Civil and Environmental Engineering Commons^™

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, …

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. …

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 …

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.

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 …

Developing A Physics-Informed Deep Learning Paradigm For Traffic State Estimation, Jiheng Huang

Electronic Theses and Dissertations, 2020-2023

The traffic delay due to congestion cost the U.S. economy $ 81 billion in 2022, and on average, each worker lost 97 hours each year during commute due to longer wait time. Traffic management and control strategies that serve as a potent solution to the congestion problem require accurate information on prevailing traffic conditions. However, due to the cost of sensor installation and maintenance, associated sensor noise, and outages, the key traffic metrics are often observed partially, making the task of estimating traffic states (TSE) critical. The challenge of TSE lies in the sparsity of observed traffic data and the …

Inelastic Pushover Response Characterization And Prediction Of A Dual Performance High-Capacity Hybrid Frame-Wall, Salih Can Rakici

Wayne State University Dissertations

The inelastic behavior of a dual performance high-capacity hybrid frame-wall system intended for cold formed steel construction is presented. The investigated frame-wall system features cold formed steel studs to support gravitational loads and a combination of cold formed steel straps and nonprestressed strands to provide braced frame action for lateral loads. In addition, hollow structural steel chords are used to resist overturning moments. The chords can be either hollow structural steel sections or steel tubes filled with ultra-high performance concrete. System behavior when subject to lateral loads or lateral displacements is characterized in terms of failure mode, ultimate strength, initial …

Social Media-Based Crisis Communication: Analysis Of Twitter Data From Local Agencies During Hurricane Irma, Naiyara Noor

Electronic Theses and Dissertations, 2020-2023

As social media platforms have become vital means of communications, it has become imperative for emergency managers and policy makers to understand how people are interacting with different agencies on these platforms for enhancing community response coordination during disasters. Although many public agencies have already adopted social media platforms for crisis communication purposes, empirical evidence on whether and how these agencies are effectively engaged on these platforms is lacking. This research aims to examine crisis communication activities of a variety of agencies on Twitter in response to Hurricane Irma in 2017. In this study, we analyzed 13,353 hurricane-related tweets posted …

Modeling Individual Activity And Mobility Behavior And Assessing Ridesharing Impacts Using Emerging Data Sources, Jiechao Zhang

Electronic Theses and Dissertations, 2020-2023

Predicting individual mobility behavior is one of the major steps of transportation planning models. Accurate prediction of individual mobility behavior will be beneficial for transportation planning. Although previous studies have used different data sources to model individual mobility behaviors, they have several limitations such as the lack of complete mobility sequences and travel mode information, limiting our ability to accurately predict individual movements. In recent years, the emergence of GPS-based floating car data (FCD) and on-demand ride-hailing service platforms can provide innovative data sources to understand and model individual mobility behavior. Compared to the previously used data sources such as …

Quality Control Methods Through Pre-Determination Of Fields For Usrap Projects, Zachary Heath

Theses and Dissertations--Civil Engineering

The United States Road Assessment Program (usRAP) was designed to rate highways for their ability to protect road users and to make recommendations to engineers and policy makers for investments to enhance road safety. The program is heavily dependent on local road data or characteristics. Pre-populating usRAP requires coders to evaluate sixty-six attributes at 100-meter intervals along a subject highway. In this thesis, methods for obtaining and assuring the quality of some of the usRAP data elements are proposed. Kentucky Transportation Cabinet Highway Information System (HIS) data are used as “ground truth” for roadway grade and curvature. Methods of using …

Historical And Forecasted Kentucky Specific Slope Stability Analyses Using Remotely Retrieved Hydrologic And Geomorphologic Data, Daniel M. Francis

Theses and Dissertations--Civil Engineering

Hazard analyses of rainfall-induced landslides have typically been observed to experience a lack of inclusion of measurements of soil moisture within a given soil layer at a site of interest. Soil moisture is a hydromechanical variable capable of both strength gains and reductions within soil systems. However, in situ monitoring of soil moisture at every site of interest is an unfeasible goal. Therefore, spatiotemporal estimates of soil moisture that are representative of in-situ conditions are required for use in subsequent landslide hazard analyses.

This study brings together various techniques for the acquisition, modeling, and forecasting of spatiotemporal retrievals of soil …

Implementation Of Digital Twins For Small Water Systems, Aidan Gill

Theses and Dissertations--Civil Engineering

The main objective of this thesis is to develop a working digital twin for a small water system in central Kentucky which will serve as a general format for other similar systems in the region wishing to implement digital twins for operator support. While the benefit of having a calibrated hydraulic and water quality model is widely understood, small distribution systems tend to not have the same financial and economic means to properly support these tools. Creation of a digital twin using this methodology provides a means for operators to predict pressure, flows, chlorine residuals, and total trihalomethane (TTHM) concentrations …

Soil Moisture And Geomorphologic Data For Use In Dynamic And Forecastable Landslide Hazard Analyses In Eastern Kentucky, Daniel M. Francis, L. Sebastian Bryson

Civil Engineering Research Data

These data are the geomorphologic and land information system-based soil moisture estimates from assimilation of NASA SMAP satellite-based observations and NOAH 3.6 Land Surface Model estimates over known landslides in Eastern Kentucky. Additionally Long Short-Term Memory Recurrent Neural Network and logistic regression machine learning codes, as well as an Application programming interface code are included. Finally, in-situ data from Eastern Kentucky is included.

Designing Exterior Lighting For Safety And Comfort While Minimizing Light Pollution, Energy Consumption, And Cost, Stephen Michael Simmons

Masters Theses

"Artificial light at night brings many benefits to society. However, these benefits do not come without costs. One environmental issue that is often overlooked in the design of public spaces and infrastructure is light pollution. At the expense of large amounts of energy, light pollution causes numerous harmful effects on human health, ecosystems, and the night sky. Today, the problem is becoming more widespread, especially with the increasing use of bright, white LED luminaires. Thus, it is imperative for designers and engineers to create smarter lighting designs that not only allow for safety and comfort at night but also promote …

Spatiotemporal Retrievals Of Soil Moisture And Geomorphologic Data For Landslide Sites In Eastern Kentucky, Lindsey Sebastian Bryson, Daniel M. Francis

Civil Engineering Research Data

These data are the soil texture, land information system-based soil moisture estimates from assimilation of NASA SMAP satellite-based observations and NOAH 3.6 Land Surface Model estimates, artificial neural network machine learning code, and in-situ soil moisture measurements.

Nondestructive Evaluation Of Structural Defects In Concrete Slabs, Ehsanul Kabir

College of Graduate Studies: Theses & Dissertations

Nondestructive testing (NDT) is a reliable method for determining the structural integrity of new and old construction and understanding the condition of structural defects. It is widely acknowledged that the interpretation of nondestructive evaluation (NDE) has a significant impact on the reliability and consistency of this technology. However, NDT data acquisition remains subjective and heavily dependent on the operator’s knowledge and expertise. As a result, there are still issues to be resolved regarding the imaging and diagnostic procedures for NDT-based concrete inspection. NDT methods such as ground penetrating radar (GPR), and impact-echo (IE), have been extensively used to inspect concrete …

Smart Mobility Sensing Of Origin-Destination Pairs Using Computer Vision, Seyed Sina Shid Moosavi

Electronic Theses and Dissertations, 2020-2023

The measurement of the origin-destination (OD) flow of individual passengers within the public transportation system plays a vital role in understanding resident mobility and facilitating route planning. Particularly in resource-limited communities, where access to advanced technologies like smart card systems may not be available, bus transportation systems play a crucial role in daily life. Traditional methods, such as driver logs, are not only time-consuming but also difficult to provide precise measurements of individualized OD pairs. Therefore, the primary objective of this study is to propose an automatic passenger sensing system (software) capable of accurately measuring OD pairs for individual passengers …

Development,Validation, And Integration Of Ai-Driven Computer Vision System And Digital-Twin System For Traffic Safety Dignostics, Ou Zheng

Electronic Theses and Dissertations, 2020-2023

The use of data and deep learning algorithms in transportation research have become increasingly popular in recent years. Many studies rely on real-world data. Collecting accurate traffic data is crucial for analyzing traffic safety. Still, traditional traffic data collection methods that rely on loop detectors and radar sensors are limited to collect macro-level data, and it may fail to monitor complex driver behaviors like lane changing and interactions between road users. With the development of new technologies like in-vehicle cameras, Unmanned Aerial Vehicle (UAV), and surveillance cameras, vehicle trajectory data can be collected from the recorded videos for more comprehensive …

A Bim-Based Digital Platform For Assessing The Whole Building Circularity Indicators Of Modular Steel Projects, Yin Min Maung

Chulalongkorn University Theses and Dissertations (Chula ETD)

The construction industry is undergoing a paradigm shift towards sustainable practices, one of which is circular economy (CE). Adopting the CE concept is a complex undertaking, which is characterized by a set of indicators capturing its key aspects. Various tools and techniques are employed to implement this novel concept. An essential step of CE implementation is evaluating the circularity of buildings. This research develops a BIM-based digital platform for assessing the whole building circularity indicators (WBCI) of modular steel projects. The platform is designed to assist in computing these indicators, which requires diverse data inputs and complex interrelated equations. The …

Implementing The Circular Economy Concept In Construction Supply Chain Management Of Modular Steel Projects, Thet Htar San

Chulalongkorn University Theses and Dissertations (Chula ETD)

The circular economy is a modern economic model where the value of products, materials, and resources is maintained in the economy as long as possible, whereas the generation of waste is minimized. The current linear take-make-dispose model prevalent in construction supply chain management is increasingly unsustainable, marked by significant resource wastage and environmental impacts. The conventional linear supply chain models in modular steel construction contribute to unsustainable resource utilization and environmental impacts. This research explores the transition from linear to circular supply chain models. We identify key actors, potential barriers, and opportunities for implementing circular economy practices in modular steel …

Factors Influencing Mode Choice Selection And Intention Of Public Transport Users : A Comparative Study Between Thailand And Indonesia During Pandemic, Aditya Mahatidanar Hidayat

Chulalongkorn University Theses and Dissertations (Chula ETD)

The COVID-19 pandemic significantly impacted public transportation, causing a substantial decline in bus passengers. In 2021, Bangkok witnessed a 40-60% reduction compared to normal conditions, while Jakarta experienced a staggering 76% decline compared to June 2019. This study aims to assess passengers' intentions to use buses during the pandemic and analyze factors influencing mode choice. Two methodologies were employed: the Structural Equation Model (SEM) to identify factors impacting transportation intentions and the Hybrid Choice Model (HCM) to understand mode choice influencers. Data collection occurred in Bangkok and Jakarta, targeting bus users at central transportation hubs, with 392 and 387 respondents. …

แพลตฟอร์มดิจิทัลที่มีการจำลองสารสนเทศอาคารเป็นพื้นฐานเพื่อการจัดการระบบปรับอากาศ, จิราธิป ตรีทิพยบุตร

Chulalongkorn University Theses and Dissertations (Chula ETD)

ปัจจุบันการจำลองสารสนเทศอาคาร (Building Information Modeling, BIM) ถูกนำมาใช้อย่างแพร่หลายตลอดวงจรชีวิตอาคาร โดยเฉพาะการดำเนินการและบำรุงรักษา (Operation and Maintenance, O&M) BIM สามารถรวบรวมข้อมูลระบบโครงสร้าง ระบบสถาปัตยกรรม และระบบประกอบอาคารต่าง ๆ รวมถึงระบบปรับอากาศซึ่งมีต้นทุน O&M สูง ข้อมูลที่หลากหลายจำเป็นต่อการวิเคราะห์และการตัดสินใจซึ่งขับเคลื่อนด้วยข้อมูล อย่างไรก็ตามการประยุกต์ใช้ BIM สำหรับการดำเนินการและบำรุงรักษาอาคารยังค่อนข้างจำกัด รวมถึงการวิเคราะห์ต้นทุนตลอดวงจรชีวิตของระบบปรับอากาศ งานวิจัยนี้พัฒนาแพลตฟอร์มดิจิทัลที่มี BIM เป็นพื้นฐานเพื่อจัดการระบบปรับอากาศ แพลตฟอร์มนี้บันทึกข้อมูลที่สำคัญของระบบปรับอากาศในช่วง O&M ของอาคารร่วมกับข้อมูลต้นทุนและการใช้งานระบบปรับอากาศเพื่อวิเคราะห์ต้นทุนตลอดวงจรชีวิต ผลวิเคราะห์นี้ถูกใช้เพื่อสนับสนุนการตัดสินใจการลงทุนว่าควรจะเปลี่ยนเครื่องปรับอากาศใหม่หรือใช้เครื่องปรับอากาศเดิมต่อไป ระบบที่พัฒนาขึ้นประกอบด้วย 3 ส่วนหลัก ส่วนแรกคือส่วนจัดการข้อมูลของระบบปรับอากาศจากแบบจำลอง BIM และต้นทุนการใช้งานระบบปรับอากาศ ส่วนที่สองคือการวิเคราะห์ต้นทุนเหล่านี้โดยอาศัยแนวคิดการวิเคราะห์ต้นทุนตลอดวงจรชีวิต (LCCA) และส่วนสุดท้ายคือการแสดงข้อมูลและผลการวิเคราะห์บนแพลตฟอร์มดิจิทัล ระบบที่พัฒนาขึ้นนี้ถูกประยุกต์ใช้วิเคราะห์ต้นทุนตลอดวงจรชีวิตของระบบปรับอากาศอาคารจามจุรี 5 จุฬาลงกรณ์มหาวิทยาลัย ผลวิจัยแสดงให้เห็นว่าระบบสามารถจัดการข้อมูลของเครื่องปรับอากาศของอาคารดังกล่าวได้อย่างมีประสิทธิภาพและสามารถช่วยตัดสินใจในการลงทุนสำหรับเครื่องปรับอากาศที่มีอยู่อันเป็นประโยชน์อย่างยิ่งต่อมหาวิทยาลัยซึ่งเป็นเจ้าของอาคาร

การศึกษาเชิงเปรียบเทียบต้นทุนตลอดอายุการใช้งานและปริมาณการปล่อยสารคาร์บอนของระบบหล่อในที่และระบบหล่อสำเร็จโดยวิธีมอนติคาร์โลและสัมประสิทธิ์, รัชชานนท์ เอี่ยมรอด

Chulalongkorn University Theses and Dissertations (Chula ETD)

อุตสาหกรรมการก่อสร้างสำคัญอย่างยิ่งต่อการพัฒนาประเทศ และยังมีแนวโน้มที่จะมีการเติบโตอย่างต่อเนื่อง ส่งผลต่อความต้องการวัสดุ แรงงาน และมลพิษที่เพิ่มขึ้นอย่างหลีกเลี่ยงไม่ได้ เพื่อลดปัญหาด้านแรงงาน เจ้าของโครงการได้หันมาใช้วิธีการก่อสร้างใหม่ ๆ มากขึ้น เช่น ระบบหล่อสำเร็จ เป็นต้น โดยมีการประเมินว่าระบบหล่อสำเร็จช่วยลดการใช้แรงงานได้ถึง 50% และลดเวลาก่อสร้างได้ 30% อย่างไรก็ตาม ต้นทุนก่อสร้างเป็นเพียงส่วนหนึ่งของต้นทุนตลอดอายุการใช้งาน ทำให้ผลการประเมินต้นทุนรวมในช่วงก่อสร้างและใช้งานอาจแตกต่างจากที่ได้ประเมินในช่วงก่อนการก่อสร้าง ดังนั้นการประเมินต้นทุนค่าใช้จ่ายตลอดอายุโครงการควรนำปัจจัยเสี่ยงมารวมในการวิเคราะห์ด้วย งานวิจัยนี้ศึกษาเปรียบเทียบต้นทุนรวมตลอดอายุของระบบคอนกรีตหล่อในที่และระบบหล่อสำเร็จ โดยประเมินต้นทุนที่เกิดขึ้นในแต่ละกระบวนการทำงาน พร้อมทั้งวิเคราะห์ปัจจัยเสี่ยงด้วยวิธีการวิเคราะห์ความอ่อนไหวรวมไปถึงการใช้แบบจำลองมอนติคาร์โลเพื่อจำลองหาช่วงค่าที่เป็นไปได้ของต้นทุนตลอดอายุการงานในโครงการก่อสร้างตัวอย่างทั้ง 6 โครงการ นอกจากนี้ยังศึกษาถึงปริมาณการปล่อยก๊าซคาร์บอนที่เกิดขึ้นในกิจกรรมผลิตวัสดุก่อสร้างและการขนส่งเพื่อนำไปใช้เป็นค่าพารามิเตอร์ในการประเมินการปล่อยสารคาร์บอนโดยวิธี Coefficient method ในโครงการก่อสร้างตัวอย่างทั้ง 6 โครงการ โดยผลลัพธ์ของการศึกษาคือ สัดส่วนของต้นทุนตลอดอายุการใช้งาน ที่ประกอบไปด้วย (1) ต้นทุนในช่วงเตรียมการและช่วงก่อสร้าง และ (2) ต้นทุนรวมในช่วงการใช้งานทั้งในมุมมองของระบบหล่อในที่และระบบหล่อสำเร็จในโครงการก่อสร้างตัวอย่างทั้ง 6 โครงการ ซึ่งพบว่าทุกโครงการตัวอย่างของต้นทุนตลอดอายุการใช้งานทั้งระบบหล่อในที่และหล่อสำเร็จนั้น มีต้นทุนรวมใน 2 ช่วงแรกมีค่ามากกว่าต้นทุนรวมในช่วงการใช้งาน (O&M phase) และยังพบว่าอัตราส่วนของต้นทุนรวมตลอดอายุการใช้งานของระบบหล่อในที่ต่อต้นทุนตลอดอายุการใช้งานของระบบหล่อสำเร็จนั้นนในแต่ละโครงการตัวอย่าง อยู่ที่ 0.60 – 0.73 (โดยไม่คำนึงถึงมิติด้านเวลาที่แตกต่างกันในช่วงการก่อสร้าง) ในส่วนของปริมาณก๊าซคาร์บอนไดออกไซด์ที่มาจากการขนส่งในโครงการก่อสร้างตัวอย่างทั้ง 6 โครงการ ที่พบว่า ระบบหล่อในที่นั้นมีปริมาณก๊าซคาร์บอนไดออกไซด์ที่มาจากการขนส่งน้อยกว่าระบบหล่อสำเร็จ ซึ่งผลที่ได้จากการศึกษานี้จะช่วยประกอบการตัดสินใจของเจ้าของโครงการในการเลือกวิธีการก่อสร้างที่เหมาะสมในบริบทของต้นทุนรวมและผลกระทบต่อสิ่งแวดล้อม

Electrospun Recycled Polyethylene Terephthalate Microfibers As An Asphalt Mix Additive, Debbrata Datta

Electronic Theses and Dissertations

In recent decades, the use of different types of fibers in asphalt has become increasingly popular. Fibers are used in an asphalt mix to improve its durability and resistance against distresses such as rutting and cracking due to repetitive vehicle loading at high temperatures, and low-temperature contraction. Consequently, accurate rheological and performance characterization of asphalt binders and mixes containing fibers is of vital importance. With increased concerns over the environmental disruptions as a result of disposing end-of-life plastics in landfills and the need for improving sustainability of the construction materials, incorporating plastic in construction materials has always been an important …

Guest Editorial: Building Performance And Sustainable Infrastructure: Unsustainable Return To Practice, Christopher Gorse, Colin Booth, Lloyd Scott

Articles

The abrupt decline in global carbon emissions experienced during the pandemic was not sustainable. Overwhelmingly, this is evidenced by the advanced economies’ swift return to close to pre-pandemic levels and, of greater concern, the total global use of fossil fuels has rebounded to their highest level in history (IEA, 2021; Jackson et al., 2022). Unfortunately, post-pandemic, the anthropic life threating activities have resumed.

Selecting Consolidation Procedures For Making Concrete Specimens, Paige Marie Toebben

Masters Theses

"The goal of this research was to reevaluate ASTM C31 Standard Practice for Making and Curing Concrete Test Specimens in the Field, as well as deepen our understanding of the relationship between the consolidation process, concrete composition, and workability. An improved understanding of this area will help to reduce variability in concrete quality. The project involved evaluating the effect of different consolidation methods on concrete specimens with changing levels of workability. To do this, concrete cylinders were created with varying viscosities by adjusting the water-to-cement ratio (w/c) and water-reducing agent. More cylinders were created with varying paste volumes while keeping …

Predictions Of The Dynamic Complex Modulus Of Non-Conventional Asphalt Concrete Using Machine Learning Techniques, Annie Benson

College of Graduate Studies: Theses & Dissertations

The complex dynamic modulus (|E*|) is a characterization property that defines the stiffness of an asphalt mixture. The dynamic modulus can be found through lab testing or predictions. Since lab testing can be time-consuming and expensive, the prediction method can be used as an alternative method. While a statistical method has been traditionally used for the |E*| prediction such as the Witczak’s predictive equations, machine learning (ML) is recently emerging as an alternative way that |E*| predictions can be made. This research attempted to predict the |E*| using several ML techniques including linear regression, support vector machines (SVM), decision trees, …