Using Multiple Machine Learning Models to Predict the Strength of UHPC Mixes with Various FA Percentages
Hussam Safieh,
Rami A. Hawileh,
Maha Assad
et al.
Abstract:Ultra High-Performance Concrete (UHPC) has shown extraordinary performance in terms of strength and durability. However, having a cost-effective and sustainable UHPC mix design is a challenge in the construction sector. This study aims on building a predictable model that can help in determining the compressive strength of UHPC. The research focuses on applying multiple machine learning (ML) models and evaluating their performance in predicting the strength prediction of UHPC. Two reliable metrics are used to … Show more
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