AI for American-Produced Cement and Concrete

This post introduces BOxCrete, a new Bayesian Optimization model for concrete mix design, and releases the foundational data used to develop it. It details the application of Meta's Adaptive Experimentation (Ax) platform, which uses Bayesian optimization, to intelligently navigate concrete formulations. The post highlights real-world impact through partnerships, including a data center project where an AI-optimized mix reached full structural strength 43% faster and reduced cracking risk by nearly 10%. It also mentions the open-sourcing of Meta's AI framework for concrete optimization under the MIT license and its adaptation by enterprise SaaS platforms like Quadrel.