Civil and Environmental Engineering Commons^™

Behavior Of Circular Ice-Filled Self-Luminous Frp Tubular Stub Columns Under Axial Compression, Yanlei Wang, Guipeng Chen, Baolin Wan, Gaochuang Cai, Yiwen Zhang

Civil and Environmental Engineering Faculty Research and Publications

This paper proposes an innovative ice-filled self-luminous fiber-reinforced polymer (FRP) tubular (IFSFT) column for temporary structures in cold regions. The proposed column possesses a good combination of the advantages of FRP tube and natural ice, as well as provides itself with aesthetic features or other service functions due to the self-luminous feature of the outer FRP tube in darkness. This paper presents an experimental study on tensile and luminance properties of FRP laminates modified with self-luminous powders, and axial compressive behavior of circular IFSFT stub columns and ice-filled FRP tubular (IFFT) stub columns. Experimental results indicate that the addition of …

Residential Thermal Storage And Cooling, Joao Marcelo Rocha Belmonte, Jacob Anderson, Andrew Clarke, Daphne Forester, Bianca Hardtke, Josh Hartman, Marc D. Compere

Sustainability Conference

No abstract provided.

Solar Powered Parking Lot Lights, Jordyn Taylor

Sustainability Conference

Solar energy is a renewable resource growing exponentially around the country over the past few decades. Solar energy works through the use of photo-voltaic cells, which work to convert energy from sunlight into electricity. This is done within solar panels, which are then connected to batteries for energy storage to use as needed. As production has increased over past decades, the cost for solar panel hardware and installment has thus fallen to meet consumer need. While most common implementations include solar panels attached to one’s home or solar panel ‘fields’ for charging entire towns, there has been a steady rise …

Automatic Shoreline Digitization And Mesh Element Sizing For Hydrodynamic Modeling, Henok Kefelegn

LSU Doctoral Dissertations

The first and most critical step in any coastal hydrodynamics and transport process modeling is identifying land-water boundaries. In a coastal wetland, this has always been a challenge due to the complexity of the wetland and lack of efficient methods, calling for efficient and effective methods to extract and digitize the shorelines. While coastline feature extraction has been increasingly researched, its application in hydrodynamic and environmental modeling, without morphological adjustment, remains limited and suboptimal. Further, there has been a paucity of cost-effective, contextually adaptive and high-quality methods to generate meshes, especially for coastal hydrodynamic modeling. This study has developed and …

Robust Maximum Flow Network Interdiction Problem, Darshan Rajesh Chauhan

Dissertations and Theses

In this thesis, a maximum flow-based network interdiction problem considering uncertainties in arc capacities and interdiction resource consumption is solved. The problem consists of two entities with opposing objectives: the goal of the adversary is to maximize the flow of illicit drugs through the network, while the goal of the interdictor is to minimize the maximum flow by completely interdicting arcs given a specified amount of resources. Lack of complete information about the usage patterns of the transportation network by the adversary results in an uncertain estimate of arc capacity and resources required for interdiction by the interdictor. To account …

Optfill: A Tool For Infeasible Cycle-Free Gapfilling Of Stoichiometric Metabolic Models, Wheaton L. Schroeder, Rajib Saha

Mid-America Transportation Center: Final Reports and Technical Briefs

Stoichiometric metabolic modeling, particularly genome-scale models (GSMs), is now an indispens- able tool for systems biology. The model reconstruction process typically involves collecting informa- tion from public databases; however, incomplete systems knowledge leaves gaps in any reconstruc- tion. Current tools for addressing gaps use databases of biochemical functionalities to address gaps on a per-metabolite basis and can provide multiple solutions but cannot avoid thermodynami- cally infeasible cycles (TICs), invariably requiring lengthy manual curation. To address these limita- tions, this work introduces an optimization-based multi-step method named OptFill, which performs TIC-avoiding whole-model gapfilling. We applied OptFill to three fictional prokaryotic models …

Why Are Residential Property Developers In Ireland Not Using Bim?, Bim Tudublin, Simon Burke

Capstone Reports

The aim of this paper is to establish the level of BIM adoption by larger-scale residential property developers in Ireland and investigate the benefits and challenges of implementing BIM for residential housing. While BIM is a relatively new concept in Ireland for housing, developers and investors in larger scale developments are beginning to recognize areas where BIM can add value to their projects. The research also indicates that while there is evidence of successful BIM implementation for housing resulting in savings in cost and time, widespread adoption is hindered by a lack of knowledge and skills, costs of implementation, lack …

Bench-Scale Investigation Of Remote Detection Of Clay Pockets In Granular Soils, Nick W. Hudyma, Brian Kopp, Joshua Oglesby, Sukris Vong

Civil Engineering Faculty Publications and Presentations

The detection of deleterious materials in compacted soil fills is an important part of earthwork construction. These materials are often identified a priori using laboratory techniques such as the visual assessment of sieve analyses. However, it is possible that deleterious materials, such as clay pockets, can be larger than particles characterized in laboratory tests. Bench scale imaging using simulated unmanned aerial vehicle flights were conducted to determine if clay pockets, 15.24 cm by 15.24 cm by 5 cm thick, could be detected in granular soils. The imaging techniques employed were digital imaging, thermal imaging, and electromagnetic imaging. All imaging techniques …

Calibrating The Highway Capacity Manual Arterial Travel Time Reliability Model, Ernest Tufuor, Laurence Rilett, Li Zhao

Mid-America Transportation Center: Final Reports and Technical Briefs

The latest edition of the Highway Capacity Manual (HCM-6) includes, for the first time, a methodology for estimating and predicting the average travel time distribution (TTD) of urban streets. Travel time reliability (TTR) metrics can then be estimated from the TTD. The HCM-6 explicitly considers five key sources of travel time variability. A literature search showed no evidence that the HCM-6 TTR model has ever been calibrated with empirical travel time data. More importantly, previous research showed that the HCM-6 underestimated the empirical TTD variability by 70% on a testbed in Lincoln, Nebraska. In other words, the HCM-6 TTR metrics …

Analysis Of Component Errors In The Highway Capacity Manual Travel Time Reliability Estimations For Urban Streets, Ernest Tufuor, Laurence Rilett

Mid-America Transportation Center: Final Reports and Technical Briefs

The Highway Capacity Manual 6th edition (HCM6) includes a new methodology to estimate and predict the distribution of average travel times (TTD) for urban streets. The TTD can then be used to estimate travel time reliability (TTR) metrics. Previous research on a 0.5-mi testbed showed statistically significant differences between the HCM6 estimated TTD and the corresponding empirical TTD. The difference in average travel time was 4 s that, while statistically significant, is not important from a practical perspective. More importantly, the TTD variance was underestimated by 70%. In other words, the HCM6 results reflected a more reliable testbed than field …

Application Of Bio-Stimulated Calcite Precipitation To Stabilize Expansive Soils: Field Trials, Bhaskar C. S. Chittoori, Anish Pathak, Malcolm Burbank, Md Touhidul Islam

Civil Engineering Faculty Publications and Presentations

This paper presents the results of a field implementation of microbial induced calcite precipitation to stabilize expansive soils in Marsing, Idaho. The field test was done by drilling 2.5” (6.35 cm) diameter holes at a spacing of 16” to 30” (40.6 cm to 76.2 cm) into the ground and, injecting bio-enrichment followed by bio-cementation solutions to stimulate the native bacteria and subsequently achieve calcite precipitation. The pH level of the soil, the calcite content, and free swelling potential were monitored over time by collecting periodic soil samples from the injection points. An increase in pH from 8.3 to 9.7 was …

Advancement Of Predictive Modeling Of Zeta Potentials (Ζ) In Metal Oxide Nanoparticles With Correlation Intensity Index (Cii), Andrey A. Toropov, Natalia Sizochenko, Alla P. Toropova, Danuta Leszczynska, Jerzy Leszczynski

Articles

It was expected that index of the ideality of correlation (IIC) and correlation intensity index (CII) could be used as possible tools to improve the predictive power of the quantitative model for zeta potential of nanoparticles. In this paper, we test how the statistical quality of quantitative structure-activity models for zeta potentials (ζ, a common measurement that reflects surface charge and stability of nanomaterial) could be improved with the use of these two indexes. Our hypothesis was tested using the benchmark data set that consists of 87 measurements of zeta potentials in water. We used quasi-SMILES molecular representation to take …

Steel Model Approval: Can Bim Provide A Drawing-Free Approval Process?, Bim Tudublin, David Reynolds

Capstone Reports

Despite widespread use of Building Information Modelling (BIM) software used within their industry, the approval of steelwork contractor’s design information is largely based on the approval of 2d-drawings. These workflows can be modernised to take advantage of current technology and provide productivity gains, but barriers to change exist. This research is an attempt to answer the research question of if a model-based approval process, which removes the need for drawings, is achievable. To answer this question, a mixed methodology was used. A literature review was performed to understand how the approval process works, what information is required and what BIM …

A Comparative Study Of Cadworx Plant 2018 And Revit 2020 With Ez-Iso Add-In, For The Production Of Piping Isometrics, Bim Tudublin, Killian Lynch

Capstone Reports

BIM software evaluation and selection is a complex process. In this paper, a comparative study of Revit 2020 with Ez-ISO add-in, and CADWorx Plant 2018, was carried out. The aim of this study was to determine if a MEP contractor could consolidate software usage into one package, thereby reducing costs for pipework modelling and isometric production. A comprehensive evaluation was developed based on a literature review. A multicriteria decision-making method was used in conjunction with the software evaluation to ensure sound choices were made. An online survey of senior BIM professionals was conducted to validate the analysis and findings. The …

A Critical Appraisal Of Findings And Solutions To Overcome Erroneous Bim Model Production And Information Delivery Workflows, Bim Tudublin, Ryan Forde

Capstone Reports

There are many varying definitions of Building Information Modelling, all of which reflect its transformative capabilities and impact on the construction sector. BIM is an emerging technological and procedural shift within the AEC industry (Succar, 2009). BIM is not just a technological change, but also a procedural and workflow change (Charles Eastman, 2018). Despite the growth of BIM adoption and increasing levels of maturity regarding BIM standards, numerous issues still arise at a micro level during project execution. BIM invokes the need for workflows, frameworks and processes that imparts knowledge, heightens trust, increases efficiency and consistency while reducing fragmentation and …

A Critical Examination Of The Use Of Business Intelligence (Bi) In The Optioneering Of Generative Design Models: A Case Study., Bim Tudublin, Davitt Lamon

Capstone Reports

This research outlines the development of a generative des ign workflow for the architectural space planning of a 1,200 sq.m office located in Dublin, Ireland, and the application of statistical analysis and data visualisation for the optioneering of gen erated models. First, the paper defines a computational desig n model with the potential to generate a variety of office layouts, including circulation routes and desk locations. It then identifies three unique performance metrics that evaluate each design option. Finally, the study applies a multi objective genetic algorithm (MOGA) to explore the high dimensional design space of all potential options and …

Análisis Por Confiabilidad Del Modelo De Diseño Aashto 93 Para Pavimentos Flexibles En El Valle De Aburrá, Mario Santiago Hernández, Juan Pablo Osorio, Juan Camilo Viviescas

Books/Book Chapters

La necesidad de construir pavimentos con mejores especificaciones técnicas y mayores períodos de servicio requiere de una modelación rigurosa de la variabilidad en las propiedades geotécnicas con el fin de garantizar la confiabilidad de estas estructuras. Por lo tanto, se realizó un análisis basado en la confiabilidad del método Aashto-93, considerando la variabilidad geotécnica del suelo, asociada al módulo resiliente de la subrasante. Los diseños por confiabilidad fueron efectuados de acuerdo con las categorías, parámetros y estructuras establecidas por el Manual de diseño de pavimentos asfálticos en vías con medios y altos volúmenes de tránsito, de 1998, del Instituto Nacional …

Example Take-Home Final Exam Questions From Cee 433: Water Technology & Policy At The University Of Illinois At Urbana-Champaign, Ashlynn Stillwell

All ECSTATIC Materials

The following example questions were part of take-home final exams spanning 2014-2020 in CEE 433: Water Technology & Policy, taught by Dr. Ashlynn S. Stillwell at the University of Illinois at Urbana-Champaign. These questions were part of the take-home final exam, with additional questions not reported here.

Lake Volume Data Analyses: A Deep Look Into The Shrinking And Expansion Patterns Of Lakes Azuei And Enriquillo, Hispaniola, Mahrokh Moknatian, Michael Piasecki

Publications and Research

This paper presents the development of an evenly spaced volume time series for Lakes Azuei and Enriquillo both located on the Caribbean island of Hispaniola. The time series is derived from an unevenly spaced Landsat imagery data set which is then exposed to several imputation methods to construct the gap filled uniformly‐spaced time series so it can be subjected to statistical analyses methods. The volume time series features both gradual and sudden changes the latter of which is attributed to North Atlantic cyclone activity. Relevant cyclone activity is defined as an event passing within 80 km and having regional monthly …

Durability Performance Of Geopolymer Concrete Beams And Columns Exposed To Hygrothermal Environment, Najeb Hasen Sh Sawsi

Wayne State University Dissertations

Among the most important advances of research and technological development for viable applications of coal-fired fly ash, the development of new inorganic polymeric materials, named alkali activated cement or “Geopolymers”, seems to gain increasing attention during the last twenty years. The present investigation intends to study the effect of hot weather environments (either by changing relative humidity and temperature is kept constant, or by changing temperature but relative humidity is maintained same) on the durability performance of geopolymer concrete beams and columns. The study include the long term influence of moisture, high temperature, and combined hygrothermal conditions on the mechanical …

An Integrated Computational And Experimental Study To Investigate Staphylococcus Aureus Metabolism, Mohammad Mazharul Islam, Vinai C. Thomas, Matthew Van Beek, Jong-Sam Ahn, Abdulelah A. Alqarzaee, Chunyi Zhou, Paul D. Fey, Kenneth W. Bayles, Rajib Saha

Mid-America Transportation Center: Final Reports and Technical Briefs

Staphylococcus aureus is a metabolically versatile pathogen that colonizes nearly all organs of the human body. A detailed and comprehensive knowledge of staphylococcal metabolism is essential to understand its pathogenesis. To this end, we have reconstructed and experimentally validated an updated and enhanced genome-scale metabolic model of S. aureus USA300_FPR3757. The model combined genome annotation data, reaction stoichiometry, and regulation information from biochemical databases and previous strain-specific models. Reactions in the model were checked and fixed to ensure chemical balance and thermodynamic consistency. To further refine the model, growth assessment of 1920 nonessential mutants from the Nebraska Transposon Mutant Library …

Climatic And Topologic Controls On The Complexity Of River Networks, Sevil Ranjbar Moshfeghi

Electronic Theses and Dissertations, 2020-2023

The emergence and evolution of channel networks are controlled by the competition between the hillslopes and fluvial processes on the landscape. Investigating the geomorphic and topologic properties of these networks is important for developing predictive models describing the network dynamics under changing environment as well as for quantifying the roles of processes in creating distinct patterns of channel networks. In this dissertation, the response of landscapes to changing climatic forcing via numerical-modeling and field observations was investigated. A new framework was proposed to evaluate the complexity of catchments using two different representations of channel networks. The structural complexity was studied …

Safety Evaluation Of Innovative Intersection Designs: Diverging Diamond Interchanges And Displaced Left-Turn Intersections, Ahmed Abdelrahman

Electronic Theses and Dissertations, 2020-2023

Diverging diamond interchanges (DDIs) and Displaced left-turn intersections (DLTs) are designed to enhance the operational performance of conventional intersections that are congested due to heavy left-turn traffic volumes. Since drivers are not familiar with these types of intersections, there is a need to evaluate their safety performance to validate their effect, and to estimate reliable and representative Crash Modification Factors (CMFs). The safety evaluation was conducted based on three common safety assessment methods, which are before-and-after study with comparison group, Empirical Bayes before-and-after method, and cross-sectional analysis. Furthermore, since DLTs showed poor safety performance, the study also investigated the operational …

Smartphone Sensor-Based Pedestrian Activity Recognition For P2v Communication And Warning System, Dhrubo Hasan Chowdhury

Electronic Theses and Dissertations, 2020-2023

The ubiquity of smartphones has made a remarkable influence on everyone's day to day life. Variety of useful built-in sensors provide smartphones with a convenient floor for data collection and analysis. Application development based on the user's location and movement is not a difficult task nowadays. But injuries and deaths due to smartphone-distracted movement on roadways is on the increase. This study explores the capabilities of smartphone inertial sensors for pedestrian activity recognition. Smartphone distracted movements can be predicted from the associated pedestrian's posture, thus inertial sensors can provide effective solution for this specific task. Volunteers were asked to perform …

Traffic Speed Prediction And Mobility Behavior Analysis Using On-Demand Ride-Hailing Service Data, Jiechao Zhang

Electronic Theses and Dissertations, 2020-2023

Providing accurate traffic speed prediction is essential for the success of Intelligent Transportation Systems (ITS) deployments. Accurate traffic speed prediction allows traffic managers take proper countermeasures when emergent changes happen in the transportation network. In this thesis, we present a computationally less expensive machine learning approach XGBoost to predict the future travel speed of a selected sub-network in Beijing's transportation network. We perform different experiments for predicting speed in the network from future 1 min to 20 min. We compare the XGBoost approach against other well-known machine learning and statistical models such as linear regression and decision tree, gradient boosting …

Prediction Of Pedestrians' Red Light Violations Using Deep Learning, Shile Zhang

Electronic Theses and Dissertations, 2020-2023

Pedestrians are regarded as Vulnerable Road Users (VRUs). Each year, thousands of pedestrians' deaths are caused by traffic crashes, which take up 16% of the total road fatalities and injuries in the U.S. (FHWA, 2018). Crashes can happen if there are interactions between VRUs and motorized transportation. And pedestrians' unexpected crossings, such as red-light violations at the signalized intersections, would expose them to motorized transportation and cause potential collisions. This thesis is intended to predict the pedestrians' red-light violation behaviors at the signalized crosswalks based on an LSTM (Long Short-term Memory) neural network. With video data collected from real traffic …

The Impacts Of Wave Energy Conversion On Coastal Morphodynamics In A Changing Climate, Cigdem Ozkan

Electronic Theses and Dissertations, 2020-2023

Fossil fuels, i.e., petroleum, natural gas, and coal, are the primary sources of global energy. Studies on the impacts of fossil fuels on climate change have shown the immediate need to reduce greenhouse gas emissions and adopt sustainable alternatives since these emissions result in warmer atmospheric temperatures, ocean acidification, glacier melting, sea level rise, and many other ramifications. In recent years, these alarming results have prompted governments worldwide to develop adaptation strategies for climate change, leading to increased investments in renewable energy resources. Globally, solar energy, wind energy, and hydropower have been the leading sources of renewable energy. Ocean wave …

The Viability Of Organic Dyes In Luminescent Down-Shifting Layers For The Enhancement Of Si Solar Cell Efficiency, Aaron Glenn, Conor Mcloughlin, Hind Ahmed, Hoda Akbari, Subhash Chandra, Sarah Mccormack

Articles

The main energy losses in solar cells are related to spectral losses where high energy photons are not used efficiently, and energy is lost via thermalization which reduces the solar cell’s overall efficiency. A way to tackle this is to introduce a luminescent down-shifting layer (LDS) to convert these high energy photons into a lower energy bracket helping the solar cell to absorb them and thus generating a greater power output. In this paper, lumogen dye Violet 570 has been used as LDS coated films of 10μm and 60μm placed on top of Si solar cells. The dye was incorporated …

Holistic Resilience Quantification Framework Of Rural Communities, Amanda Melendez

Theses and Dissertations--Civil Engineering

Communities need to prepare for anticipated hazards, adapt to varying conditions, and resist and recover rapidly from disturbances. Protecting the built environment from natural and man-made hazards and understanding the impact of these hazards helps allocate resources efficiently. Recently, an indicator-based and time-dependent approach was developed for defining and measuring the functionality and disaster resilience continuously at the community level. This computational method uses seven dimensions that find qualitative characteristics and transforms them into quantitative measures. The proposed framework is used to study the resilience of rural communities’ subject to severe flooding events. Harlan County in the Appalachian region is …

Effect Of Socioeconomic And Demographic Factors Of Driver Residence On Crash Occurrence, Shraddha Sagar

Theses and Dissertations--Civil Engineering

In the U.S., road traffic crashes are a leading cause of death. Crash data from the state of Kentucky shows that the per capita crash rates and crash-related fatalities were higher than the national average for over a decade. In effort to explain why the U.S. Southeast experiences higher crash rates than other regions of the country, previous research has argued the region’s unique socioeconomic provide a compelling explanation. Taking this observation as a starting point, this study examines the relationship between highway safety and socioeconomic characteristics using an extensive crash dataset from Kentucky.

The primary goal of this research …