Development and optimization of ultra-high performance concrete using local materials
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Accelerated Bridge Construction (ABC) is a set of design principles that allow for the rapid construction of bridges. In accelerated bridge construction, a material known as ultra-high performance concrete (UHPC) is often used to join structural elements of the bridge together. While the material performs well in accelerated conditions, more widespread adoption of UHPC is often hindered by its high price and the proprietary nature of commercial products. In order to address this issue, a less expensive, non-proprietary UHPC mix design is explored and developed. The research effort described in this thesis includes an experimental quantification of the effects of using various Georgian materials on compressive strength as well as an investigation on scaling the promising mix designs to production-sized batches. Finally, the emerging technology of Hierarchical Machine Learning is used to develop UHPC mix designs based on previously-published data.