Limestone Calcined Clay Cement Machine Learning Database for Mortar Compressive Strength
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Benkeser, Daniel
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Abstract
Machine learning is becoming a more important tool in predicting the performance and behavior of cementitious systems. To accomplish this, large databases are needed to create accurate models. While historical databases do exist for ordinary portland cement and some common SCMs, newer binders, such as limestone calcined clay cement, lack these historical databases. This item contains a database of the compressive strength (ASTM C109) of limestone calcined clay cements sourced from 20 different published research articles. This is meant to assist researchers in creating new machine learning algorithms and other statistical analysis so we can better understand this material.
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Date
2025
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Unless otherwise noted, all materials are protected under U.S. Copyright Law and all rights are reserved