Engineering Commons^™

Globally Scalable Approach To Estimate Net Ecosystem Exchange Based On Remote Sensing, Meteorological Data, And Direct Measurements Of Eddy Covariance Sites, Ruslan Zhuravlev, Andrey Dara, André Luís Diniz Dos Santos, Oleg Demidov, George Burba

Daugherty Water for Food Global Institute: Faculty Publications

Despite a rapid development of Nature-Based Solutions (NBS) for carbon removal in recent years, the methods for evaluating NBS still have certain gaps. We propose an approach based on a combination of remote sensing data and meteorological variables to reconstruct the spatiotemporal variation of net ecosystem exchange from eddy-covariance stations. A Lagrangian particle dispersion model was used for upscaling satellite images and flux towers. We trained data-driven models based on kernel methods separately for each selected land-cover class. The results suggest that the proposed approach to quantifying carbon exchange on a medium-to-large scale by blending eddy covariance flux data with …

Role Of Social Determinants Of Health In Differential Respiratory Exposure And Health Outcomes Among Children, Jagadeesh Puvvula, Jill A. Poole, Yeongjin Gwon, Eleanor G. Rogan, Jesse E. Bell

Daugherty Water for Food Global Institute: Faculty Publications

Background Attributes defining the Social Determinants of Health (SDoH) are associated with disproportionate exposures to environmental hazards and differential health outcomes among communities. The dynamics between SDoH, disproportionate environmental exposures, and differential health outcomes are often specific to micro-geographic areas.

Methods This study focused on children less than 20 years of age who lived in Douglas County, Nebraska, during 2016–2019. To assess the role of SDoH in differential exposures, we evaluated the association between SDoH metrics and criteria pollutant concentrations and the association between SDoH and pediatric asthma exacerbations to quantify the role of SDoH in differential pediatric asthma outcomes. …

Production Of Lithium Carbonate From Geothermal Brine By Selective Extraction Of Lithium Using A Novel Ion Sieve Method, Ujjwal Pokharel, Sandeep Kumar

College of Engineering & Technology (Batten) Posters

The project implements a novel approach to extract lithium from a geothermal brine with minimal water loss. Production of high-capacity lithium-ion (Li-ion) batteries for electric vehicles (EV) is believed to be the way to reduce dependence on fossil-fuel based vehicles. Currently, most of the lithium in the world comes from the mining of lithium or the evaporative/concentration of the brine. Mining is not environmentally friendly, and the evaporative process takes 12 months for the completion of the extraction process and results in a large amount of water loss which can lead to scarcity of water. The brines constitute 82% of …

Marshall, Il Brownfield/Superfund Site Project, Nathan Myers

2022 Fall Reports (Marshall, IL)

This course will examine modern public policymaking in the United States. We will examine the different forms that policy can take and how each branch of government can leave a lasting impact on policy. The course will investigate the environment in which policy in the U.S. is shaped and the key official and unofficial actors involved. The course will investigate how public policy issues are defined and earn a place on the policy agenda. The remainder of the course will focus on various criteria for evaluating policy: effectiveness, efficiency, equity, liberty, security, and resilience. The manner in which policy often …

Marshall Residential Development, Kimberly Smith

2022 Fall Reports (Marshall, IL)

Introduction and development of the design process through the exploration of abstract and realistic problem-solving applications. Design solutions are presented through the development of two- and three-dimensional presentation techniques.

Marshall, Il Housing Affordability Project, Nathan Myers

2022 Fall Reports (Marshall, IL)

This class is designed to provide a basic working understanding of statistical methods which are commonly used in the social sciences, including public administration. Students will learn the mathematical logic behind the procedures by calculating statistical formulas. Students will also gain proficiency in completing statistical procedures using Microsoft Excel (the Statistical Package for the Social Sciences, or SPSS, may also be used).

Integration Of Public Policy Into Civil Engineering Undergraduate Curricula: Review Of Civil Engineering Body Of Knowledge And Course Application, Michelle R. Oswald Beiler

Faculty Conference Papers and Presentations

The field of civil and environmental engineering directly ties with serving the needs of the public through infrastructure development and improvements in sustainable environments. Integrating this reciprocal connection between public policy and civil engineering into undergraduate civil engineering education is critical for the preparation of the next generation of engineers. This project, first, reviews the guidance of public policy in civil engineering programs, such as ASCE’s Civil Engineering Body of Knowledge. Then, a pedagogical application is presented that focuses on the integration of public policy concepts, methods, assessment tools and techniques in a required, upper level course in civil and …

Motor Vehicle Drivers' Knowledge Of Safely Traversing Highway-Rail Grade Crossings, Aemal Khattak, M. Umer Farooq, Abdul Farhan

Mid-America Transportation Center: Final Reports and Technical Briefs

This study investigates motor vehicle drivers’ socioeconomic, personality, and attitudinal factors associated with their knowledge of safely traversing highway-rail grade crossings (HRGCs). A survey of randomly selected Nebraska households solicited responses from licensed drivers (N= 980, response rate = 39 percent). Of the total thirty-one questions on the questionnaire, nine pertained to respondents’ knowledge of safely navigating HRGCs (e.g., what does a crossbuck sign require a driver to do when approaching a rail crossing?). Correct answers to the questions provided a measure of respondents’ knowledge of safely traversing HRGCs and led to their classification in five ordered categories. A random …

A Heterogeneity-Based Temporal Stability Assessment Of Pedestrian Crash Injury Severity Using An Aggregated Crash And Hospital Data Set, M. Umer Farooq, Aemal Khattak

Mid-America Transportation Center: Final Reports and Technical Briefs

This study utilized a unique approach to crash data analysis by examining the temporal stability of pedestrian crash injury severity and its contributory factors. Police-reported crash data and EMS-related injury data from Nebraska were obtained from 2014 to 2018, and random parameter ordered probit models for injury severity were estimated for each year to account for unobserved heterogeneity. Four discrete levels of injury severity were considered for model estimation: fatality, disabling injury/suspected serious injury, visible injury/possible injury, and no injury. Data were filtered based on several important variables of interest, such as pedestrian characteristics, crash characteristics, environmental and weather characteristics, …

A Simulation Way To Investigate The Reason For Congestion In Urban——A Case Study In Hohhot China, Junqing Wang, Hong Yang, Yuan Zhu, Qingwen Pu, Shunlai Cui

College of Engineering & Technology (Batten) Posters

In the case of high density traffic flow, traditional traffic data statistical analysis methods, which not only have certain errors and lead to inaccurate data, but also have many limitations such as labor consumption, can no longer meet the demand for traffic analysis. Drones for traffic data, based on an aerial bird's-eye view, no offset, and error-free complete statistics of urban road shooting section of all data, while greatly reducing cost consumption. A multi-dimensional simulation model is established for the UAV data to the Hohhot central urban area's road simulation platform. This project will test and explore multidimensional data in …

Investigating The Impacts Of Connected Vehicles On Driving Aggressiveness And Situational Awareness In Highway Crash Scenarios: A Driving Simulator Study, Abdalziz Alruwaili

College of Engineering & Technology (Batten) Posters

Psychological factors such as aggressiveness and situational awareness can impact driving performance. Connected vehicles (CV), equipped with advanced sensors and able to communicate safety messages to drivers, have the potential to influence driving performance by altering drivers’ aggressiveness and situational awareness. This paper aims to investigate the impacts of the CVs on driving aggressiveness and situational awareness in highway crash scenarios where a primary crash has already occurred, and a second crash may occur as a result. To achieve this goal, a driving simulator experiment was conducted, and questionnaires focused on driving aggressiveness and CV effectiveness were distributed. Structural equation …

Virtual Industry Visits, Cian Farrell

Articles

Cian Farrell of Technological University Dublin describes a virtual educational approach trialled during the Covid-19 pandemic to engage students during a period of remote learning and educate them on industry processes and practices. Virtual industry visits saw students receive online briefings and tours of manufacturing plants and construction sites from industry representatives to complement their taught modules. The virtual visits have continued since Covid restrictions eased as part of a hybrid approach to learning that increases student exposure to real-life projects. The initiative won the Institution of Structural Engineers Excellence in Structural Engineering Education Award in 2022.

The Impact Of Precipitation As An Adverse Weather Condition On Transportation Construction In South Dakota, Akosua Ofosua Okyere-Addo

Civil and Environmental Engineering Graduate Students Plan B Capstone Projects

This research assessed the impact of precipitation as an adverse weather condition on the transportation construction in South Dakota. A statistical survey of the data from the National Oceanic and Atmospheric Administration was conducted on 554 original stations, which was reduced to 433 stations of them were in South Dakota, then reduced to 170 stations with 30-year data coverage higher than 70 %. Eventually, the data were reduced further for pilot study purposes to a final 10 stations used for analysis in this study. The objective of this study is to examine potential precipitation thresholds towards determination of related adverse …

Survey Data: Optimising Retrofitted Insulation For Irish Residential Building Walls, Rakshit D. Muddu, Aimee Byrne, Anthony Robinson Dr.

Datasets

A survey was conducted to determine the preferred set point temperature and heating pattern among Irish households. The survey was sent to 237 people living across Ireland, out of which 32 respondents skipped the survey and 9 surveys were found to be incomplete. Amongst the counties in Ireland 71.1% respondents were from Dublin, 6.34% from Kildare, 5% from Meath, 5% from Wicklow and in all the remaining counties response rate was below 2%. Part 1: This section of the survey recorded information regarding characteristics of the building such as house type, wall type, insulation type, period the house was built. …

Evaluating The Adhesion Response Of Acrylonitrile-Butadiene-Styrene (Abs)/Thermoplastic Polyurethane (Tpu) Fused Interface Using Multiscale Simulation And Experiments, Jonathan T. Villada, Gideon A. Lyngdoh, Rakesh Paswan, Bolaji Oladipo, Sumanta Das

Faculty Publications - Biomedical, Mechanical, and Civil Engineering

This paper implements reactive forcefield molecular dynamics (MD) simulation to evaluate the mechan- ical performance of the fusion bond line formed between acrylonitrile butadiene styrene (ABS), and ther- moplastic polyurethane (TPU). The simulated interfacial adhesion responses, as obtained from MD simulation, are further implemented as the interfacial properties between ABS and TPU in an upscaled cohesive zone-based finite element analysis (FEA) model for macroscopic response evaluation. Such upscaling enables fair comparison of the simulated macroscopic stress–strain response with experimen- tal results obtained for 3D printed ABS/TPU hybrid samples with a fusion-bonded interface. Overall, the stress–strain response predicted from a FEA-based …

How Can Visual Programing Be Used To Aid The Development Of A Structural Scheme Design Process Utilising Geometric Data Within An Architectural Revit Model?, Ed Carthy, Kieran Lakhera O'Shea

Reports

The early-stage structural scheme design of a building is a complex task requiring the collection of multiple information categories such as geometry, loading and materials. The collection and review of this information is traditionally conducted in a 2D environment. This is inefficient, time-consuming, and tedious. This paper provides a review of how structural engineers’ understanding and implementation of BIM has evolved significantly in recent years, validated by extant literature in areas such as BIM automation, visual programming, and structural optimisation in the structural engineering sector. Structural engineers are growing more aware that BIM provides a vast repository of data to …

Internal Structure And Breakage Behavior Of Biogenic Carbonate Sand Grains, Elieh Mohtashami, C. Guney Olgun, Chenglin Wu, Tara Selly

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

This Study Investigates the Mechanical Behavior of Biogenic Carbonate Sands from Puerto Rico at Grain-Scale Level. Micro-Computed Tomography Has Also Been Used to Get Insights on the Internal Structure of These Particles Before and after Loading. the Crushing Strength of These Particles Are Smaller Comparing to the Values Reported for Silica Sands. It Has Also Been Shown that These Particles Have Complex Internal Structure Including a Network of Pores Connected with Channels. This Study Also Demonstrates the Effect of Intragrain Structure of Biogenic Carbonate Sands and Shows How Internal Grain Structure Plays a Role on Particle Fracture.

A Deep Learning-Informed Design Scheme For Shear Friction At Concrete-To-Concrete Interface: Recommendations For Inclusion In Aashto Lrfd Guidelines, Tarutal Ghosh Mondal, Nikkolas Edgmond, Lesley Sneed, Genda Chen

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Recent advancements in construction technology have led to high-strength concrete and steel. However, these developments have depreciated the accuracy of the design equations in current provisions, which were based on normal-grade materials. To fill such a research gap, this study presents a novel deep learning-based computation scheme that can replace the current design provisions by virtue of its superior accuracy and reliability. The proposed approach exploits Neural Additive Models (NAMs) in which geometric and material properties associated with a normal weight concrete-to-concrete shear interface are inputted to individual neural network blocks. The outputs of the individual blocks are linearly combined …

Plural Communities: A Cultural Mapping Project + A Framework Plan For Cherokee Village, Arkansas, Community Design Center

Community Design Center Project Reports

What do urban designers do with culture? How might we redevelop a mid-century modern planned community through the mapping of cultural influences that shaped it? We explored memory and heritage central to cultural mapping and its participatory-based forms of public inquiry. 54 drawings integrate maps, folklore materials, archived media, photographs, and new drawings into five synchronic cultural frameworks that shaped Cherokee Village—Native American heritage, Ozark pioneer and folk heritage, camping and scouting, midcentury planned communities, and regional modernism in design and planning.

Cherokee Village was developed within a mid-twentieth century planning ethos that valued uniformity …

Teaching Applied Management Courses Online: Considerations For Good Practices, Albena Yordanova, Elizabeth Tofte, Byron G. Garry

ASEE North Midwest Section Annual Conference 2023 Publications

Background: As a result of the COVID-19 pandemic in 2020, many Engineering, Engineering Technology, and Applied Management courses had to be quickly converted from face-to-face to online. Faculty used what experience they possessed to change their teaching procedures and style, in order that students would continue to learn the important facts, theories, and processes necessary to launch their professional careers.
Purpose: The demand for online courses decreased as the pandemic subsided, but there continues to be a growing need for flexibility in teaching, in order to best serve students in their educational pursuits.
Findings: Good online course practices include focusing …

Engaging Industry Mentors In A Construction Management Capstone Program, Janet E. Merriman

ASEE North Midwest Section Annual Conference 2023 Publications

Background: Engineering capstone courses utilize industry to present the problem and work with student teams in creating a solution, resulting in direct exposure of engineering students to industry members that benefits the student, the industry, and the program. The purpose of this paper is to introduce an approach used to incorporate direct industry involvement in a construction management capstone course to effect similar outcomes.
Method: To create a similar capstone environment to engineering courses, in which industry works directly with student teams, South Dakota State University’s construction management program implemented a capstone industry mentor program. During the capstone course industry …

Inspire Newsletter Spring 2023, Missouri University Of Science And Technology. Inspire - University Transportation Center

INSPIRE Newsletters

No abstract provided.

Inspire Newsletter Fall 2023, Missouri University Of Science And Technology. Inspire - University Transportation Center

INSPIRE Newsletters

No abstract provided.

Editorial: Nanoscale Insight Into The Hydration Products Of Cementitious Materials: From Theory To Engineering, Huiwen Sun, Muhan Wang, Hongyan Ma, Xiao Wang, Bo Pang

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

No abstract provided.

Rainwater Catchment System In Public Sector Housing, Araceli Peña, Muhammad Yanzar Sarin

2023 REYES Proceedings

Water is a universal right for all living beings on the planet, but today it has become a commercial good. It costs significantly to extract water from increasingly distant storage sources. For these reasons and many more the fight for water has become increasingly intense. Precisely, an alternative to avoid more dam construction is the implementation of public politic with actions focused on the integral solution of water, that is to say, that it be distributed fairly and equitably to all users, avoiding more concessions to great industries like as soft drinks and breweries, which are the main consumers and …

Thermoelectric Properties Of Cement Composite Analogues From First Principles Calculations, Esther Orisakwe, Conrad S.N. Johnston, Ruchita Jani, Xiaolo Liu, Lorenzo Stella, Jorge Kohanoff's, Niall Holmes Dr., Brian Norton, Ming Qu, Hongxi Yin, Kazuaki Yazawa

Articles

Buildings are responsible for a considerable fraction of the energy wasted globally every year, and as a result, excess carbon emissions. While heat is lost directly in colder months and climates, resulting in increased heating loads, in hot climates cooling and ventilation is required. One avenue towards improving the energy efficiency of buildings is to integrate thermoelectric devices and materials within the fabric of the building to exploit the temperature gradient between the inside and outside to do useful work. Cement-based materials are ubiquitous in modern buildings and present an interesting opportunity to be functionalized. We present a systematic investigation …

Investigating Michigan’S Skilled Construction Laborer Shortage Within The Great Lakes Region, Jennifer E. Russell

Master's Theses and Doctoral Dissertations

The construction industry has been facing a decline in skilled trade labor for decades. This study asks three overarching questions: (a) What are the causes and influencing factors of Michigan’s skilled construction laborer shortage? (b) How are Michigan stakeholders in the Great Lakes Region remedying the shortage? (c) What new solutions can be implemented to remedy Michigan’s skilled construction laborer shortage? A literature review was conducted to identify causes, influencing factors, and research gaps. Closed surveys questioning 69 construction project managers and 101 skilled trade laborers in Michigan were conducted online and on construction sites. A quantitative analysis of the …

Editorial: Ultra-High Performance Concrete: Computation And Simulation Methods, Xinpeng Wang, Yitong Ma, Dongshuai Hou, Hongyan Ma, Yue Zhang

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

No abstract provided.

Occurrence, Fate, And Transport Of Microplastics From Wastewater Treatment Plants To Receiving Waters, Rayyan Mirza

Wayne State University Dissertations

Environmental pollution due to the widespread presence of microplastics (MPs) is an emerging global problem. Wastewater treatment plants (WWTPs) are considered a significant point source for MPs. The first aim of this study was to develop extraction and detection methods of MPs from complex wastewater and sludge samples in the Detroit WWTP to understand the occurrence and fate of MPs in WWTPs. The second aim was to understand the spatial and temporal distribution of MPs originating from the Detroit WWTP discharge point into the Detroit River by utilizing the Mike 21 Flow Model FM to simulate the movement of MPs …

Optimal Spatial Design Of Groundwater Level Monitoring Networks Using Machine Learning Methods, Sadaf Teimoori

Wayne State University Dissertations

Groundwater plays a crucial role in sustaining ecosystems, providing drinking water, and supporting various industrial activities. As water scarcity becomes an increasingly pressing global issue, accurate groundwater level monitoring is essential for effective resource management and environmental protection. The study introduces a comprehensive methodology that integrates groundwater flow modeling, stochastic simulations, and ML algorithms to design efficient Groundwater Level Monitoring Networks (GLMNs) in regions with limited groundwater observation data. Two primary ML algorithms, K-means clustering and Relevance Vector Machine (RVM), are used to select and position observation wells strategically. The research addresses the challenge of minimizing data uncertainties and determining …