Study on the Compressive Strength Predicting of Steel Fiber Reinforced Concrete Based on an Interpretable Deep Learning Method

Study on the Compressive Strength Predicting of Steel Fiber Reinforced Concrete Based on an Interpretable Deep Learning Method

Steel fiber reinforced concrete (SFRC) exhibits excellent material enhancement and toughening properties. It is widely used in applications such as airport runways, highway pavements, and bridge deck overlays. In order to predict the compressive strength of SFRC efficiently and accurately, this stud...

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Bibliographic Details
Main Authors: Huiming Wang, Jie Lin, Shengpin Guo
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Applied Sciences
Subjects:
steel fiber reinforced concrete
compressive strength
deep learning
SHAP interpretability method
interpretability
Online Access:https://www.mdpi.com/2076-3417/15/12/6848
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