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Carbon dioxide (CO2) emissions have become a significant concern in the construction industry due to its environmental impact. In response to this issue, researchers have been exploring innovative methods to sequester and store carbon within concrete, turning waste materials into valuable resources while reducing CO2 emissions. This project will focus on the potential of carbon sequestration in concrete as a sustainable approach to reducing CO2 emissions in the pavement resurfacing industry. Concrete can be an effective carbon sink by utilizing waste concrete slurry, optimizing curing conditions, and employing alternative compositions and carbonation methods. The findings will facilitate the development of ecologically friendly construction materials and practices, leading toward a greener and more sustainable future for the transportation infrastructure sector.

The main goal of this project is to develop a method to detect, classify, monitor, and track the equipment, workforce, and other surrounding objects during the construction, maintenance, and rehabilitation of transportation infrastructure by using artificial intelligence and a deep learning approach.

Self-Consolidating Concrete (SCC), also known as self-compacting concrete, is a type of hydraulic cement concrete that easily forms around the reinforcement without segregation. Using recycled fibers in the SCC mix affects the compressive strength, tensile strength, and crack initiation and propagation. The main objective of this study was to investigate the application of novel-fibers reinforcement SCC in transportation infrastructures. The improved mechanical properties of the modified SCCs make them alternative solutions for precast sections for transportation infrastructure applications compared to conventional concrete.