Civil and Environmental Engineering Commons^™

Unhsc Watershed Protection Standard Calculator, Daniel Macadam

UNH Stormwater Center

No abstract provided.

Sustainability Tool Inventory, Robert Moore, James O'Donnell

Tools

The purpose of this inventory is to inform Irish organisations, including the private sector, public agencies and semi-states, about Sustainability Tool

Dataset For Equity And Justice In Water Pricing And The Effects On Water Distribution System, Brian Barkdoll

Michigan Tech Research Data

“Equity and Justice in Water Pricing and the Effects on Water Distribution System Management” Equity and justice regarding access to potable drinking water are paramount. Municipal Water Distribution Systems supply potable water to users and are essential to public health. They comprise a complicated set of source(s), pump(s), tank(s), and pipes. The price of water to users can affect the amount of usage. To find the optimal price of water to maximize utility revenue and allow changes to the system components for capital and maintenance expenditures, network modeling using the network solver fixed was performed for 15 real MDWSs.  A …

Unhsc Performance Curve Calculator, Daniel Macadam

UNH Stormwater Center

No abstract provided.

Collapse Of Pre-Covid-19 Differences In Performance In Online Vs. In-Person College Science Classes, And Continued Decline In Student Learning, Gregg R. Davidson, Hong Xiao, Kristin Davidson

Faculty and Student Publications

Abstract: Studies comparing student outcomes for online vs. in-person classes have reported mixed results, though with a majority finding that lower-performing students, on average, fare worse in online classes, attributed to the lack of built-in structure provided by in-person instruction. The online/in-person outcome disparity was normative for non-major geology classes at the University of Mississippi prior to COVID-19, but the difference disappeared in the years after 2020. Previously distinct trendlines of GPA-based predictions of earned-grade for online and in-person classes merged. Of particular concern, outcomes for in-person classes declined to match pre-COVID-19 online expectations, with lower-GPA students disproportionally impacted. Objective …

Unhsc Performance Curve And O&M Tracking Calculator, Daniel Macadam

UNH Stormwater Center

No abstract provided.

Education And Training Networks, Ken Thomas, Robin Stubbs, Emily Shakespeare

Tools

Education And Training Networks Inventory is a review of relevant network in Ireland and the EU.

Design Of 3d Printable Eco-Concrete By Utilizing Rheology Modifiers For Sustainable Infrastructure, Maryam Hojati, Muhammad Saeed Zafar

Data

In recent years, 3D printing technology has gained significant momentum across various industries within the construction sector, 3D printing has emerged as a promising technique; however, there are challenges associated with designing suitable construction materials and adjusting their properties for the 3D printing process. One of the key considerations in this regard is the rheological properties, encompassing parameters such as viscosity, yield stress, and thixotropy. These properties play a pivotal role in shaping the characteristics of 3D-printed concrete, both in its fresh and hardened states, including buildability, extrudability, and mechanical performance. Researchers have traditionally relied on chemical admixtures, such as …

Environmental Friendly Applications Of Ground Tire Rubber (Gtr) In Producing Concrete, Zahid Hossain, Ashraf Elsayed, Abu Sayed Mohammad Akid

Data

Millions of waste automobile tires are generated yearly, an ever-growing issue for solid waste management authorities in Arkansas. Using waste tires as fuel generates toxic gases or dumping them in landfills is not sustainable. Hence, it is crucial to minimize the issues of managing and disposing of waste tires and incorporate them into concrete as construction material. This study aimed to investigate the fresh, mechanical, and durability properties of concrete incorporating waste ground tire rubber (GTR) as a replacement for sand and micronized rubber powder (MRP) as a replacement for cement. A total of eight concrete mixtures were prepared using …

Prediction Of Moisture Resistance Of Polymeric Asphalt Binders Through The Atomic Force Microscopy (Afm) Technique, Zahid Hossain, Ashraf Elsayed, Khaja Sameer Sadat

Data

Moisture damage is a significant concern for state Departments of Transportation (DOTs) and other agencies due to its adverse impact on pavement performance as well as longevity. The main focus of the current study project is to quantify, at the molecular level, the interaction between binder and aggregate at the interface level in the form of adhesion forces between bitumen samples and minerals of various chemical compositions. First of all, A thorough review of the literature on moisture degradation in asphalts was conducted. Based on the literature review, a comprehensive project plan and test matrix were created. Binder samples from …

Reinforcing Network Resilience To Support Equitable Disaster Evacuation, Kate Kyung Hyun, Stephen Mattingly, Mehrdad Arabi, Md Ashraful Imran

Data

The research report presents an extensive analysis of hurricane evacuation strategies, highlighting the critical role of transportation networks in emergency situations. It examines how variables such as hurricane severity and the geographic positioning of residential areas impact evacuation patterns, using real-time GPS data and the Rayleigh distribution to accurately model evacuation timing. The study is focused on assessing the transportation network's capacity to handle the surge in evacuation traffic, identifying the most critical links within the network that are vital for effective evacuation. Additionally, the report offers an in-depth look at the socio-economic implications of these evacuation strategies, particularly underscoring …

A New Generation Of Multi-Functional Asphalt Mixtures With Superhydrophobic And Luminescent Properties, Mostafa Elseifi, Md. T. A. Sarkar

Data

Every year, the United States invests billions of dollars in maintaining its roads and enhancing road safety, especially during severe weather conditions. Challenges such as flooding, snow, ice formation, and low visibility significantly affect road infrastructure and safety. The aim of this study was to develop a novel approach to create a new generation of multifunctional asphalt surfaces with enhanced water repellency and luminescent properties. To achieve this objective, two types of asphalt emulsions (BC-1HT and CSS-1H), one type of superhydrophobic nanomaterial (PTFE), and one SMA mix design were evaluated through various laboratory tests. These tests included scanning electron microscopy …

Investigating The Efficacy Of Natural And Nature-Based Features To Increase The Service Life Of Coastal Roadways, Navid Jafari, Mohammad O. Hassan

Data

Wetlands serve as essential natural barriers, protecting coastal regions against the increasing threats from hurricane-induced storm surges, rising sea levels, and changing weather patterns. Understanding their structural resilience is crucial, particularly the shear strength of the wetland soil-root matrix, which contributes significantly to stability under extreme weather events. However, evaluating this shear strength is challenging due to the complex nature of root systems and the varying amounts of live biomass and necromass at different soil depths. This study utilized a Large-scale Direct Shear Apparatus (LDSA) to address this gap by assessing the shear strength of root biomass in a horizontal …

Economic, Environmental, And Social Characteristics Of E-Scooters On Lsu Campus, Mostafa Elseifi, Md Afif Rahman Chowdhury

Data

This study provides a comprehensive evaluation of e-scooter technology, with a focus on its environmental, economic, and social impacts, particularly within university settings at the Louisiana State University (LSU) campus. A life-cycle assessment (LCA) was conducted to assess the environmental sustainability of e-scooters, encompassing all stages from raw materials acquisition to end-of-life. The analysis determined that the total CO₂ emissions for an e-scooter over a five-year lifespan were approximately 389 kg, with significant reductions possible by improving the lifespan of e-scooters, integrating recycled materials, and utilizing renewable energy sources for charging batteries. The study also compared the environmental and …

Unhsc Street Sweeping Credit Calculator, Unh Stormwater Center

UNH Stormwater Center

No abstract provided.

Digital Education And Training Inventory, Ken Thomas, Robin Stubbs, Emily Shakespeare, Theresa Marie Greiwe

Tools

As the construction industry continues to evolve and increasingly embraces digitisation, an early-stage deliverable for Build Digital Project was to conduct a horizon scan of the opportunities available for those within the construction sector. A primary aim, therefore, is to provide a comprehensive inventory of educational and training provisions that exist within Ireland at present.

The resulting searchable inventory focuses on key educational sectors including Universities, Educational Training Boards (ETBS), Colleges of Further Education, Professional bodies and similar organisations.

Fem Eem Dataset: Optimising Retrofitted Insulation For Irish Residential Building Walls, Rakshit D. Muddu, Aimee Byrne, Anthony Robinson Dr.

Datasets

A large number of combinations of Irish wall types, insulation materials, and heating fuel types were produced to compare the multiple variables which influence Optimal Insulation Thickness values. The total cost (TC) and carbon emission (CE) at optimum insulation thickness (OIT) for all combinations of insulation material and three types of fuel are considered. The dataset presents OIT for solid wall, cavity wall and cavity block wall types located in Monaghan, Dublin, and Kerry.

Comparative Analysis Of 3d Printed Bridge Construction In Louisiana, Amirhosein Jafari, Ali Kazemian, Sarah Ataei

Data

A construction 3D printing system could result in automated infrastructure development at reduced cost and time, significantly boosting overall productivity. Although there has been a growing interest in using construction 3D printing for projects such as house construction, implementing this innovative technology for infrastructure development, particularly bridge construction, has not been investigated as extensively. This study aims to compare the environmental impact of precast and 3D concrete printing (3DCP) techniques with a pedestrian bridge case study, located in Louisiana, where the bridge elements were 3D printed off-site and then transported and assembled on the bridge site. A detailed cradle-to-site life …

Rebar-Free 3d Printing Of Transportation Infrastructure, Ali Kazemian, Marwa Hassan, Hassan Noorvand, Gabriel Arce, Hassan Ahmed, Ilerioluwa Giwa

Data

This study investigates the fresh and hardened-state properties of printing mixtures including different dosages of steel fibers, especially at higher dosages which have not been investigated before. This study also considers the effects of other parameters such as sand-to-powder ratio and the limestone content on the properties of steel fiber reinforced printing materials, to reduce the Portland cement content which has a high carbon footprint. The obtained experimental results revealed that high-performance materials incorporating up to 2.5% steel fibers (by volume) can be successfully 3D printed. The mechanical properties of the reinforced mixtures improved significantly at high fiber dosages (2% …

Development Of Robotics & Automation Roadmap For Road Construction/Maintenance Projects, Ashrant Aryal, Chao Wang, Chintan Vijay Vora, Sueed A. Willoughby

Data

Over the past few decades, there have been no significant improvements in the construction industry's productivity. Outside the construction industry, robots have proven to be beneficial in improving productivity, safety, and quality. There is a growing interest in adopting robots in the construction industry to address these issues. As robots get introduced to the project sites, human-robot interaction becomes an important consideration for wide-scale adoption. The success of deploying robots in the construction industry depends on how well humans collaborate with the robots. This project focused on investigating the perception of various construction industry stakeholders in adopting robots in their …

Resilient 3d-Printed Civil Infrastructure With Ultra-High Performance Engineered Cementitious Composites (Uhpeccs), Hassan Noorvand, Marwa Hassan, Ali Kazemian, Gabriel Andres Arce Amador, Daniel E. Game

Data

This study aims to develop and evaluate UHP-ECC materials for 3DP applications. To achieve this, the rheological properties of the cementitious composites were designed to accommodate 3DP functionality. Additionally, this study aimed to evaluate the hardened properties of the 3D-printed UHP-ECCs and compare them to the cast UHP-ECCs. Furthermore, the effect of variables such as sand-to-binder (S/B), fly ash-to-cement ratio (FA/C), and high-range water reducer (HRWR) content on the fresh and hardened properties of the 3D printable mixtures were evaluated. Fresh properties of mixtures were assessed by means of the flowability test, setting time test, and printability test. Hardened properties …

Calorific Value Calculation For Natural Gas -Hydrogen Blend, Utkarsha Chavan

Other resources

This is a sample calculation for the natural gas -hydrogen blend for two different gas samples. The composition of two natural gas samples is provided in two sheets. The calorific value is calculated for a blend with a molar composition of hydrogen varying from 0 to 20%. Along with calorific value (MJ/m3), Wobbe index (MJ/m3) and specific gravity are also calculated.

Development Of A Machine Learning-Based Model To Determine The Optimum And Safe Restriping Timing Of Thermoplastic Pavement Markings In Hot And Humid Climates, Momen R. Mousa, Marwa Hassan

Data

Due to limited budget, most transportation agencies restripe their thermoplastic pavement markings based on a fixed schedule or based on visual inspection instead of monitoring the retroreflectivity and restriping when the retroreflectivity drops below a pre-determined threshold. These strategies are questionable in terms of efficiency and economy. Therefore, previous studies proposed degradation models to predict the retroreflectivity of thermoplastic markings based on key variables. Yet, most of these studies reported low R² (as low as 0.1), which placed little confidence in these models. Therefore, the objective of this study was to evaluate and predict the field performance of thermoplastics …

A Deep Learning Tool For The Assessment Of Pavement Smoothness And Aggregate Segregation During Construction, Mostafa Elseifi, Ramchandra Paudel, Md Tanvir Ahmed Sarkar, Hossam Abohamer, Nirmal Dhakal

Data

Pavement construction monitoring and quality assurance (QA) practices are mostly based on costly, discrete, and destructive methods. Most quality assurance programs are based on pavement construction procedures encompassing in-situ coring for layer thickness determination, density measurements, laboratory testing to measure volumetric properties, and smoothness measurements in case of the availability of a profiler. The main objective of this study was to develop a machine learning-based classifier for predicting pavement roughness and aggregate segregation based on digital image analysis, image recognition, and deep learning machine models. The developed Convolution Neural Networks (CNN) models were trained, tested, and validated using 600-pavement surface …

Performance Monitoring Leveraging Advanced Ai Technique With Cnn, Suyun Ham Ph.D, Stefan Romanoschi, Yin Chao Wu, Dafnik Saril Kumar David, Sanggoo Kang

Data

The main goal of this project is to study and develop a reliable nondestructive testing (NDT)-based structural performance prediction model framework leveraging the advanced machine learning convolutional neural network (CNN) technique and rapid crack evaluation system. There are two steps of application CNN technique in this project: 1) the first step is to identify delamination, noise, and the unexpected signal produced by the existing damage identification algorithm to improve the accuracy of NDT results. The input image or training data of NDT data for CNN is comprehensively studied with several features, such as the duration of the signal, the starting …

Hydrodynamic Limitations To Mangrove Seedling Retention In Subtropical Estuaries, Kelly M. Kibler, Christian Pilato, Linda Walters, Melinda Donnelly, Jyotismita Taye

Flow-biota Interaction and Natural Infrastructure Design

Mangrove forest sustainability hinges upon propagule recruitment and seedling retention. This study evaluates biophysical limitations to mangrove seedling persistence by measuring anchoring force of two mangrove species (Rhizophora mangle and Avicennia germinans). Anchoring force was measured in 362 seedlings via lateral pull-tests administered in mangrove forests of two subtropical estuaries and in laboratory-based experiments. Removal mechanism varied with seedling age: newly-established seedlings failed due to root pull-out while seedlings older than 3 months failed by root breakage. Anchoring force of R. mangle seedlings was consistently and significantly greater than A. germinans (GLM: p = 0.002), however force to …

Hydrodynamic Signatures Of Recreational Boat Wakes And Their Influence To Sediment Entrainment Along The Shoreline Of A Shallow Estuary, Kelly M. Kibler

Predicting Boat Wake Bank Erosion Risk

Wave energy from recreational boat wakes is associated with erosion and degradation of shoreline ecotones. However, wake effects are often assumed to be negligible when boating lanes are located far from shore. In this study, field experiments were conducted to characterize hydrodynamics of recreational boat wakes at the shoreline of a shallow estuary as offshore sailing-line distance varied from 50 to 200m. Results indicate that wake events were considerably more energetic than ambient conditions, with an average 20% increase in wave height, 190% increase in near-bed orbital velocity, and 110% increase in wave-induced shear stress. Wake events generated farther from …

Data Supporting Effects Of Uv-C Disinfection On N95 And Kn95 Filtering Facepiece Respirator Reuse, Castine A. Bernardy, James Malley

Data Catalog

UV is a proven decontamination tool for microbial pathogens, including the SARS-CoV-2 virus. Lower log inactivation was observed on FFRs than would have been predicted by aqueous-based UV dose-response data for MS-2 bacteriophage and E. coli. Results have demonstrated that FFR materials yield varying results in terms of effective disinfection in experiments conducted on KN95 and N95 face respirators. The highest inactivation for both surrogates was observed with respirator KN95 B. The respirator yielded 3 and 2.75 log inactivation for E. coli and MS-2, respectively at UV doses of 1500 mJ/cm². KN95 A yielded the lowest …

Catalyst Regeneration Of Rap-Binder In Asphalt, D. Spivak, Subramanian Balamurugan

Data

Reclaimed Asphalt Pavement (RAP) binders are difficult to reuse because they often contain associated/aggregated molecules with very high molecular weights. This is due to the polarity gained during oxidative aging, causing the aggregation to occur. These high molecular weight components are responsible for RAP binder’s increased viscosity and certain deteriorated rheological properties. One strategy to reuse RAP binder is to mix it with virgin asphalt binder and use this partially recycled mixture in asphalt. The RAP binder is usually improved before mixing by the addition of rejuvenators, softening agents, softer binders, and antioxidants to the asphalt binder mix to rebalance …

Autonomous Vehicle Communication Strategies Modeled In Virtual Reality, Nick N. Ferenchak Ph.D

Data

We sought to better understand how autonomous vehicle (AV) communication strategies impact human road users’ perceptions and behaviors. More specifically, we explored the impact of different external human-machine interface (eHMI) designs on understanding, task load, comfort, trust, acceptance, and reaction time. To accomplish this, we created virtual reality (VR) scenarios where human participants interacted with AVs. Participants experienced biking, driving, and pedestrian simulators and were brought back after initial testing to explore acclimation and learning effects. In terms of perceptions, the presence of an eHMI was the strongest predictor of understanding, comfort, trust, and acceptance outcomes in the statistical models …