Evaluating the strength properties of high-performance concrete in the form of ensemble and hybrid models using deep learning techniques

Evaluating the strength properties of high-performance concrete in the form of ensemble and hybrid models using deep learning techniques

Abstract In the behavior of concrete, factors such as particle types, water content, aggregates, additives, and binders significantly influence its Compressive Strength (CS) properties. This study develops hybrid and ensemble models to predict compressive CS and slump flow of high-performance concre...

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Bibliographic Details
Main Authors: Zhe Wang, Tao Sun, Yan Sun, Na Liu
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Slump flow
Compressive CS
T-S fuzzy inference system
Gradient boosting machines
Decision tree
Grey wolf optimizer
Online Access:https://doi.org/10.1038/s41598-025-10860-y
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https://doi.org/10.1038/s41598-025-10860-y

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