학술논문
Interpretable ensemble machine learning models for predicting the shear capacity of UHPC joints
Document Type
Article
Author
Source
In Engineering Structures 15 September 2024 315
Subject
Language
ISSN
0141-0296
Abstract
Highlights •An updated database consisting of 218 push-off tests of various types of UHPC joints is established.•Ensemble and individual ML models are developed to predict the shear capacity of UHPC joints.•Correlation-based and SHAP-based feature selection methods are used to optimize the ML models.•The best ML model is compared with the existing equations to highlight the advantages of the ML method.•The ML models are globally and individually interpreted using the SHAP analysis.