organics For Hydrogen Geo-Storage Through Data-Driven Machine Learning Modeling Of Rock/H2/Brine Systems, Zeeshan Tariq, Muhammad Ali, Nurudeen Yekeen, Auby Baban, Bicheng Yan, Shuyu Sun, Hussein Hoteit

Research outputs 2022 to 2026

The success of geological H2 storage relies significantly on rock–H2–brine interactions and wettability. Experimentally assessing the H2 wettability of storage/caprocks as a function of thermos-physical conditions is arduous because of high H2 reactivity and embrittlement damages. Data-driven machine learning (ML) modeling predictions of rock–H2–brine wettability are less strenuous and more precise. They can be conducted at geo-storage conditions that are impossible or hazardous to attain in the laboratory. Thus, ML models were utilized in this research to accurately model the wettability behavior of a ternary system consisting of H2, rock minerals (quartz and mica), and brine at different operating geological …

The Need For Energy Storage On Renewable Energy Generator Outputs To Lessen The Geeth Effect, I.E. Short-Term Variations Mainly Associated With Wind Turbine Active Power Output, Tony Kealy

Articles

Many studies investigating the short-term variations associated with the power output from wind turbine generators utilise simulated or modelled data in the analysis. This current study uses short-term empirical data downloaded directly from operational wind turbines via electrical power quality meters. The empirical data shows that the short-term variations (one-second or sub-one-second timeframe) occur continuously over most of the power output range. A novel name is proposed, the Geeth Effect, for this variability phenomenon. The Geeth Effect is measured using the coefficient of variation mathematical expression and is likely contributing to (i) lower-than-expected financial and environmental benefits associated with …

Understanding Support For Student Veterans And Servicemembers In Public Undergraduate Engineering Programs, Hannah Wilkinson

All Graduate Theses and Dissertations, Fall 2023 to Present

Current efforts to increase research in diversity, equity, and inclusion in engineering education have included research with military students pursuing undergraduate degrees in engineering at civilian, public academic institutions. In this thesis research, military students are defined as undergraduate students who a) have completed their service in the U.S. Armed Forces and are considered military veterans, and/or b) are current enlisted service members, such as in the U.S. Reserves or National Guard. An emerging topic of interest within the military student literature in engineering education has sought to explore the influence of “institutional agents” within military students’ experiences. The …

Student Reliance On Simulations: The Extent That Engineering Students Rely On The Outcomes Of Their Simulations, Jonathan Anderson

All Graduate Theses and Dissertations, Fall 2023 to Present

The purpose of this research was to investigate the factors that contributed to engineering education students’ reliance on technology while learning new concepts. The researcher hypothesized that students would give reliance to their technology, even in the face of evidence that the technology was not working as intended. This research used a mixed-methods approach to answer the research questions. Three questions guided the research: (1) How are the participant’s level of automation complacency and the correctness of the simulation that participant is using related?; (2) How is automation bias related to a participant’s ability to recognize errors in a simulation?; …

Rabrs For Use In Biologically Enhanced Precipitation Of Struvite In Anaerobic Digester Effluent (Municipal Wastewater), Parker R. Goldsberry

All Graduate Theses and Dissertations, Fall 2023 to Present

Rotating Algae Biofilm Reactor (RABR) technology has been researched in studies over the past decade directed at nutrient management for water resource recovery facilities (WRRFs). This study investigated the growth of slow-release fertilizer crystals, referred to as struvite, in the algae biofilms of Rotating Algae Biofilm Reactors (RABRs) at the Central Valley Water Reclamation Facility, the largest water resource recovery facility in the State of Utah. RABRs used anaerobic digester (AD) filtrate as their nutrient source. AD effluent is high in nutrients like nitrogen and phosphorus. The levels of both phosphorus and nitrogen (in the form of ammonia) are regulated …

An Improved Genetic Algorithm Based Fractional Open Circuit Voltage Mppt For Solar Pv Systems, Aakash Hassan, Octavian Bass, Mohammad A. S. Masoum

Research outputs 2022 to 2026

To extract the maximum power from solar PV, maximum power point tracking (MPPT) controllers are needed to operate the PV arrays at their maximum power point under varying environmental conditions. Fractional Open Circuit Voltage (FOCV) is a simple, cost-effective, and easy to implement MPPT technique. However, it suffers from the discontinuous power supply and low tracking efficiency. To overcome these drawbacks, a new hybrid MPPT technique based on the Genetic Algorithm (GA) and FOCV is proposed. The proposed technique is based on a single decision variable, reducing the complexity and convergence time of the algorithm. MATLAB/Simulink is used to test …

On The Effect Of Emotion Identification From Limited Translated Text Samples Using Computational Intelligence, Madiha Tahir, Zahid Halim, Muhmmad Waqas, Shanshan Tu

Research outputs 2022 to 2026

Emotion identification from text data has recently gained focus of the research community. This has multiple utilities in an assortment of domains. Many times, the original text is written in a different language and the end-user translates it to her native language using online utilities. Therefore, this paper presents a framework to detect emotions on translated text data in four different languages. The source language is English, whereas the four target languages include Chinese, French, German, and Spanish. Computational intelligence (CI) techniques are applied to extract features, dimensionality reduction, and classification of data into five basic classes of emotions. Results …

Residual Trapping Of Co2, N2, And A Co2-N2 Mixture In Indiana Limestone Using Robust Nmr Coreflooding: Implications For Co2 Geological Storage, Amer Alanazi, Auby Baban, Muhammad Ali, Alireza Keshavarz, Stefan Iglauer, Hussein Hoteit

Research outputs 2022 to 2026

Carbon capture and sequestration (CCS) in geological formations is a prominent solution for reducing anthropogenic carbon emissions and mitigating climate change. The capillary trapping of CO2 is a primary trapping mechanism governed by the pressure difference between the wetting and nonwetting phases in a porous rock, making the latter a key input parameter for dynamic simulation models. During the CCS operational process, however, the CO2 is prone to contamination by impurities from various sources such as surfaces (e.g., pipelines and tanks) and the subsurface (e.g., existing natural gas). Such contamination can strongly influence the overall CO2 wettability, storage capacity, and …

Representativeness Evaluation Of Delta-Flux Eddy Covariance Towers For Assessing Greenhouse Gas Emissions From Rice Fields In The Mid-South Region, Katherine Skiles

Biological and Agricultural Engineering Undergraduate Honors Theses

Rice grown in 5 states across the Mid-South (AR, LA, MS, TX, and MO) account for nearly 80% of all domestic U.S. rice production. Methane emissions produced during rice farming and the large seasonal water demand to maintain flooded fields have created a need for alternative irrigation research that can reduce methane emissions and conserve water. Structures called eddy covariance towers (ECTs) can observe methane and other flux responses to changing irrigation styles, and their data is shared across flux tower networks such as Delta-Flux in the Mid-South. The Delta-Flux network is relatively new, and its data-sharing capacity is not …

The Private Pilot Check Ride: Applying The Spacing Effect Theory To Predict Time To Proficiency For The Practical Test, Michael Scott Harwin

Theses and Dissertations

This study examined the relationship between a set of targeted factors and the total flight time students needed to become ready to take the private pilot check ride. The study was grounded in Ebbinghaus’s (1885/1913/2013) forgetting curve theory and spacing effect, and Ausubel’s (1963) theory of meaningful learning. The research factors included (a) training time to proficiency, which represented the number of training days needed to become check-ride ready; (b) flight training program (Part 61 vs. Part 141); (c) organization offering the training program (2- or 4-year college/university vs. FBO); (d) scheduling policy (mandated vs. student-driven); and demographical variables, which …

Optimization Of High-Order Statistical Moment Combinations To Best Represent Spray Flow Particle Probability Density Functions, Amanda Lynn Myers

Theses and Dissertations

Characterizing spray flows has been an issue of interest for years, particularly in regards to fuel injection in engines. Droplet velocity and diameter, among other characteristics, are crucial to understanding spray flows. One approach for determining these quantities in a spray is using a statistical approach that solves for the moments of droplet characteristics as they evolve in space and time. A theoretical probability density function (PDF) can be formulated using various combinations of moments which evolve according to derived moment transport equations (thus evolving the PDF), using the principle of maximum entropy as closure to the system. Building upon …

Perfusability And Immunogenicity Of Implantable Pre-Vascularized Tissues Recapitulating Features Of Native Capillary Network, Dhavan Sharma, Archita Sharma, Linghao Hu, Te An Chen, Sarah Voon, Kayla J. Bayless, Jeremy Goldman, Alex J. Walsh, Feng Zhao

Michigan Tech Publications, Part 2

Vascularization is a key pre-requisite to engineered anatomical scale three dimensional (3-D) constructs to ensure their nutrient and oxygen supply upon implantation. Presently, engineered pre-vascularized 3-D tissues are limited to only micro-scale hydrogels, which meet neither the anatomical scale needs nor the complexity of natural extracellular matrix (ECM) environments. Anatomical scale perfusable constructs are critically needed for translational applications. To overcome this challenge, we previously developed pre-vascularized ECM sheets with long and oriented dense microvascular networks. The present study further evaluated the patency, perfusability and innate immune response toward these pre-vascularized constructs. Macrophage-co-cultured pre-vascularized constructs were evaluated in vitro to …

Effects Of Simultaneous Co2 Addition To The Fuel And Oxidizer Streams On Soot Formation In Co-Flow Diffusion Ethylene Flame, Yu Yang, Shu Zheng, Yuzhen He, Hao Liu, Ran Sui, Qiang Lu

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Soot formation in a co-flow diffusion ethylene flame with the addition of CO₂ to the fuel (the CO₂-F), oxidizer (the CO₂-O), and fuel/oxidizer (the CO₂-F/O) streams was numerically and experimentally investigated in this study. The effects of different CO₂ addition ways on soot inception, soot condensation, H-abstraction-C₂H₂-addition (HACA) and oxidation by O₂/OH processes, were quantitatively analyzed by introducing the integrated reaction rates over the whole computational domain. The simulated and experimental results showed that the CO₂-F/O was the most effective in inhibiting soot formation …

A Novel Renewable Energy Powered Zero Liquid Discharge Scheme For Ro Desalination Applications, Mamdouh A. Gadalla, Amr Abdel Fatah, Hany A. Elazab

Chemical and Biochemical Engineering Faculty Research & Creative Works

This work proposes a conceptual model for a Zero Liquid Discharge (ZLD) for Reverse Osmosis (RO) desalination. The model describes a Process Flow Diagram (PFD). The proposed process relies on an RO followed by electrolyser, solar evaporator and mixing tank. The water reject from the RO is split into three fractions, one to an electrolyser to produce H2, another to solar evaporator to produce fresh water, third is remixed with water from the evaporator to reduce the salinity of the RO feed. The hydrogen produced in the electrolyser is burned and its energy is stored using cement blocks. The evaporator …

International Information Management And Bim Best Practice Report, Ted Mckenna, Davitt Lamon

Reports

In order to inform the Digital Leadership and Cultural Change pillar of the Build Digital, a study of international best practice in digital adoption within the built environment sector globally was undertaken and is presented here-in. In order to identify key learnings for Ireland in the context of digital transformation, eight countries were included in this study, namely, Denmark, Finland, Netherlands, Germany, United Kingdom (UK), New Zealand, Australia and Singapore. These countries were selected for various reasons, including the level of digital maturity, the scale of the built environment sector and geographic spread. Key data for each country is included …

Information Management And Bim Standards And Supports Inventory, Ryan Dempsey, Barry Mcauley, David Burke

Tools

The Digital Standards pillar consists of industry experts who champion the benefits of common rules, guidelines, and workflows that facilitate the improvement of information flow and information management across asset life cycles. Digital standards provide a common language that can be translated to technical specifications enabling clients, designers, contractors, and facilities managers, irrespective of their preferred tools, to communicate efficiently and reduce cost, rework, and disputes. Working closely with the Digital Procurement and Digital Education and Training pillars, this pillar is developing and delivering Irish Information Management/BIM (Digital Construction) guidelines for the sector.

This report summarises existing digital construction standards, …

Sustainability And Circular Economy Horizon Scan And Needs Analysis, Sadaf Dalirazar, Mark Kelly, Derek Sinnott, James O'Donnell

Reports

The construction industry plays a crucial role in addressing the climate crisis as it is the largest global consumer of raw materials and contributes significantly to global energy consumption and emissions. Considering the world’s continuous population growth and the imperative to address infrastructure and housing demands the construction sector needs to adopt further sustainable strategies in its activities to reduce the pressure on natural resources. In addition, the Architecture, Engineering, and Construction (AEC) sector is responsible for generating substantial amount of waste known as Construction and Demolition Waste (CDW), which is projected to increase due to the future construction developments. …

Digital Construction Annual Survey 2022 Report, Davitt Lamon, Ted Mckenna

Reports

The Annual Survey 2022 was conducted to assess the state of digital transformation in the Irish construction and built environment sector. This report presents the analysis of survey data, with a focus on implications for the Build Digital project and Build Digital’s five pillars: Digital Leadership & Cultural Change, Digital Standards, Digital Education & Training, Digital Procurement, and Sustainability & Circular Economy. Key findings from the survey indicated that a significant number of organisations have started their digital transformation journey, with many identifying themselves as proactive and possessing a clear business-focused strategy. However, a considerable cohort of respondents are keen …

Experimental Study Of Surfactants’ Performance For Suppressing Coal Dust With Respirable Size, Zidong Zhao, Ping Chang, Guang Xu, Apurna Ghosh, Ramakrishna Morla

Mining Engineering Faculty Research & Creative Works

Long-term exposure to coal dust can lead to severe health problems in coal workers, including Coal Workers' Pneumoconiosis, making effective control of coal dust in underground mines essential. Water spraying is a widely used method for controlling coal dust, and adding surfactants can remarkably enhance its effectiveness. While previous studies have examined the influences of different coal particle sizes on surfactant performance, they have primarily focused on inhalable dust with sizes less than 100 µm. The impact of finer particle sizes, such as respirable dust with sizes less than 10 µm, remains inconclusive. This study aims to investigate the effects …