2021 Oklahoma Transportation Research Day Poster Submissions

Poster #01

Author: Esteban Villalobos Vega

Title: “Test Results of Cyclic Testing on Ductile Precast End-Diaphragms of Slab-on-Grinder Concrete Bridges”

Institution: University of Oklahoma

Abstract: “Results of the test on a ductile precast concrete end-diaphragm proposal for the lateral seismic resistance and protection of the substructure of slab-on-girder concrete bridges as part of ABC solutions, are detailed and discussed. Even if the system showed an over-strength and less ductile behavior in one direction of load, in addition to a poor performance of the joint mortar, the test results demonstrated that the proposal is a viable solution and has the potential to display an outstanding performance under lateral seismic load.”

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Poster #02

Authors: Saurav Shrestha, Yongwei Shan, and Paul M. Goodrum

Title: “Mapping of State Transportation Agencies Practices and Perceptions about Project Bundling”

Institution: Oklahoma State University

Abstract: Project Bundling is an innovative contract procurement strategy in which multiple projects are bundled into a single contract. ▪ This study provides the current state of the practice and perceptions about project bundling among State Transportation Agency (STA) representatives ▪ Major Topics Covered about Project Bundling: - Benefits and Challenges - Impacts on Project - Major Factors Considered - Concerns Over Bundling

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Poster #03

Authors: Jin-Song Pei, Royce W. Floyd, Dean F. Hougen, Peng F. Tang, John M. Toshima, and Eric C. Mai

Title: “Novel Data Analysis Methods for Bridge Condition Assessment”

Institution: University of Oklahoma

Abstract: A substantial quantity of research sponsored by ODOT and conducted by the first two authors over the last decade is related to shear behavior and evaluating condition of prestressed concrete bridge girders. These methods include a simple model for prestress transfer bond, nonlinear backbone methods for system identification, and piecewise EI determination. Experimental results obtained from real-world girder tests and girder specimens constructed in the laboratory were used to develop and validate these methods. All methods show promising results for quantifying condition of prestressed concrete bridge girders, which could be used in future rating methods. An active collaboration with the third author focuses on interpretable machine learning (IML), which has a great potential of adding values to the accomplished work for bridge condition assessment and shear rating.

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Poster #04

Authors: M. Mendez Larrain, B. Hanlon, T. Razzaghi, and M. Zaman

Title: “Prediction of Unconfined Compressive Strength in Oklahoma Clays using Linear Regressions and Random Forest Models”

Institution: University of Oklahoma

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Poster #05

Authors: Ligang Shen, Mohammad Tamimi, and Mohamed Soliman

Title: “Fatigue Crack Propagation in Stiffened Panels Under Random Loading”

Institution: Oklahoma State University

Abstract: Stiffened panels are usually implemented in steel structures, i.e., highway bridge. Among others, fatigue cracking is one of the failure mechanisms in stiffened panels; especially those subjected to random variable amplitude loading conditions. The effect of loading history, such as, retardation and acceleration due to overload and under load[1], could shift the fatigue crack growth (FCG) rate greatly and affect the predicted service life of structures. Due to the complex geometry and a great number of welds in the stiffened panel, the residual stress due to welding could also impact the fatigue behavior[2,3]. The main aim of the research is to put forward a framework to predict the fatigue behavior of stiffened box girders under random variable amplitude loading. It involves both experimental investigation and numerical simulation. The experimental investigation includes small-scale and large-scale tests to obtain necessary data for validation of the numerical simulation. The numerical simulation combines the analytical fatigue crack propagation model and extended finite element model (XFEM) to build a prediction approach for the investigated stiffened panels. The developed framework will be validated and used for prediction of the fatigue life of stiffened structures.

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Poster #06

Authors: S. M. Rahat Rahman, Roksana Hossain, Nazimuddin M. Wasiuddin, and Andrew Peters

Title: “Understanding Phase Separation, Aging Characteristics and SARA Fractions of HDPE, LDPE, and PP Modified Asphalt Binder”

Institution: Louisiana Tech University

Abstract: 3, 6 and 9% thermoplastic polymers i.e. high-density polyethylene (HDPE), low-density polyethylene (LDPE), and polypropylene (PP), were mixed with the performance grade (PG) binders in the laboratory. The storage stability test, dynamic shear rheometer (DSR) temperature sweep test, chromatographic SARA fractions test were performed to investigate the phase separation behavior, aging characteristics, and chemical changes in plastic modified asphalt binder (PlMAB). It was found that 3% HDPE modified asphalt binder was a homogeneous and stable mix compared to 6 & 9% HDPE, LDPE, and PP modified asphalt binder. The 3% HDPE modified asphalt binder did not phase separate even in an extended high temperature. 4-RTFO aging and 3-PAV aging reveal that LDPE modified binders have higher aging indices than HDPE modified binders which have higher aging indices than the neat binder. 3% LDPE modified asphalt binder degrades and stiffness reduces after two days of UV aging, whereas 3% HDPE modified binder and neat binder degrades after three days and four days of UV aging, respectively. SARA tests revealed that the addition of plastic modifiers (HDPE, LDPE, and PP) increased the asphaltenes content.

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Poster #07

Authors: Mohammad Tamimi, Omid Khandel, and Mohamed Soliman

Title: “Sensitivity and Reliability Assessment of Eccentric Connections Made with Slip-Critical Bolts and Longitudinal Fillet Welds Using Artificial Neural Networks”

Institution: Oklahoma State University

Abstract: Eccentric steel connections are constructed with either bolts or welds. However, in many cases, it may be desirable to use a combination of bolts and welds to share the load, especially during the construction phase to resolve construction errors, or for retrofitting existing structures. A well-accepted method to predict the capacity of bolts group or welds only is the instantaneous center (IC) of rotation method which is adopted by the AISC. Although capacity prediction of eccentric bolted or welded only connections is well covered in literature, studies aiming at investigating the behavior of combination connections that are loaded eccentrically are still limited. Furthermore, the reliability of combinational connection was never investigated in the literature. This project presents an efficient probabilistic integrated framework for evaluating the reliability of eccentric connections made with slip-critical bolts and longitudinal fillet welds using an artificial neural network (ANN) combined with Finite Element (FE) analysis. Further it offers a comprehensive assessment of uncertainties associated with different parameters that may affect the load-carrying capacity of the connections.

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Poster #08

Authors: Sagar Ghos, Christopher R. Sumter, Paul Cancino Arevalo, Syed Ashik Ali, Kenneth R. Hobson, Musharraf Zaman, Greg Kalicki, and Darin Metzer

Title: “Performance of Asphalt Mixes Containing Recycled Plastics Incorporated Using the Dry Process and Balanced Mix Design”

Institution: University of Oklahoma

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Poster #09

Authors: Paul Cancino, Syed Ashik Ali, Musharraf Zaman, G. Scott Garland, and Matt Romero

Title: “Durability and Service Life of Recycled Concrete Aggregate (RCA) for Use in Pavement Base Construction”

Institution: University of Oklahoma

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Poster #10

Authors: Chenwei Huang and Joshua Qiang Li

Title: “Evaluating the Impact of Autonomous Vehicles at a Stillwater Intersection”

Institution: Oklahoma State University

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Poster #11

Authors: Bruce W. Russell, Alla E. Acheli, and Christopher Filip

Title: Structural Monitoring of PC Beams in the SH4 Bridge over N. Canadian River and Recommendations for Improving Designs”

Institution: Oklahoma State University

Abstract: Nearly two-thirds of new highway bridges in the United States are constructed using precast, prestressed concrete. In Oklahoma, about 90% of new bridges are constructed with PC Beams supported cast-in-place deck slabs. The research focuses in performing a low-cost structural monitoring of prestressed girder bridges. Also, this research focuses in investigating the effects (such as camber and prestress losses) of different design variables (strand patterns, inclusion of mild steel in the bottom flange).

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Poster #12

Authors: Kaustav Chatterjee, Md. Fazle Rabbi, and Deb Mishra

Title: “Analysis of Traffic Speed Deflectometer Data for Evaluating Pavement Condition in Oklahoma”

Institution: Oklahoma State University

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Poster #13

Authors: Omar Yadak and Royce Floyd

Title: “Implementation of Ultra-High Performance Concrete in the Replacement of the Lake Eufaula Spillway Bridge”

Institution: University of Oklahoma

Abstract: This poster presents the replacement of the Eufaula Spillway Bridge by the U.S. Army Corps of Engineers (USACE) with the Oklahoma Department of Transportation (ODOT). The bridge will be replaced using precast concrete deck panels with Ultra-High Performance Concrete (UHPC) connections. This replacement has the largest concentration of UHPC in Oklahoma right now and is the first use of this system in the state. Since there have been only a few projects using UHPC in this application, the USACE required a mock-up of a full slab panel connection to test the UHPC implementation. The University of Oklahoma (OU) research team was on-site during the mock-up construction to observe the UHPC placement and provide their input. They were also there during the first span placement of the bridge. Right now, more than 50% of the bridge spans are completed.

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