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High-performance concrete compressive strength prediction using Soft computing
DOI:10.1016/j.cie.2026.111840.png)
Abstract
En 中文
• The research presents a new approach for predicting the compressive strength of high-performance concrete by combining unique feature engineering with a machine learning model optimized through advanced techniques. • A comprehensive set of features based on concrete materials science was developed, leading to the identification of the most influential factors affecting compressive strength. • Analysis techniques were employed to reveal the key predictors of compressive strength, providing valuable insights for concrete mix design and quality control.
Journal
C
IF:
6.5
Papers:
492
Citations:
0

