Other Engineering Commons^™

Ahp Based Multi Criteria Decision Analysis Of Success Factors To Enhance Decision Making In Infrastructure Construction Projects, Solomon Belay, James D. Goedert, Asregedew Woldesenbet, Saeed Rokooei

Durham School of Architectural Engineering and Construction: Faculty Publications

The study presents analytical data-based multi-criteria approach of critical success factors of infrastructure construction projects analyzed in the Ethiopian construction industry. This multi-criteria technique helps to improve the decision capabilities and ultimate performance of construction processes in various low-income countries of the East African region. The aim of this paper is to establish a logical relationship and interdependencies of success-related factors for enhancing decision making for various project teams and identify priorities while taking into account all known construction organizational constraints. A structured hierarchical matrix was developed based on a pre-identified success-related factors, and initially evaluated by experienced professionals as …

Representation Learning For Chemical Activity Predictions, Mohamed S. Ayed

Dissertations, Theses, and Capstone Projects

Computational prediction of a phenotypic response upon the chemical perturbation on a biological system plays an important role in drug discovery and many other applications. Chemical fingerprints derived from chemical structures are a widely used feature to build machine learning models. However, the fingerprints ignore the biological context, thus, they suffer from several problems such as the activity cliff and curse of dimensionality. Fundamentally, the chemical modulation of biological activities is a multi-scale process. It is the genome-wide chemical-target interactions that modulate chemical phenotypic responses. Thus, the genome-scale chemical-target interaction profile will more directly correlate with in vitro and in …

Resource Availability And Implications For The Development Of Plug‐In Electric Vehicles, Ona Egbue, Suzanna Long, Seong Dae Kim

Engineering Management and Systems Engineering Faculty Research & Creative Works

Plug‐in electric vehicles (PEVs) have immense potential for reducing greenhouse gas emissions and dependence on fossil fuels, and for smart grid applications. Although a great deal of research is focused on technological limitations that affect PEV battery performance targets, a major and arguably equal concern is the constraint imposed by the finite availability of elements or resources used in the manufacture of PEV batteries. Availability of resources, such as lithium, for batteries is critical to the future of PEVs and is, therefore, a topic that needs attention. This study addresses the issues related to lithium availability and sustainability, particularly supply …

Designing And Implementing A Novel Graduate Program To Develop Transdisciplinary Leaders In Urban Sustainability, Megan M. Wallen, Ingrid Guerra-Lopez, Louay Meroueh, Rayman Mohamed, Andrea Sankar, Pradeep Sopory, Ryan Watkins, Donna R. Kashian

Biological Sciences Faculty Research Publications

Urban settings, where >50% of the world's population resides, are increasingly faced with environmental challenges that threaten their sustainability. Aging infrastructure, water and air pollution, and increasing recognition of environmental injustices highlight the need for professionals to employ complex scientific reasoning across disciplines where they can effectively address the multifaceted issues of urban sustainability. Here we present an innovative model for preparing the next generation of public, private, and academic leaders to address complex problems in urban sustainability. Specifically, we outline the design and implementation of an integrated, adaptable graduate training program, with the goals of science leadership, curriculum relevancy, …

Preparing A Gamma Ray Instrument For Space Flight, Peter A. Jenke, Michael Briggs

Summer Community of Scholars (RCEU and HCR) Project Proposals

No abstract provided.

Availability Heuristic In Construction Workforce Decision-Making Amid Covid-19 Pandemic: Empirical Evidence And Mitigation Strategy, Yunping Liang, Anil Baral, Mohsen Shahandashti, Baabak Ashuri

Durham School of Architectural Engineering and Construction: Faculty Publications

The decision-making situations of the construction workforce have been drastically altered since the outbreak of the Coronavirus 2019 (COVID-19) pandemic. The new situation, where decision-makers strive to promptly respond to the unprecedented crisis to sustain essential construction operations without compromising the safety and health of workers, implies the presence of an availability heuristic. An availability heuristic has the potential to bring unconscious, systematic errors to the decision-making process. This study creates a decision-making experiment to empirically examine the presence of an availability heuristic and the effectiveness of a corresponding mitigation strategy in construction workforce decision-making under COVID-19 uncertainties. The experiment …

There From The Beginning: The Women Of Los Alamos National Laboratory Supporting National And International Nuclear Security, Olga Martin, Laura Mcclellan, Octavio Ramos, Heather Quinn

International Journal of Nuclear Security

From the beginning of the Manhattan Project in the early 1940s, the women of what would become Los Alamos National Laboratory (LANL) worked in technical positions alongside their male counterparts, played a key role as computers, and worked in administrative jobs as secretaries, phone operators, bookkeepers, and on behalf of the U.S. Army in the Women’s Army Corps.

Throughout the history of the Laboratory, women experts at LANL helped establish and lead important national and international security programs, with careers in science, technology, engineering, and mathematics. Over time, the women of Los Alamos have come together under various Employee Resource …

Passage Tombs And Wind Turbines—A Contested Relationship?, Frank Prendergast, Muiris O'Sullivan Prof

Articles

Geospatial and archaeoastronomical analysis of the proposed location of large-scale wind turbines showed a significant negative visual impact on two National Monuments (Knockroe and Kilkieran) and on a hilltop passage tomb at Baunfree. These places straddle county boundaries and their constituent monuments are components of a rare and internationally important prehistoric landscape. Tipperary County Council gave considerable weight to the findings described in this paper in making their decision to refuse planning permission.

Preparing Engineering Students For The Challenges Of The Sdgs: What Competences Are Required?, Una Beagon, Klara Kövesi, Brad Tabas, Bente Nørgaard, Riitta Lehtinen, Brian Bowe, Christiane Gillet, Claus Monrad Spliid

Articles

Despite the emerging discussions about the growing role of engineers in achieving the Sustainable Development Goals (SDGs), there is a lack of agreement on which competences should be prioritised to prepare engineering students to resolve future sustainability challenges. This study examined and compared the views of key stakeholders of engineering education (Academics, Employers and Students) using twelve focus groups in Denmark, Finland, France and Ireland. The findings were mapped against competences identified in previous studies to highlight gaps and opportunities for development. The results confirm the strong emphasis on normative, strategic and systems thinking competences in engineering. However, the outcomes …

Determining Cause Of Failure For Load Cells Supporting Vertical Pressure Vessels Subject To Wind Loading, Seth Nowak

College of Graduate Studies: Theses & Dissertations

Wind loads cannot be avoided during a natural disaster such as a hurricane and could affect the strength and stability of vertical pressure vessels during exposure. Vertical pressure vessels cater to large wind loads; therefore, it is imperative to study the effect of additional loading on the structures. In this study, three pressure vessels with volumes of 50 CuFt, 200 CuFt, and 1100 CuFt, supported by three equidistant load cells under their legs are individually analyzed to determine von mises stress to estimate yield failure criteria. Two load rating criteria, maximum load capacity and water-filled condition (critical condition) are utilized …

Maintenance Optimization In A Digital Twin For Industry 4.0, Abhijit Gosavi, Vy Khoi Le

Engineering Management and Systems Engineering Faculty Research & Creative Works

The advent of Internet of Things and artificial intelligence in the era of Industry 4.0 has transformed decision-making within production systems. In particular, many decisions that previously required significant human activity are now made automatically with minimal human intervention via so-called digital twins (DTs). In the context of maintenance and reliability modeling, this naturally calls for new paradigms that can be seamlessly integrated within DTs for decision-making. The input data for time to failure needed in reliability computations are directly collected from the work center in a digital setting and often do not satisfy a known distribution. A neural network …

Impact Of Covid-19 On The Diversity Of The Construction Workforce, Anil Baral, Yunping Liang, Mingshu Li, Marilyn Gonzalez, Mohsen Shahandashti, Baabak Ashuri

Durham School of Architectural Engineering and Construction: Faculty Publications

Construction industry employment has been severely impacted by the coronavirus (COVID-19) pandemic. This paper examines the impact of the COVID-19 pandemic in the US construction labor market. This study contributes to the state of knowledge by (1) revealing how the COVID-19 pandemic impacted construction employment across different demographic groups and geographic regions in the US, and (2) identifying vulnerable demographic groups (e.g., minorities, women, older workers) in the construction workforce that are disproportionally impacted by the pandemic. Employment data from the Current Population Survey and Current Employment Statistics (CES) programs, which are administered by the Bureau of Labor Statistics, are …

High Precision Pipeline Leak Detection And Localization Using Negative Pressure Wave Technique: An Application In A Real Field Case Study, Nathaniel C. Moryan

Graduate Theses, Dissertations, and Problem Reports (ETD)

One of the most important aspects of oil and gas production is the safe and efficient fluid transportation using pipelines. Pipelines transporting various fluids are the most efficient but are susceptible to failure and leaks. These leaks can come about through natural disaster, as well as from general wear from the pipes that could result in major environmental and economic problems. The ability to detect leaks with speed and accuracy, as well as locating these leaks within a narrow range, will aid with the maintenance response. Hasty responses will minimize the revenue loss and reduce potential environmental impact but bring …

Tilt-Up Partially Composite Insulated Wall Panels, Marc Maguire, Salam Al-Rubaye

Durham School of Architectural Engineering and Construction: Faculty Publications

This research project was initiated to investigate the behavior of load-bearing concrete insulated wall panels for use in tilt-up construction. The primary objective was to understand the inelastic behavior of these panels so that engineers could perform a proper second-order analysis for combined axial and out-of-plane loading. Toward this aim, the Tilt-up Concrete Institute (TCA) and wythe connector suppliers Innstruct, Thermomass, HK Composites, Dayton Superior, and IconX, funded this study.

This report contains information related to testing of solid and partially composite insulated wall panels that integrated proprietary wythe connection systems. Using the information from these tests, a method to …

Challenges And Enabling Features Of Small And Medium Infrastructure Public-Private Partnerships (P3s): A Case Study Of The Us P3 Infrastructure Market, Yunping Liang, Baabak Ashuri

Durham School of Architectural Engineering and Construction: Faculty Publications

Purpose: In classical perspective, projects under a certain size are not feasible for P3. However, there is an emerging trend on using P3 to deliver projects that are frequently small to medium sized to meet ever-increasingly complex social needs, including enhancing lifecycle performance of existing facilities, designing and building for resilience and sustainability, ensuring cost effectiveness of public spending, and fostering innovation. In contrast with the increasing implementation, small and medium P3s, especially those in the United States, receive little attention in existing studies. This study aims at answering the question: in the context of the US, what features of …

Mechanism For Selective Binding Of Aromatic Compounds On Oxygen-Rich Graphene Nanosheets Based On Molecule Size/Polarity Matching, Heyun Fu, Bingyu Wang, Dongqiang Zhu, Zhicheng Zhou, Shidong Bao, Xiaolei Qu, Yong Guo, Lan Ling, Shourong Zheng, Pu Duan, Jingdong Mao, Klaus Schmidt-Rohr, Shu Tao, Pedro J.J. Alvarez

Chemistry & Biochemistry Faculty Publications

Selective binding of organic compounds is the cornerstone of many important industrial and pharmaceutical applications. Here, we achieved highly selective binding of aromatic compounds in aqueous solution and gas phase by oxygen-enriched graphene oxide (GO) nanosheets via a previously unknown mechanism based on size matching and polarity matching. Oxygen-containing functional groups (predominately epoxies and hydroxyls) on the nongraphitized aliphatic carbons of the basal plane of GO formed highly polar regions that encompass graphitic regions slightly larger than the benzene ring. This facilitated size match–based interactions between small apolar compounds and the isolated aromatic region of GO, resulting in high binding …

Comparing Galvanic Corrosion Rates Predicted From Polarization Curves With Empirical Data From A Carbon Steel And Monel Couple For A Various Geometries, Michael Hinnebusch

Williams Honors College, Honors Research Projects

The objective of this investigation was to compare the galvanic corrosion rate of carbon steel C1018 and Monel K-500 alloy in a bolt and plate geometry to that derived using Tafel plots. This was achieved using carbon steels sheets of steel with a pair of with varying the number of Monel bolts and varying spacing. It was found that the carbon steel plates do not corrode uniformly. This can create issues when using Polarization curves to assume galvanic corrosion rate of a carbon steel and Monel system. The geometry of the bolts can further affect this corrosion rate and make …

Electrochemical Impedance Spectroscopy Analysis Of Corrosion Of Reinforcing Steel In Fly Ash Mortar By Means Of Transmission Line Modeling, Padraig Stack

Williams Honors College, Honors Research Projects

Electrochemical impedance spectroscopy (EIS) is an important non-destructive tool that allows for a deeper understanding of the electrochemical processes and mechanisms occurring in an electrochemical cell. Equivalent electrical circuits (EECs) are used to model the impedance data into electrical components, such as resistors and capacitors, on a circuit. Current potentiostat offers software packages that can analyze the frequency response, but the software only supports “simple” EEC that can be written as fixed electrical components in some combination of series and parallel. Park and Macdonald propose a transmission line model (TLM) that does not use lumped-element models, instead, the values of …

Jointly-Learnt Networks For Future Action Anticipation Via Self-Knowledge Distillation And Cycle Consistency, Md Moniruzzaman, Zhaozheng Yin, Zhihai He, Ming-Chuan Leu, Ruwen Qin

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Future action anticipation aims to infer future actions from the observation of a small set of past video frames. In this paper, we propose a novel Jointly learnt Action Anticipation Network (J-AAN) via Self-Knowledge Distillation (Self-KD) and cycle consistency for future action anticipation. In contrast to the current state-of-the-art methods which anticipate the future actions either directly or recursively, our proposed J-AAN anticipates the future actions jointly in both direct and recursive ways. However, when dealing with future action anticipation, one important challenge to address is the future's uncertainty since multiple action sequences may come from or be followed by …

Incentive Analysis Of Blockchain Technology, Rahul Reddy Annareddy

Graduate Theses, Dissertations, and Problem Reports (ETD)

Blockchain technology was invented in the Bitcoin whitepaper released in 2008. Since then, several decentralized cryptocurrencies and applications have become mainstream. There has been an immense amount of engineering effort put into developing blockchain networks. Relatively few projects backed by blockchain technology have succeeded and maintained a large community of developers, users, and customers, while many popular projects with billions of dollars in funding and market capitalizations have turned out to be complete scams.

This thesis discusses the technological innovations introduced in the Bitcoin whitepaper and the following work of the last fifteen years that has enabled blockchain technology. A …

Ear Biometrics: A Comprehensive Study Of Taxonomy, Detection, And Recognition Methods, Susan Awm El-Naggar

Graduate Theses, Dissertations, and Problem Reports (ETD)

Due to the recent challenges in access control, surveillance and security, there is an increased need for efficient human authentication solutions. Ear recognition is an appealing choice to identify individuals in controlled or challenging environments. The outer part of the ear demonstrates high discriminative information across individuals and has shown to be robust for recognition. In addition, the data acquisition procedure is contactless, non-intrusive, and covert. This work focuses on using ear images for human authentication in visible and thermal spectrums. We perform a systematic study of the ear features and propose a taxonomy for them. Also, we investigate the …

Development Of A Machine Learning Model To Characterize The Performance Of A Selective Catalytic Reduction On Filter After-Treatment System For A Heavy-Duty Diesel Engine, Samuel A. Okeleye

Graduate Theses, Dissertations, and Problem Reports (ETD)

Particulate matter (PM) and Oxides of Nitrogen (NOx) are the major pollutants in diesel engines, an attempt to control one leads to an increase in the other, a phenomenon known as PM-NOx trade-off in diesel engine emission control. Currently, these two pollutants are controlled by the Diesel Particulate Filter (DPF) and the Selective Catalytic Reduction (SCR) after-treatment system respectively, in addition to the Diesel Oxidation Catalyst (DOC) which helps to provide 1:1 split of NO/NO₂ and helps with raising exhaust gas temperatures. Today, heavy-duty diesel engines feature a DPF, a primary SCR and a secondary SCR. Despite this complex …

Investigations Of The Therman Treatment Of Sodium Thiosulfate In Gas Streams For The Removal Of I2, Anjeza Arapi

Dissertations and Theses

The aim of this work was to study the performance of sodium thiosulfate in several systems. Sodium thiosulfate decomposition and SO2 conversion were analyzed using thermogravimetric analysis combined with chromatographic techniques. Thermogravimetric analysis (TGA) measurements determined the decomposition of the acidification reaction of 30% sodium thiosulfate solution in a 14% carbon dioxide (CO2) atmosphere and 1% hydrochloric acid (HCl) solution in the temperature regime of 300 - 750 K. Sodium thiosulfate and sulfur dioxide (SO2) are considered effective methods for removing iodine (I2) from air and flue-gas streams respectively. In acid containing gas-streams where the SO2 content is determined by …

Application Of Competitive Intelligence For Insular Territories: Automatic Analysis Of Scientific And Technology Trends To Fight The Negative Effects Of Climate Change, Henri Dou, Pierre Fournie

International Journal of Islands Research

Islands are fragile territories because of their geographical position. As a result, climate impacts can have serious consequences, of which some are irreversible. Therefore, it is necessary to allow insular territories to benefit from the latest scientific and technological advances in combating climate effects. The current article shows how to deal with automatic analysis of scientific information on the one hand, but also its applications via patents. We will analyse the latest scientific results as well as their possible applications using patent analysis. We will also focus on experts, laboratories, and leading companies, that are active on the field. The …

Intracavity Phase Interferometry Based Fiber Sensors, Luke Jameson Horstman

Optical Science and Engineering ETDs

Intracavity Phase Interferometry (IPI) is a detection technique that exploits the inherent sensitivity of a laser's frequency to the parameters of its cavity. Intracavity interferometry is orders of magnitude more sensitive than its extracavity alternatives. This dissertation improves on previous free-space proof-of-concept designs. By implementing the technique in fiber optics, using optical parametric oscillation, and investigating non-Hermitian quantum mechanics and dispersion tailoring enhancement techniques, IPI has become more applicable and sensitive. Ring and linear IPI configurations were realized in this work, both operating as bidirectional fiber optical parametric oscillators. The benefit of using externally pumped synchronous optical parametric oscillation is …

Ultrafast Spectroscopy Of Air Lasing In Filaments, Brian Robert Kamer

Optical Science and Engineering ETDs

Filamentation in air is a phenomenon that has been extensively investigated for the last two decades. At sufficiently high intensity, even air is a nonlinear medium. These intensities are reached with ultrashort pulses (50 to 100 fs) of more than 1 J energy, which self-focus in air, reach ionizing intensities of oxygen and nitrogen, creating a plasma that defocuses the beam. The air filament is a self-induced waveguide resulting from a balance of focusing and defocusing. In this work new techniques were developed to visualize and analyze this phenomenon through its emission, in particu- lar the UV emission of the …

The Application Of Mathematical Optimization And Flavor-Detection Technologies For Modeling Aroma Of Hops, Yutong Liu

Department of Food Science and Technology: Dissertations, Theses, and Student Research

In recent years, proprietary hops (Citra, Simcoe, and Mosaic) become the most sought-after hops among brewers due to their excellent aroma. However, they are restricted to the owners unless other growers purchase the costly licensing agreements. Many public hops are available to the growers without any additional costs, but their aroma is difficult to match to the proprietary hops. Although proprietary and public hop varieties are unique in their aroma profiles, all hops varieties contain similar volatile compounds, merely differ in the quantity of different individual compounds. The main objective of this thesis was to investigate the feasibility of matching …

Electric Vehicle Battery Charging Infrastructure, Javan Paul Luce Tanner

Industrial Technology Master's Projects

The progression away from internal combustion engines has been slowly gaining momentum over the last ten years. This project investigated the pathway forward regarding the charging of electric vehicles. As governments have begun enacting legislative initiatives in support of a greener and more sustainable future, we are now witnessing more rapid progress toward widespread adoption of fully electric and hybrid vehicles. This study focused directly on battery electric vehicles (BEVs). Some automotive manufacturers (each with their own timeframe) have committed to producing only these BEVs, and eliminating traditional combustion engine vehicles. This investigation was designed to examine the current state …

Investigation Of Added Mass Of Heeled 2-D Sections In A Seaway Using The Patch Method In Heave, Roll, And Sway Motions, Adam N. Bacon

LSU New Orleans Theses and Dissertations

This thesis analyzes the effects of the angle of heel and beam-to-draft ratio on the sectional added mass of primitive cross-sectional shapes in regular harmonic waves in the frequency domain using 2-D boundary element method for uncoupled heave, sway, and roll motion. This 2-D boundary element method uses the patch method developed by Söding (1993b) [4] to compute the added mass of asymmetric geometry. The angles of heel used varied from 0 to 90 degrees in 5-degree intervals, while the beam-to-draft ratios varied from B/T = 0.5 to B/T = 3.0 in half increments. Triangles, rectangles, and rectangles with rounded …

Comparisons Of Concrete Slender Wall Software With Full-Scale Experiments, Gloriana M.L. Moua

Architectural Engineering

The 1980 slender wall testing was performed by the Structural Engineers Association of Southern California (SEAOSC) in efforts to analyze behavior of concrete slender walls when lateral and eccentric axial loads are applied. The testing was done with 12 tilt-up wall panels, 3 of each of the four thicknesses: 9 ½”, 7 ¼”, 5 ¾”, and 4 ¾”. What was discovered from testing was that a fixed limitation of height to thickness ratio was not a governing factor and that each case should be analyzed based off the strength and deflection of the wall. It was because of this testing …