Research on Fracture Energy Prediction and Size Effect of Concrete Based on Deep Learning with SHAP Interpretability Method

Research on Fracture Energy Prediction and Size Effect of Concrete Based on Deep Learning with SHAP Interpretability Method

Fracture energy plays a pivotal role in ensuring the safe design of concrete structures. Currently, experimental testing remains the predominant methodology for exploring fracture energy in concrete. Nevertheless, this approach is hindered by protracted sample production cycles and test loading cond...

Full description

Saved in:
Bibliographic Details
Main Authors: Huiming Wang, Weiqi Zhang, Jie Lin, Shengpin Guo
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Buildings
Subjects:
concrete
deep learning
fracture energy
SHAP interpretation method
size effect
Online Access:https://www.mdpi.com/2075-5309/15/13/2149
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2075-5309/15/13/2149

Similar Items