Prediction of the axial compression capacity of ECC-CES columns using adaptive sampling and machine learning techniques

Prediction of the axial compression capacity of ECC-CES columns using adaptive sampling and machine learning techniques

Abstract An innovative form of concrete-encased steel (CES) composite columns incorporating engineered cementitious composites (ECC) confinement (ECC-CES) has recently been introduced, displaying superior performance in failure behavior, ductility, and toughness compared to traditional CES columns....

Full description

Saved in:
Bibliographic Details
Main Author: Khaled Megahed
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Reports
Subjects:
Machine learning
Engineered cementitious composites
Adaptive sampling
Finite element modelling
Symbolic regression
CatBoost model
Online Access:https://doi.org/10.1038/s41598-025-86274-7
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1038/s41598-025-86274-7

Similar Items