Hybrid data-driven approaches to predicting the compressive strength of ultra-high-performance concrete using SHAP and PDP analyses

Hybrid data-driven approaches to predicting the compressive strength of ultra-high-performance concrete using SHAP and PDP analyses

Ultra-high-performance concrete (UHPC) is a cutting-edge and advanced construction material known for its exceptional mechanical properties and durability. Recently, machine learning (ML) methods have played a pivotal role in predicting the compressive strength (CS) of UHPC and evaluating the domina...

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Bibliographic Details
Main Authors: Abul Kashem, Rezaul Karim, Somir Chandra Malo, Pobithra Das, Shuvo Dip Datta, Mohammad Alharthai
Format: Article
Language:English
Published: Elsevier 2024-07-01
Series:Case Studies in Construction Materials
Subjects:
Ultra-high-performance concrete
Compressive strength
Hybrid machine learning
SHAP
PDP
Online Access:http://www.sciencedirect.com/science/article/pii/S2214509524001426

Internet

http://www.sciencedirect.com/science/article/pii/S2214509524001426

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