2022 OTRD Poster Submissions
Videos of each presentation are listed under their respective presenters, or you may view the OTRD 2022 YouTube playlist by clicking here.
Poster #01
Title: Chemical Additives to Boost Strength Development of BCSA Cement at Colder Temperatures
Author: Behzad Farivar and Cameron D. Murray
Institution: University of Arkansas
Abstract: BCSA cement is known for its rapid setting and strength gain that make it an ideal material for rapid repair of pavements However, at low temperatures the setting time increases and the strength gain is not rapid At very low temperatures it may be impossible to achieve setting and adequate strength properties In this research, admixtures were used to overcome the negative effects of low temperatures on the setting and strength gain of BCSA cement paste. Aluminum sulfate was used to accelerate hydration and two different salts (Sodium Chloride and Calcium Chloride) were used to depress the freezing point of the mixing water. Samples were cured at 40, 14, 0, and -20 degrees Fahrenheit. The results showed that 1.5% and 2% Aluminum Sulfate by weight of cement has a positive effect at all low temperatures except -20 degrees Fahrenheit. The combined effect of 2% Sodium Chloride with 1% and 2% Aluminum Sulfate is considerably better than its counter parts at 14 degrees Fahrenheit.
Poster #02
Title: Identify Best Practices for Project Bundling Using Semi-Structured Interviews
Author: Saurav Shrestha, Yongwei Shan, Paul M., Goodrum
Institution: University of Oklahoma, Colorado State University
Abstract: Little research has been conducted to guide state transportation agencies (STAs) on effective utilization of project bundling in a holistic approach. This study presents the best practices of project bundling method that helps STAs implement the method more efficiently.
Poster #03
Title: Developing Mix Proportions of Class C Fly Ash Based Alkali-Activated Mortar in View of Different 3D-Printing Approaches
Author: Fareh Abudawaba, Ahmed Gheni, Mohamed ElGawady
Institution: Missouri University of Science and Technology
Abstract: none
Poster #04
Title: Impact of Different Parameters of CSS on Particle Size Compared to Other Asphalt Emulsion
Author: Anik Roy
Institution: University of Arkansas
Abstract: none
Poster #05
Title: A Two Stage Stochastic Optimization Model for Port Infrastructure Planning
Author: Sanjeev Bhurtyal, Sarah Hernandez, Sandra Eksioglu, Manzi Yves
Institution: University of Arkansas
Abstract: This research investigates inland port infrastructure investment planning under uncertain commodity demand conditions. A two-stage stochastic optimization is developed to model the impact of demand uncertainty on infrastructure planning and transportation decisions with an objective to minimize the total expected costs, including infrastructure investment cost, and the expected transportation costs. To solve the problem, an accelerated Benders decomposition algorithm is implemented. The Arkansas section of the McClean-Kerr Arkansas River Navigation System (MKARNS) is used as a testing ground for the model. Results show that commodity volume and, as expected, the percent of that volume that moves via waterways (in ton-miles) increases with increasing investment in port infrastructure. The model is able to identify a cluster of ports that should receive investment in port capacity under any investment scenario.
Poster #06
Title: Effectiveness of Rail-Mounted Strain Gauges for Track Support Condition Assessment
Author: Md. Fazle Rabbi, Rakan Alturk, Radim Bruzek, Theodore R. Sussmann, Hugh B. Thompson, Debakanta Mishra
Institution: Oklahoma State University
Abstract: none
Poster #07
Title: Evaluating the Impact of Various Asphalt Rejuvenating Agents on the Performance of Asphalt Binders
Author: Sagar Ghos, Syed Ashik Ali, Kenneth R. Hobson, Musharraf Zaman
Institution: University of Oklahoma
Abstract: none
Poster #08
Title: Impact of Equipment Type on Particle Size Measurement of Civil Engineering Materials
Author: Tanner Turben, Andrew Braham
Institution: University of Arkansas
Abstract: none
Poster #09
Title: Development of a Verified Non-Linear Winkler Model for the Seismic Analysis of Pile Foundations in Improved Soils
Author: Ali Shojeaian, Sumangali Sivakumaran, Kanasthasamy K. Muraleetharan
Institution: University of Oklahoma
Abstract: Earthquakes have caused significant damage to civil engineering structures worldwide due to inadequate lateral load capacity and excessive deformation of pile foundations supporting these structures. Several ground improvement techniques that are proven to be effective and economical solutions to increase the lateral stiffness and strength of weak soils around piles often result in unwarranted conservative volumes of soil improvement. There are also no rigorous techniques to analyze the seismic behavior of piles in improved soils that can be utilized in day-to-day engineering practice. In this study, a stand-alone finite element computer code called DYPAC (Dynamic Piles Analysis Code) using the Beams on Non-linear Winkler Foundation (BNWF) approach is developed to analyze the non-linear seismic response of the pile foundations in improved soils.
Poster #10
Title: Mitigation of Swelling Soil-Induced Problems in Oklahoma Using Chemical Injections
Author: L. Urbina Barrios, R. Khalife, M. Mendez, M. Zaman, T. Razzaghi
Institution: University of Oklahoma, Standard Testing and Engineering Company
Abstract: none
Poster #11
Title: Automated Damage Detection in Transportation Infrastructure
Author: Aditya Nayak, Somayeh Shojaeikhah, Mohamed Soliman, Royce W. Floyd
Institution: Oklahoma State University
Abstract: While bridges and various civil engineering structures are ageing across the world, the demand has been on a constant rise. As a result, the risk of failure and the corresponding socio economic impacts have largely increased. Furthermore, the presence of damage that may not be detected in a timely manner can lead to catastrophic consequences. So, regular monitoring and assessment of these structures have become very crucial. While visual inspection has been the most widely used technique till now, modern Structural Health Monitoring (SHM) systems aim for more reliable and cost effective ways. Today’s technology includes various high precision and durable data acquisition techniques and sensors but requires effective data processing techniques for damage assessment. The work herein explores the use of Machine Learning (ML) as an effective way to process and analyze the data for an automated damage detection methodology. Various supervised and unsupervised algorithms are considered. The performance of these techniques is tested by implementing them on data obtained from laboratory experimental analysis carried out on a prestressed concrete beam and steel box girder. Additionally, tests on a steel bridge girder specimen will be carried out to further verify the efficiency and applicability of the ML algorithms. Finally, the approach will be implemented in the field on an existing steel bridge.
Poster #12
Title: Development of a Rapid-Setting, Self-Consolidating Concrete (RSS-SCC) Mixture Design for Structural Repairs
Author: Elizabeth Poblete, Cameron Murray
Institution: University of Arkansas
Abstract: none
Poster #13
Title: Life Cycle Assessment of Asphalt Mixtures and Pavements
Author: Manouchehr Zeidi, Aisan Ranjbar Mosh Feghi, Adeoluwa Gbolade, Deb Mishra, Mary Foltz
Institution: Oklahoma State University
Abstract: none
Poster #14
Title: Effect of Chemical Warm-Mix Additives on Asphalt Binder Rheological and Chemical Properties in the Context of Aging
Author: Aisan Ranjbar Moshfeghi, Deb Mishra, Fujie Zhou
Institution: Oklahoma State University
Abstract: none
Poster #15
Title: Influence of Seasonal Changes on Shear Wave Velocity in Compacted Soils
Author: Tarew Abuawad, Gerald Miller, Kanthasamy Muraleethran
Institution: University of Oklahoma
Abstract: Shear wave velocity, is used in classifying the soil into seismic site classes based on the expected seismic behavior during ground motion. Changes in shear wave velocity due to seasonal changes in moisture content from dry to wet could lead to poor performance or failures of structures. In recent years season to season events have become more extreme, hence it is important to examine the impacts on measured shear wave velocities and seismic site classification.
Research described here involved laboratory testing to examine changes in shear wave velocity with changes in soil moisture content and suction and how this impacts seismic site classification.
Poster #16
Title: Criticality Assessment Metrics of Arkansas’s Highway System Using the Analytical Hierarchy Process (AHP) Model
Author: Kwadwo Amankwah-Nkyi
Institution: University of Arkansas
Abstract: none
Poster #17
Title: Analysis of Instrumented Airfield Pavement Data
Author: Kaustav Chatterjee, Deb Mishra
Institution: Oklahoma State University
Abstract: none
Poster #18
Title: Study to Determine an Ideal Binder Blending Parameter
Author: Mohammad Tahir Ansari
Institution: University of Arkansas
Abstract: none
Poster #19
Title: Baffling Results: In-Channel Sediment Basin Design Enhancement
Author: Cheyenne Mata, Jaime Schussler, Mike Perez
Institution: Oklahoma State University
Abstract: none
Poster #20
Title: Implementing Localization and Mapping with Advanced AI for Autonomous Navigation
Author: Daniel Vargas, Golnaz Habibi
Institution: University of Oklahoma
Abstract: Over the course of this semester, our lab has been constructing a racecar (based on the MuSHR hardware) and implementing various forms of AI programs to allow the racecar to be fully autonomous. We will transfer this software from the small scale of the racecar to a full-sized rover within the coming months.
Poster #21
Title: Compaction Control for Open Graded Aggregate Using Light Weight Deflectometer
Author: Ratul Mondal, Md. Mazle Rabbi, Deb Mishra
Institution: Oklahoma State University
Abstract: none
Poster #22
Title: Experimental and Numerical Study of Geogrid-Aggregate Interaction
Author: Mahsa Gharizadehvarnosefaderani, Deb Mishra
Institution: Oklahoma State University
Abstract: none
Poster #23
Title: Identifying Crisis Response Communities in Online Social Networks for Compound Disasters: The Case of Hurricane Laura and COVID-19
Author: Khondhaker Al Momin, H.M. Imran Kays, Arif Mohaimin Sadri
Institution: University of Oklahoma
Abstract: none
Poster #24
unavailable
Poster #25
Title: Modifying Superpave Gyratory Compaction Specification to Increase Pavement Durability
Author: Jonathan Stonestreet
Institution: University of Arkansas
Abstract: none
Poster #26
Title: Navigating the New Normal: Status of Telecommuting in the US in a Pandemic Era
Author: Adedolapo Ogungbire, Suman Mitra
Institution: University of Arkansas
Abstract: This study attempted to examine the spatio-temporal changes of telecommuting during the pandemic and identify factors influencing those changes. The study used data from the Household Pulse survey which was designed to capture the effect of the pandemic on peoples’ lives. Three definite time periods were considered for this study: i) pre vaccination, ii) active vaccination, and iii) new normal, to observe the gradual changes in the adoption of telecommuting. A binary logistic regression model was employed to identify factors influencing the adoption of telecommuting at each of the periods considered. The result of the study revealed a general reduction in those telecommuting as the pandemic winds down and the new normal set in. The new normal period defined showed that people with children, not working in public institutions, or never been married and those with higher income and education are more likely to telecommute. The findings of this study is helpful for policymakers and transportation planners considering the lasting effect of COVID-19 on the population.
Poster #27
Title: Evaluation of Bridge Approach Slab and Dynamic Load Allowance (IM) Using Sub-mm 3D Laser Imaging Technology
Author: Guolong Wang, Kelvin C.P. Wang, Guangwei Yang, Joshua Qiang Li
Institution: Oklahoma State University
Abstract: none
Poster #28
Title: Investigating Freeze-Thaw Behavior of Nanomodified Fiber-Reinforced Polymers
Author: Alexandra Liever, Stephanie Castillo, Shreya Vemuganti
Institution: University of Oklahoma
Abstract: none
Poster #29
Unavailable
Poster #30
Title: IOT Based Concrete Structure Health Monitoring System
Author: Justin Davis, Angela Franco, Jasmine Brown, Morshed Khandaker, Mohamed Bingabr, Musharraf Zaman
Institution: University of Central Oklahom
Abstract: Concrete develops cracks overtime when subjected to outside elements and tensile forces. This causes issues to arise from cracks that develop within the structures decreasing the compressive strength of the structure. Using sensor-based readings can aid in determining the health of a concrete structure. A millimeter wave scanner can be used to detect cracks and potential weak points in long stretches of roads. The possibility of products like this are highly likely as they will be cost-effective and more convenient than current solutions. This project will determine the possibility of how this system will function on a small stretch of road.
Poster #31
Title: Laboratory Evaluation of Strength, Permeability and Durability of Recycled Concrete Aggregate (RCA) for Pavement Base Construction
Author: Paul Cancino, Syed Ashik Ali, Musharraf Zaman, Kenneth Hobson
Institution: University of Oklahoma
Abstract: none
Poster #32
Title: Enhancement of Data Analysis Procedure of Traffic Speed Deflection Device for Pavement Structural Evaluation
Author: M. Mendez Larrain, S. Ali, K. Hobson, M. Zaman
Institution: University of Oklahoma
Abstract: none
Poster #33
Title: Exploring the Interdependencies Between Transportation and Stormwater Networks: The Case of Norman, Oklahom
Author: H.M. Imran Kays, Arif Mohaimin Sadri, K.K. “Muralee” Muraleetharan, P. Scott Harvey, Gerald A. Miller
Institution: University of Oklahoma
Abstract: none
Poster #34
Title: Leveraging Social Media Data to Identify Latent Indicators of Diversity, Equity, and Inclusion (DEI) of Transportation System
Author: Fariha Nazneen Rista, Md Rakibul Alam, Khondhaker Al Momin, Arif Mohaimin Sadri
Institution: University of Oklahoma
Abstract: none
Poster #35
Title: Exploring the Effects of Directionality Interventions in Road Networks Based on Topological Credentials: The Case of Sioux Falls
Author: Imran Kayes, Arif Mohaimin Sadri, Maisha Khan
Institution: University of Oklahoma
Abstract: none