Phase II – Investigation of Recycled Tire Chips and Fiber Reinforcement for Use in GDOT Concrete Used To Construct Barrier Walls and Other Applications
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2020-11-01
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Edition:Final Report August 2017 – November 2020
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Abstract:Concrete median barriers (CMBs) are installed to decrease the overall severity of traffic accidents by producing higher vehicle decelerations. In 2016, an update to the AASHTO Manual for Assessing Safety Hardware (MASH) saw a 58.00 percent increase in impact severity of test level 4 (TL-4) impact conditions when compared to the NCHRP Report 350 testing criteria. This study investigates the use of fiber-reinforced rubberized CMBs in dissipating the impact energy to improve driver safety involved in crashed vehicles. This study was completed in three major investigations: (1) fiber-reinforced rubberized concrete mixtures evaluation, (2) finite element model (FEM) and laboratory-scale barrier wall testing and simulations, and (3) steel fiber–reinforced concrete (SFRC) mixture design and testing. The fiber-reinforced rubberized concrete mixture investigation examined the energy dissipation capacity of fiber-reinforced rubberized concrete mixtures subjected to impact forces. Results from this testing confirmed that fiber-reinforced rubberized concrete demonstrated significantly improved energy dissipation capacity and impact resilience, particularly with 1.00 percent steel fiber addition and 20.00 percent tire chips. An FEM was developed in order to perform a vehicle crash simulation of a single-slope CMB as a viable alternative to a full-scale crash test. Full-scale CMB prototypes incorporating shear keys were tested by applying TL-4 quasi-dynamic impact conditions. An additional investigation was performed to evaluate the influence of steel fiber volume and geometry on fresh and hardened concrete properties as well as the influence on the flexural and shear capacities of scaled laboratory beams. Lastly, machine learning methods were used to construct SFRC compressive and flexural strength prediction models.
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