Machine learning-based prediction of torsional behavior for ultra-high-performance concrete beams with variable cross-sectional shapes

Ultra-high-performance concrete (UHPC) is renowned for its exceptional mechanical properties; however, its torsional behavior remains inadequately understood, posing challenges for its application in structures subjected to twisting loads. Existing prediction methods often fall short of accurately c...

Full description

Saved in:
Bibliographic Details
Main Authors: Elhabyb Khaoula, Baina Amine, Bellafkih Mostafa, A. Deifalla, Amr El-Said, Mohamed Salama, Ahmed Awad
Format: Article
Language:English
Published: Elsevier 2025-07-01
Series:Case Studies in Construction Materials
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2214509524012889
Tags: Add Tag
No Tags, Be the first to tag this record!