Abstract: Artificial intelligence and machine learning models are used to make concrete-related predictions. Many permutations of concrete mixtures are generated. Machine learning algorithms are used to evaluate and recommend a generated concrete mixture based on a set of specifications. The generated concrete mixture can be sent to a plant for production. The actual concrete mixture that was used to manufacture the concrete product can be received from the manufacturer. An amount of emission reductions and/or cost savings can be determined from the actual as-batched concrete mixture and an associated reference concrete mixture. The real-world data are used to train the machine learning models.

Abstract: Artificial intelligence and machine learning models are used to make concrete-related predictions. Many permutations of concrete mixtures are generated. Machine learning algorithms are used to evaluate and recommend a generated concrete mixture based on a set of specifications. The generated concrete mixture can be sent to a plant for production. The actual concrete mixture that was used to manufacture the concrete product can be received from the manufacturer. An amount of emission reductions and/or cost savings can be determined from the actual as-batched concrete mixture and an associated reference concrete mixture. The real-world data are used to train the machine learning models.