Prediction of self-consolidating concrete properties using XGBoost machine learning algorithm: Rheological properties

Rheological properties are critical for assessing self-consolidating concrete (SCC)’s performance and application. However, predicting these properties accurately, specifically plastic viscosity and yield stress, faces challenges due to inconsistent data, small sample sizes, and measurement inaccura...

Full description

Saved in:
Bibliographic Details
Published in:Powder technology Vol. 438; p. 119623
Main Authors: Safhi, Amine el Mahdi, Dabiri, Hamed, Soliman, Ahmed, Khayat, Kamal H.
Format: Journal Article
Language:English
Published: Elsevier B.V 01.04.2024
Subjects:
ISSN:0032-5910, 1873-328X
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Be the first to leave a comment!
You must be logged in first